Nikesh Garera

8 papers and 74 indexed citations i.

About

Nikesh Garera is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Nikesh Garera has authored 8 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Nikesh Garera’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (3 papers). Nikesh Garera is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (3 papers). Nikesh Garera collaborates with scholars based in United States. Nikesh Garera's co-authors include Anand Rajaraman, Sanjib Das, AnHai Doan, Venky Harinarayan, Xiaoyong Chai, Alexander I. Rudnicky, David Yarowsky, Paul McNamee, Markus Dreyer and Mark Dredze and has published in prestigious journals such as Proceedings of the VLDB Endowment, OPAL (Open@LaTrobe) (La Trobe University) and Maryland Shared Open Access Repository (USMAI Consortium).

In The Last Decade

Co-authorship network of co-authors of Nikesh Garera i

Fields of papers citing papers by Nikesh Garera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nikesh Garera

Since Specialization
Citations

This map shows the geographic impact of Nikesh Garera'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 Nikesh Garera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikesh Garera 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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2026