Neeraj Kumar

61 total papers · 1.5k total citations
31 papers, 692 citations indexed

About

Neeraj Kumar is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Neeraj Kumar has authored 31 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Neeraj Kumar's work include Energy Load and Power Forecasting (10 papers), Electric Power System Optimization (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Neeraj Kumar is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Electric Power System Optimization (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Neeraj Kumar collaborates with scholars based in India, United States and Saudi Arabia. Neeraj Kumar's co-authors include Peter N. Belhumeur, David W. Jacobs, David Kriegman, Dmitri Bitouk, Shree K. Nayar, M. M. Tripathi, Steve Seitz, Arnav Wadhwa, K. Sudha and Sakshi Mishra and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Graphics and Sustainability.

In The Last Decade

Neeraj Kumar

28 papers receiving 668 citations

Hit Papers

Localizing parts of faces... 2011 2026 2016 2021 2011 100 200 300

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 541 151 76 59 44 31 692
Antonio Albiol 449 0.8× 97 0.6× 40 0.5× 93 1.6× 37 0.8× 38 593
Chung-Lin Huang 496 0.9× 144 1.0× 25 0.3× 79 1.3× 16 0.4× 29 567
Eng-Jon Ong 396 0.7× 175 1.2× 41 0.5× 61 1.0× 24 0.5× 41 682
Yunfan Liu 555 1.0× 64 0.4× 26 0.3× 163 2.8× 21 0.5× 37 762
David S. Bolme 492 0.9× 250 1.7× 33 0.4× 51 0.9× 12 0.3× 25 584
José M. Buenaposada 515 1.0× 102 0.7× 22 0.3× 58 1.0× 32 0.7× 31 617
Dong Zhang 297 0.5× 49 0.3× 68 0.9× 55 0.9× 45 1.0× 49 647
Maurício Pamplona Segundo 497 0.9× 216 1.4× 16 0.2× 50 0.8× 42 1.0× 29 653
Xiaoming Chen 480 0.9× 103 0.7× 41 0.5× 27 0.5× 15 0.3× 63 645
Jianyi Wang 465 0.9× 76 0.5× 28 0.4× 64 1.1× 15 0.3× 24 623

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