10 AI Tools for Academic Research

10 Best AI Tools for Academic Research

Here are a few AI tools that will come in handy for your academic research.

1. Semantic Scholar

Semantic Scholar This is one of the best AI tools for research, frequently used by students in computer science & engineering, biomedical science, and so on. It will search for the right sources for you by analyzing academic papers using natural language processing.

Furthermore, it includes great summaries of research topics and finds the important sections in papers automatically which makes for a functional AI tool when doing your research.

Features:

• Understanding the scientific paper in context to deliver the result
• Connect with more than 200 million documents using a multitude of data sources and web crawls.
• Auto-generate one-line summaries for all articles to select the deeper dive you are looking for
• Semantic readers will provide you with an understanding of the literature.

Pros

• Filter results for fast, relevant, and more precise results.
• Iterates on the tool using user feedback, and customizes their experience.

Cons

• The summary contains minor accuracy errors and AI-generated references
• This is still far from providing access to the full text of all papers.

Official Website:  https://www.semanticscholar.org/

2. Google Scholar

Google Scholar is the only easy user interface without any complicated navigations while typing the content topics will give you the results. Google Scholar is very easy to use and you can just type in the topic and bam!- a list of stuff that kind of matches will pop up faster than a roadrunner on an open highway. It displays search results tagged as PDF and HTML, so you know in advance if the full text of an article is available.

Features:

• Help researchers in getting recent articles, research papers/ literature, and conference papers.
• Source Citations & Publications
• Search for your partial contents by topics, look up which search relates, and retrieve full-length articles on academic studies.

Pros

• Search Academic/Literature Topics — Filter by Journal, Keyword(s), Author Name (contains/starts with) using natural language.

Cons

• The material you locate may be only cursorily reviewed and source credibility can be a concern.

Official Website: https://scholar.google.com/

3. Consensus

A consensus is an AI tool for research that collects published articles of discourse and peer-reviewed articles. This is useful for people who want to grasp an understanding of the field more deeply. It utilizes natural language processing for reliable and accurate research articles in a way that users get a better understanding of the subject. Online or research students also find this tool quite handy, especially in the fields of STEM and Business.

Features:

• Review the scientific literature identified by your search to provide only evidence-based and reliable research articles.
• It will use AI to help people discover articles from the web.
• Provide answers to scientific questions that will help the researchers.
• Summarize findings from scientific articles & link to content by respected scientists.

Pros

• Create a list of research questions and assist in finding data for the early stages of research.

Cons

• Not appropriate for research studies that need to be of high quality and reproducibility.

Official Website: https://consensus.app/

4. Trinka

It is widely used for academic sentences and technical writing as Trinka. This is a very good resource for writing accurate, professional, and quality-oriented thesis papers as it takes care of grammar checking too along with spelling mistakes. It also makes sure that your study papers comply with the AMA and APA design guides since they are vital for publication.

Features:

• Assistance in writing accurate and quality thesis papers across various projects.
• Find the grammar, spelling, tone as also style and correct them.
• This is the tool that makes AMA and APA-style academic papers
• Provide publication checks and auto-edit to publish files

Pros

• Helps you point out grammar and fix spelling but at the same time provides suggestions for some contextual words based on your writing style.

Cons

• The initial load time of the tool is a little higher which acts as a bane for fast feedback requirements

Official Website: https://www.trinka.ai/

5. Mendeley

Mendeley is for research and does a good job of organizing PDFs, creating bibliographies, and annotating scholarly documents correctly. Mendeley even has collaboration capabilities that help fellow team members share and work together on research projects. This AI research tool also seamlessly integrates with standard academic practices, which is what makes it one of the top tools for researchers within academia and industries like tech writing or market research.

Features:

• Provide collaboration so you can invite others to collaborate, and share work and a saved interesting article with your team.
• Seamless integration with academic conventions of handling papers
• You can import all your documents in one place using the web importer plugin
• Find comments and notes in PDF documents with ease

Pros

• Provide formats for journal references and improve the citation speed.
• Create folders to organize your references and send them in email.

Official Website: www.Mendeley.com

6. Scholarcy

Scholarcy is an important tool for research (automating literature reading, structured summary examination, and key data extraction from entire scholarly articles). It identifies figures and tables and collates key terms for a topic. This research-based AI tool identifies key contributions to research topics and creates flashcards with papers. It helps in saving a lot of time and effort to read the research papers using Scholarcy.

