Sumit Negi

8 papers and 37 indexed citations i.

About

Sumit Negi is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Sumit Negi has authored 8 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 1 paper in Sociology and Political Science. Recurrent topics in Sumit Negi’s work include Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (2 papers) and Algorithms and Data Compression (2 papers). Sumit Negi is often cited by papers focused on Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (2 papers) and Algorithms and Data Compression (2 papers). Sumit Negi collaborates with scholars based in United States, India and France. Sumit Negi's co-authors include L. Venkata Subramaniam, Tanveer A. Faruquie, Himanshu Gupta, Mukesh Mohania, Shourya Roy, Jayant Kalagnanam, Danish Contractor, Sreangsu Acharyya, Ganesh Ramakrishnan and L. V. Subramaniam and has published in prestigious journals such as International Journal on Document Analysis and Recognition (IJDAR), Studies in health technology and informatics and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Sumit Negi i

Fields of papers citing papers by Sumit Negi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumit Negi

Since Specialization
Citations

This map shows the geographic impact of Sumit Negi'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 Sumit Negi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Negi 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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2025