Sanjiv Kumar
About
In The Last Decade
Sanjiv Kumar
18 papers receiving 565 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 317
- Artificial Intelligence 267
- Media Technology 85
- Atmospheric Science 37
- Signal Processing 34
Countries citing papers authored by Sanjiv Kumar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Rethinking FID: Towards a Better Evaluation Metric for Image Generation breakdown → | 45 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | A statistical perspective on distillation | 5 |
| 11 | Can gradient clipping mitigate label noise | 28 |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 0 | |
| 15 | Adaptive Methods for Nonconvex Optimization | 102 |
| 16 | Fast Classification with Binary Prototypes | 9 |
| 17 | SVM for learning with label proportions | 50 |
| 18 | Emerging Global Scenario and English Language Teaching in India | 0 |
| 19 | 3 | |
| 20 | 316 |
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.