Features:

• The citation managers help organize and cite the sources for research work.
• Highlights important contributions to the topics that you are searching for so as not to miss out.
• Make flashcards to make your users read research papers conveniently.
• Expand your review of the literature regarding this topic.

Pros

• Easily summarize research paper topics for time and energy saving
• Provides URLs to the cited resources so that you can access the research material.

Cons

• Exporting the essay summary may have been too inaccurate and led to plagiarism.
• AI-generated summary would only encompass some of the key highlights in the paper.

Official Website: https://www.scholarcy.com/

7. Knewton

It is an AI-powered platform known as Knewton and an AI tool for research that helps students, and researchers to further personalize their educational experience. It would create learning content for you based on your way of study. The platform provides a variety of media including videos, games, and puzzles to support teaching Interactive STEM content in a fun yet effective way. Knewton, the adaptive learning technology that analyzes student performance to pinpoint strengths and weaknesses as they occur.

Features:

• Adapts content and educates depending on the students.
• Assess the student and provide them with real-time strengths & weaknesses in his/her work.
• It includes engaging videos, games, and puzzles in vogue with the latest teaching practice.
• You can find courses where you want to learn everything quickly, in one spot across all subjects.

Pros

• Adaptive learning creates personalized lessons that accommodate your needs.

Official Website: https://support.knewton.com/s/

8. Elicit

Elicit is best for qualitative researchers as it can handle large amounts of data and find the most impactful ones. Elicit can be used to visualize summaries of data, and thus help its users interpret information well; it is an essential tool for academic researchers who need more knowledge about their inputs.

Features:

• Summarization and visualization
• Automate the extraction and collation of information.
• There are 200 million research papers, and it sums them up in one sentence.
• The research (extracting the details) is simple you will be able to convert it into a table so that you can easily search for the required information.

Pros

• Streamline the entire literature review work and save you time.
• Look for the papers you may have overlooked by searching by keyword.

Official Website: https://elicit.com/

9. IBM Watson

IBM Watson (used to process natural languages and discover articles) is another of the free AI tools for research. The analysis of complex datasets is performed very best and in a single-step fashion. streaming: This allows you to research the tough data easily. This research AI is widely used in different sectors like finance, education, and healthcare industries. IBM Watson also can extract data, analyze sentiments, and detect languages for more helpful research with your AI tool.

Features:

• Leverage NLP and other AI techniques to generate actionable insights faster.
• They are implemented by a variety of industries, such as finance, education, and healthcare for delivering suitable articles.
• Analyze unstructured data for insights

Pros

• Provide in-depth data analysis offered by the functionality of AI.
• Data Confidentiality

Cons

• However, the tool is tough for people who are new and need additional training.
• Using the dashboard is awkward due to its design.

Official Website link: https://www.ibm.com/watson/

10. Scite

An AI-powered platform for Citations based on different NLP and machine learning methods evaluates the inter-references as being dependent on each other or detecting resistance to evaluating not only quality but also impact. The site uses visualizations and metrics to help you make sense of the citation landscape, and explore related topics.

Features:

• Our visualizations and metrics will support you in your learning of the citation landscape to a subdomain.
• It has Research articles, Datasets, Preprints, and Citation statements for a detailed study.

Pros

• Provide context for contradictory claims by citing sources
• Provide up to 1.2 billion citation assertions giving you access to the drafts of academic papers

Official Website: https://scite.ai/

How You Can Pick the Right AI Tools for Academic Research

We all know that not every tool/ software is the best and on top of it, we have to keep up with advancing technologies. To help you choose better here are a few points/types that will give a clear idea of how an ideal AI authoring tool for academic research should be working like:

• Objective: You should know the purpose you want to achieve by using this tool. You can apply this to research with a bit of creativity, and you also may manipulate images or create textural content through that.
• Purpose: Go through the official website for more information including its features and pricing.
• Learning curve: The complex tool will consume most of your time, so prefer the easy one.

 

AI tools for research are indeed the game-changers in this world of researchers. You can use these AI + ML-powered academic research tools to make your research process easy and confirm the correctness, and relevance of its work. In other words, whether it may be free plagiarism detection tools or paid advanced software to detect and avoid plagiarism in your academic research and not just that – these AI-powered tools will help you a lot in processing as well for analysis work.