Mayur Naik

48 papers and 677 indexed citations
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About

Mayur Naik is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Mayur Naik has authored 48 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Information Systems and 22 papers in Software. Recurrent topics in Mayur Naik’s work include Software Testing and Debugging Techniques (22 papers), Software Engineering Research (20 papers) and Logic, programming, and type systems (15 papers). Mayur Naik is often cited by papers focused on Software Testing and Debugging Techniques (22 papers), Software Engineering Research (20 papers) and Logic, programming, and type systems (15 papers). Mayur Naik collaborates with scholars based in United States, United Kingdom and Israel. Mayur Naik's co-authors include Alex Aiken, Michael I. Jordan, Alice X. Zheng, Ben Liblit, John Whaley, Hongseok Yang, Percy Liang, Radu Grigore, Xujie Si and Mukund Raghothaman and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE/ACM Transactions on Networking and IEEE Transactions on Mobile Computing.

In The Last Decade

Co-authorship network of co-authors of Mayur Naik

This figure shows the co-authorship network connecting the top 25 collaborators of Mayur Naik. A scholar is included among the top collaborators of Mayur Naik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayur Naik. Mayur Naik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Mayur Naik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayur Naik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mayur Naik. The network helps show where Mayur Naik may publish in the future.

Countries citing papers authored by Mayur Naik

Since Specialization
Citations

This map shows the geographic impact of Mayur Naik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mayur Naik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayur Naik more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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