Mayank Kejriwal

62 papers and 265 indexed citations i.

About

Mayank Kejriwal is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Mayank Kejriwal has authored 62 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 17 papers in Management Science and Operations Research and 16 papers in Information Systems. Recurrent topics in Mayank Kejriwal’s work include Data Quality and Management (14 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (13 papers). Mayank Kejriwal is often cited by papers focused on Data Quality and Management (14 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (13 papers). Mayank Kejriwal collaborates with scholars based in United States, Italy and France. Mayank Kejriwal's co-authors include Pedro Szekely, Daniel P. Miranker, Ke Shen, Vanessa López, Juan Sequeda, Deborah L. McGuinness, Rahul Kapoor, Craig A. Knoblock, Mozhdeh Gheini and Faizan Javed and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Mayank Kejriwal i

Fields of papers citing papers by Mayank Kejriwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayank Kejriwal. 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 Mayank Kejriwal. The network helps show where Mayank Kejriwal may publish in the future.

Countries citing papers authored by Mayank Kejriwal

Since Specialization
Citations

This map shows the geographic impact of Mayank Kejriwal'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 Mayank Kejriwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Kejriwal 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025