Neeraj Pradhan

4 papers and 13 indexed citations i.

About

Neeraj Pradhan is a scholar working on Information Systems, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Neeraj Pradhan has authored 4 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 1 paper in Computational Theory and Mathematics and 1 paper in Management Science and Operations Research. Recurrent topics in Neeraj Pradhan’s work include Data Mining Algorithms and Applications (2 papers), Recommender Systems and Techniques (2 papers) and Matrix Theory and Algorithms (1 paper). Neeraj Pradhan is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Recommender Systems and Techniques (2 papers) and Matrix Theory and Algorithms (1 paper). Neeraj Pradhan collaborates with scholars based in United States and Israel. Neeraj Pradhan's co-authors include Vinay Deolalikar, Kang Li, Eli Bingham, Fritz Obermeyer, Martin Jankowiak, Noah D. Goodman, Justin Chiu and Alexander M. Rush and has published in prestigious journals such as International Conference on Machine Learning and 2021 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Co-authorship network of co-authors of Neeraj Pradhan i

Fields of papers citing papers by Neeraj Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neeraj Pradhan

Since Specialization
Citations

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