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A free, AI-powered research tool for scientific literature

  • George M. Church
  • Roman Empire
  • Critical Mass

New & Improved API for Developers

Introducing semantic reader in beta.

Stay Connected With Semantic Scholar Sign Up What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

Reference management. Clean and simple.

The top list of academic search engines

academic search engines

1. Google Scholar

4. science.gov, 5. semantic scholar, 6. baidu scholar, get the most out of academic search engines, frequently asked questions about academic search engines, related articles.

Academic search engines have become the number one resource to turn to in order to find research papers and other scholarly sources. While classic academic databases like Web of Science and Scopus are locked behind paywalls, Google Scholar and others can be accessed free of charge. In order to help you get your research done fast, we have compiled the top list of free academic search engines.

Google Scholar is the clear number one when it comes to academic search engines. It's the power of Google searches applied to research papers and patents. It not only lets you find research papers for all academic disciplines for free but also often provides links to full-text PDF files.

  • Coverage: approx. 200 million articles
  • Abstracts: only a snippet of the abstract is available
  • Related articles: ✔
  • References: ✔
  • Cited by: ✔
  • Links to full text: ✔
  • Export formats: APA, MLA, Chicago, Harvard, Vancouver, RIS, BibTeX

Search interface of Google Scholar

BASE is hosted at Bielefeld University in Germany. That is also where its name stems from (Bielefeld Academic Search Engine).

  • Coverage: approx. 136 million articles (contains duplicates)
  • Abstracts: ✔
  • Related articles: ✘
  • References: ✘
  • Cited by: ✘
  • Export formats: RIS, BibTeX

Search interface of Bielefeld Academic Search Engine aka BASE

CORE is an academic search engine dedicated to open-access research papers. For each search result, a link to the full-text PDF or full-text web page is provided.

  • Coverage: approx. 136 million articles
  • Links to full text: ✔ (all articles in CORE are open access)
  • Export formats: BibTeX

Search interface of the CORE academic search engine

Science.gov is a fantastic resource as it bundles and offers free access to search results from more than 15 U.S. federal agencies. There is no need anymore to query all those resources separately!

  • Coverage: approx. 200 million articles and reports
  • Links to full text: ✔ (available for some databases)
  • Export formats: APA, MLA, RIS, BibTeX (available for some databases)

Search interface of Science.gov

Semantic Scholar is the new kid on the block. Its mission is to provide more relevant and impactful search results using AI-powered algorithms that find hidden connections and links between research topics.

  • Coverage: approx. 40 million articles
  • Export formats: APA, MLA, Chicago, BibTeX

Search interface of Semantic Scholar

Although Baidu Scholar's interface is in Chinese, its index contains research papers in English as well as Chinese.

  • Coverage: no detailed statistics available, approx. 100 million articles
  • Abstracts: only snippets of the abstract are available
  • Export formats: APA, MLA, RIS, BibTeX

Search interface of Baidu Scholar

RefSeek searches more than one billion documents from academic and organizational websites. Its clean interface makes it especially easy to use for students and new researchers.

  • Coverage: no detailed statistics available, approx. 1 billion documents
  • Abstracts: only snippets of the article are available
  • Export formats: not available

Search interface of RefSeek

Consider using a reference manager like Paperpile to save, organize, and cite your references. Paperpile integrates with Google Scholar and many popular databases, so you can save references and PDFs directly to your library using the Paperpile buttons:

academic journals research paper

Google Scholar is an academic search engine, and it is the clear number one when it comes to academic search engines. It's the power of Google searches applied to research papers and patents. It not only let's you find research papers for all academic disciplines for free, but also often provides links to full text PDF file.

Semantic Scholar is a free, AI-powered research tool for scientific literature developed at the Allen Institute for AI. Sematic Scholar was publicly released in 2015 and uses advances in natural language processing to provide summaries for scholarly papers.

BASE , as its name suggest is an academic search engine. It is hosted at Bielefeld University in Germany and that's where it name stems from (Bielefeld Academic Search Engine).

CORE is an academic search engine dedicated to open access research papers. For each search result a link to the full text PDF or full text web page is provided.

