Neeraj Kumar

61 total papers · 1.9k total citations
27 papers, 953 citations indexed

About

Neeraj Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Neeraj Kumar has authored 27 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Neeraj Kumar's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Image Processing Techniques (8 papers). Neeraj Kumar is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Image Processing Techniques (8 papers). Neeraj Kumar collaborates with scholars based in India, United States and Canada. Neeraj Kumar's co-authors include Amit Sethi, Ruchika Verma, Abhishek Vahadane, Peter H. Gann, Swapnil Rane, Deepak Anand, Ryan Deaton, Virgilia Macias, Ashish Arora and Abhay Kumar and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Neeraj Kumar

26 papers receiving 929 citations

Hit Papers

A Dataset and a Technique... 2017 2026 2020 2023 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Neeraj Kumar 643 543 389 187 127 27 953
Ruchika Verma 573 0.9× 459 0.8× 489 1.3× 158 0.8× 82 0.6× 30 1.0k
Le Hou 786 1.2× 476 0.9× 486 1.2× 162 0.9× 85 0.7× 27 1.2k
Çiğdem Gündüz-Demir 580 0.9× 541 1.0× 283 0.7× 186 1.0× 105 0.8× 36 899
Changhao Sun 626 1.0× 404 0.7× 414 1.1× 96 0.5× 118 0.9× 23 1.0k
Dimitris Samaras 677 1.1× 417 0.8× 425 1.1× 140 0.7× 46 0.4× 28 1.0k
Olcay Sertel 881 1.4× 638 1.2× 345 0.9× 287 1.5× 56 0.4× 26 1.2k
Fujun Liu 432 0.7× 298 0.5× 245 0.6× 147 0.8× 66 0.5× 21 862
Philipp Kainz 597 0.9× 398 0.7× 395 1.0× 148 0.8× 45 0.4× 17 1.1k
Simon Graham 756 1.2× 385 0.7× 582 1.5× 153 0.8× 40 0.3× 28 1.0k
Jiawen Yao 571 0.9× 423 0.8× 529 1.4× 71 0.4× 62 0.5× 38 1.2k

Countries citing papers authored by Neeraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Kumar

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

All Works

Loading papers...

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
2026