Sanjiv Kumar

65 total papers · 1.4k total citations
21 papers, 587 citations indexed

About

Sanjiv Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Small Animals. According to data from OpenAlex, Sanjiv Kumar has authored 21 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Small Animals. Recurrent topics in Sanjiv Kumar's work include Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Sanjiv Kumar is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Sanjiv Kumar collaborates with scholars based in United States, India and Australia. Sanjiv Kumar's co-authors include Sashank J. Reddi, Manzil Zaheer, Satyen Kale, Devendra Singh Sachan, Felix X. Yu, Shih‐Fu Chang, Dong Liu, Tony Jebara, Ankit Singh Rawat and Aditya Krishna Menon and has published in prestigious journals such as Avian Pathology, Tropical Animal Health and Production and Indian Journal of Community Medicine.

In The Last Decade

Sanjiv Kumar

16 papers receiving 557 citations

Hit Papers

Rethinking FID: Towards a... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Sanjiv Kumar 315 264 85 37 34 21 587
Wei Huang 261 0.8× 205 0.8× 124 1.5× 24 0.6× 18 0.5× 18 560
Dilin Wang 384 1.2× 258 1.0× 70 0.8× 18 0.5× 34 1.0× 21 591
Anum Mehmood 306 1.0× 145 0.5× 93 1.1× 38 1.0× 59 1.7× 24 665
Makarand Velankar 433 1.4× 130 0.5× 85 1.0× 21 0.6× 51 1.5× 21 575
K.C. Chou 275 0.9× 207 0.8× 81 1.0× 44 1.2× 79 2.3× 24 601
Muzammal Naseer 381 1.2× 345 1.3× 82 1.0× 14 0.4× 69 2.0× 34 663
Qi Mao 506 1.6× 133 0.5× 62 0.7× 50 1.4× 54 1.6× 23 688
Xiaolong Jiang 510 1.6× 259 1.0× 66 0.8× 12 0.3× 18 0.5× 29 639
Stéphane Derrode 305 1.0× 201 0.8× 170 2.0× 48 1.3× 78 2.3× 42 663
Delong Chen 179 0.6× 110 0.4× 80 0.9× 26 0.7× 33 1.0× 25 500

Countries citing papers authored by Sanjiv Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjiv Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjiv Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjiv Kumar. A scholar is included among the top collaborators of Sanjiv 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 Sanjiv Kumar. Sanjiv 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