Science.gov is a fantastic resource as it bundles and offers free access to search results from more than 15 U.S. federal agencies. There is no need any more to query all those resources separately!

academic journals research paper

How to find the right journal for your research (using actual data)

academic journals research paper

Joanna Wilkinson

Want to help your research flourish? We share tips for using publisher-neutral data and statistics to find the right journal for your research paper.

The right journal helps your research flourish. It puts you in the best position to reach a relevant and engaged audience, and can extend the impact of your paper through a high-quality publishing process.

Unfortunately, finding the right journal is a particular pain point for inexperienced authors and those who publish on interdisciplinary topics. The sheer number of journals published today is one reason for this. More than 42,000 active scholarly peer-reviewed journals were published in 2018 alone, and there’s been accelerated growth of more than 5% in recent years.

The overwhelming growth in journals has left many researchers struggling to find the best home for their manuscripts which can be a daunting prospect after several long months producing research. Submitting to the wrong journal can hinder the impact of your manuscript. It could even result in a series of rejections, stalling both your research and career. Conversely, the right journal can help you showcase your research to the world in an environment consistent with your values.

Keep reading to learn how solutions like Journal Citation Reports ™ (JCR) and Master Journal List   can help you find the right journal for your research in the fastest possible time.

What to look for in a journal and why

To find the right journal for your research paper, it’s important to consider what you need and want out of the publishing process.

The goal for many researchers is to find a prestigious, peer-reviewed journal to publish in. This might be one that can support an application for tenure, promotion or future funding. It’s not always that simple, however. If your research is in a specialized field, you may want to avoid a journal with a multidisciplinary focus. And if you have ground-breaking results, you may want to pay attention to journals with a speedy review process and frequent publication schedule. Moreover, you may want to publish your paper as open access so that it’s accessible to everyone—and your institution or funder may also require this.

With so many points to consider, it’s good practice to have a journal in mind before you start writing. We published an earlier post to help you with this: Find top journals in a research field, step-by-step guide . Check it out to discover where the top researchers in your field are publishing.

Already written your manuscript? No problem: this blog will help you use publisher-neutral data and statistics to choose the right journal for your paper.

First stop: Manuscript Matcher in the Master Journal List

Master Journal List Manuscript Matcher is the ultimate place to begin your search for journals. It is a free tool that helps you narrow down your journal options based on your research topic and goals.

Find the right journal with Master Journal List

Pairing your research with a journal

Manuscript Matcher, also available via EndNote™ , provides a list of relevant journals indexed in the Web of Science™ . First, you’ll want to input your title and abstract (or keywords, if you prefer). You can then filter your results using the options shown on the left-hand sidebar, or simply click on the profile page of any journal listed.

Each journal page details the journal’s coverage in the Web of Science. Where available, it may also display a wealth of information, including:

  • open access information (including whether a journal is Gold OA)
  • the journal’s aims and scope
  • download statistics
  • average number of weeks from submission to publication, and
  • peer review information (including type and policy)

Ready to try Manuscript Matcher? Follow this link .

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Identify the journals that are a good topical fit for your research using Manuscript Matcher. You can then move to Journal Citation Reports to understand their citation impact, audience and open access statistics.

Find the right journal with Journal Citation Reports

Journal Citation Reports   is the most powerful solution for journal intelligence. It uses transparent, publisher-neutral data and statistics to provide unique insight into a journal’s role and influence. This will help you produce a definitive list of journals best-placed to publish your findings, and more.

academic journals research paper

Three data points exist on every journal page to help you assess a journal as a home for your research. These are: citation metrics, article relevance and audience.

Citation Metrics

The Journal Impact Factor™ (JIF) is included as part of the rich array of citation metrics offered on each journal page. It shows how often a journal’s recently published material is cited on average.

Learn how the JIF is calculated in this guide .

It’s important to note that the JIF has its limitations and no researcher should depend on the impact factor alone when assessing the usefulness or prestige of a journal. Journal Citation Reports helps you understand the context of a journal’s JIF and how to use the metric responsibly.

