Neeraj Pradhan

9 total papers · 844 total citations
5 papers, 18 citations indexed

About

Neeraj Pradhan is a scholar working on Information Systems, Management Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Neeraj Pradhan has authored 5 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 1 paper in Management Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Neeraj Pradhan's work include Recommender Systems and Techniques (2 papers), Data Mining Algorithms and Applications (2 papers) and Web Data Mining and Analysis (1 paper). Neeraj Pradhan is often cited by papers focused on Recommender Systems and Techniques (2 papers), Data Mining Algorithms and Applications (2 papers) and Web Data Mining and Analysis (1 paper). Neeraj Pradhan collaborates with scholars based in United States and Israel. Neeraj Pradhan's co-authors include Vinay Deolalikar, Kang Li, Kang Li, Noah D. Goodman, Eli Bingham, Alexander M. Rush, Martin Jankowiak, Fritz Obermeyer and Justin Chiu and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Neeraj Pradhan

5 papers receiving 18 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neeraj Pradhan 7 6 4 4 4 5 18
Anura Gurugé 15 2.1× 5 0.8× 5 1.3× 6 1.5× 1 0.3× 2 19
Y. F. Wang 12 1.7× 4 0.7× 5 1.3× 4 1.0× 3 20
Haijun Yang 13 1.9× 5 0.8× 2 0.5× 5 1.3× 2 16
Elvis C. Foster 4 0.6× 4 0.7× 5 1.3× 4 1.0× 1 0.3× 5 20
Sébastien Iksal 6 0.9× 9 1.5× 2 0.5× 2 0.5× 4 27
Edson Mello Lucas 9 1.3× 3 0.5× 5 1.3× 2 0.5× 5 33
Víctor Mayoral Vilches 4 0.6× 5 0.8× 8 2.0× 2 0.5× 4 18
Yunfan Gao 7 1.0× 7 1.2× 6 1.5× 1 0.3× 5 25
O. Estrada Pastor 13 1.9× 6 1.0× 4 1.0× 9 2.3× 1 0.3× 6 23
Benjamin Paul Chamberlain 4 0.6× 5 0.8× 6 1.5× 2 0.5× 4 18

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).

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.

Co-authorship network of co-authors of Neeraj Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Pradhan. A scholar is included among the top collaborators of Neeraj Pradhan 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 Neeraj Pradhan. Neeraj Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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