The JCR Trend Graph, for example, places the JIF in the context of time and subject category performance. Citation behavior varies across disciplines, and journals in JCR may be placed across multiple subject categories depending on the scope of their content. The Trend Graph shows you how the journal performs against others in the same subject category. It also gives you an understanding of how stable that performance is year-on-year.

You can learn more about this here .

The 2021 JCR release introduced a new, field-normalized metric for measuring the citation impact of a journal’s recent publications. By normalizing for different fields of research and their widely varying rates of publication and citation, the Journal Citation Indicator provides a single journal-level metric that can be easily interpreted and compared across disciplines. Learn more about the Journal Citation Indicator here .

Article relevance

The Contributing Items section in JCR demonstrates whether the journal is a good match for your paper. It can also validate the information you found in the Manuscript Matcher. You can view the full list in the Web of Science by selecting “Show all.”

JCR helps you understand the scholarly community engaging with a journal on both a country and an institutional level. This information provides insight on where in the world your own paper might have an impact if published in that particular journal. It also gives you a sense of general readership, and who you might be talking to if you choose that journal.

Start using Journal Citation Reports today .

Ready to find the right journal for your paper?

The expansion of scholarly journals in previous years has made it difficult for researchers to choose the right journal for their research. This isn’t a good position to be in when you’ve spent many long months preparing your research for the world. Journal Citation Reports , Manuscript Matcher by Master Journal List  and the Web of Science  are all products dedicated to helping you find the right home for your paper. Try them out today and help your research flourish.

Stay connected

Want to learn more?  You can also read related articles in our Research Smarter series,  with guidance on finding the relevant papers for your research  and how you can save hundreds of hours in the writing process . You can also read about the 2022 JCR release here . Finally, subscribe to receive our latest news, resources and events to help make your research journey a smart one.

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  • 29 April 2024

How reliable is this research? Tool flags papers discussed on PubPeer

  • Dalmeet Singh Chawla

You can also search for this author in PubMed   Google Scholar

A magnifying glass illuminated by the screen of a partial open laptop in the dark.

RedacTek’s tool alerts users to PubPeer discussions, and indicates when a study, or the papers that it cites, has been retracted. Credit: deepblue4you/Getty

A free online tool released earlier this month alerts researchers if a paper cites studies that are mentioned on the website PubPeer , a forum scientists often use to raise integrity concerns surrounding published papers.

Studies are usually flagged on PubPeer when readers have suspicions, for example about image manipulation , plagiarism , data fabrication or artificial intelligence (AI)-generated text . PubPeer already offers its own browser plug-in that alerts users if a study that they are reading has been posted on the site. The new tool, a plug-in released on 13 April by RedacTek , based in Oakland, California, goes further — it searches through reference lists for papers that have been flagged. The software pulls information from many sources, including PubPeer’s database; data from the digital-infrastructure organization Crossref, which assigns digital object identifiers to articles; and OpenAlex , a free index of hundreds of millions of scientific documents.

It’s important to track mentions of referenced articles on PubPeer, says Jodi Schneider, an information scientist at the University of Illinois Urbana-Champaign, who has tried out the RedacTek plug-in. “Not every single reference that’s in the bibliography matters, but some of them do,” she adds. “When you see a large number of problems in somebody’s bibliography, that just calls everything into question.”

The aim of the tool is to flag potential problems with studies to researchers early on, to reduce the circulation of poor-quality science, says RedacTek founder Rick Meyler, who is based in Emeryville, California. Future versions might also use AI to automatically clarify whether the PubPeer comments on a paper are positive or negative, he adds.

Third-generation retractions

As well as flagging PubPeer discussions, the plug-in alerts users if a study, or a paper that it cites, has been retracted. There are existing tools that alert academics about retracted citations ; some can do this during the writing process, so that researchers are aware of the publication status of studies when constructing bibliographies. But with the new tool, users can opt in to receive notifications about further ‘generations’ of retractions — alerts cover not only the study that they are reading, but also the papers it cites, articles cited by those references and even papers cited by the secondary references.

The software also calculates a ‘retraction association value’ for studies, a metric that measures the extent to which the paper is associated with science that has been withdrawn from the literature. As well as informing individual researchers, the plug-in could help scholarly publishers to keep tabs on their own journals, Meyler says, because it allows users to filter by publication.

In its ‘paper scorecard’, the tool also flags any papers in the three generations of referenced studies in which more than 25% of papers in the bibliography are self-citations — references by authors to their previous works.

Future versions could highlight whether papers cited retracted studies before or after the retraction was issued, notes Meyler, or whether mentions of such studies acknowledge the retraction. That would be useful, says Schneider, who co-authored a 2020 analysis that found that as little as 4% of citations to retracted studies note that the referenced paper has been retracted 1 .

Meyler says that RedacTek is currently in talks with the scholarly-services firm Cabell’s International in Beaumont, Texas, which maintains pay-to-view lists of suspected predatory journals . These publish articles without running proper quality checks for issues such as plagiarism, but still collect authors’ fees. The plan is to use these lists to improve the tool so that it can also automatically flag any cited papers that are published in such journals.

doi: https://doi.org/10.1038/d41586-024-01247-6

Schneider, J., Ye, D., Hill, A. M. & Whitehorn, A. S. Scientometrics 125 , 2877–2913 (2020).

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Some scientists can't stop using AI to write research papers

If you read about 'meticulous commendable intricacy' there's a chance a boffin had help.

Linguistic and statistical analyses of scientific articles suggest that generative AI may have been used to write an increasing amount of scientific literature.

Two academic papers assert that analyzing word choice in the corpus of science publications reveals an increasing usage of AI for writing research papers. One study , published in March by Andrew Gray of University College London in the UK, suggests at least one percent – 60,000 or more – of all papers published in 2023 were written at least partially by AI.

A second paper published in April by a Stanford University team in the US claims this figure might range between 6.3 and 17.5 percent, depending on the topic.

Both papers looked for certain words that large language models (LLMs) use habitually, such as “intricate,” “pivotal,” and “meticulously." By tracking the use of those words across scientific literature, and comparing this to words that aren't particularly favored by AI, the two studies say they can detect an increasing reliance on machine learning within the scientific publishing community.

academic journals research paper

In Gray's paper, the use of control words like "red," "conclusion," and "after" changed by a few percent from 2019 to 2023. The same was true of other certain adjectives and adverbs until 2023 (termed the post-LLM year by Gray).

In that year use of the words "meticulous," "commendable," and "intricate," rose by 59, 83, and 117 percent respectively, while their prevalence in scientific literature hardly changed between 2019 and 2022. The word with the single biggest increase in prevalence post-2022 was “meticulously”, up 137 percent.

The Stanford paper found similar phenomena, demonstrating a sudden increase for the words "realm," "showcasing," "intricate," and "pivotal." The former two were used about 80 percent more often than in 2021 and 2022, while the latter two were used around 120 and almost 160 percent more frequently respectively.

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The researchers also considered word usage statistics in various scientific disciplines. Computer science and electrical engineering were ahead of the pack when it came to using AI-preferred language, while mathematics, physics, and papers published by the journal Nature, only saw increases of between five and 7.5 percent.

The Stanford bods also noted that authors posting more preprints, working in more crowded fields, and writing shorter papers seem to use AI more frequently. Their paper suggests that a general lack of time and a need to write as much as possible encourages the use of LLMs, which can help increase output.

Potentially the next big controversy in the scientific community

Using AI to help in the research process isn't anything new, and lots of boffins are open about utilizing AI to tweak experiments to achieve better results. However, using AI to actually write abstracts and other chunks of papers is very different, because the general expectation is that scientific articles are written by actual humans, not robots, and at least a couple of publishers consider using LLMs to write papers to be scientific misconduct.

Using AI models can be very risky as they often produce inaccurate text, the very thing scientific literature is not supposed to do. AI models can even fabricate quotations and citations, an occurrence that infamously got two New York attorneys in trouble for citing cases ChatGPT had dreamed up.

"Authors who are using LLM-generated text must be pressured to disclose this or to think twice about whether doing so is appropriate in the first place, as a matter of basic research integrity," University College London’s Gray opined.

The Stanford researchers also raised similar concerns, writing that use of generative AI in scientific literature could create "risks to the security and independence of scientific practice." ®

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