Purushottam Kar

2.1k total citations
32 papers, 1.0k citations indexed

About

Purushottam Kar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Purushottam Kar has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. Recurrent topics in Purushottam Kar's work include Machine Learning and Algorithms (12 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Data Classification (6 papers). Purushottam Kar is often cited by papers focused on Machine Learning and Algorithms (12 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Data Classification (6 papers). Purushottam Kar collaborates with scholars based in India, United States and United Kingdom. Purushottam Kar's co-authors include Prateek Jain, Inderjit S. Dhillon, Hsiang‐Fu Yu, Kush Bhatia, Prateek Jain, Manik Varma, Himanshu Jain, Harish Karnick, Prateek Jain and Harikrishna Narasimhan and has published in prestigious journals such as Communications of the ACM, Machine Learning and Atmospheric measurement techniques.

In The Last Decade

Purushottam Kar

29 papers receiving 982 citations

Peers

Purushottam Kar

AI

CVPR

IS

CM

SP

Ata Kabán United Kingdom

Dorina Thanou Switzerland

S. Vempala United States

S. Sundararajan India

Ding Zhou China

Ludwig Schmidt United States

Rohan Varma United States

Shalev-ShwartzShai

Daniel Dunlavy United States

Tamir Hazan Israel

Ata Kabán United Kingdom

Purushottam Kar

707 ×1.1

AI

322 ×1.0

CVPR

101 ×0.7

IS

92 ×0.6

CM

198 ×2.2

SP

Citations per year, relative to Purushottam Kar Purushottam Kar (= 1×) peers Ata Kabán

Countries citing papers authored by Purushottam Kar

Since Specialization

Citations

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

Fields of papers citing papers by Purushottam Kar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Purushottam Kar

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

All Works

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20 of 20 papers shown

1.

Kar, Purushottam, et al.. (2024). Multiforecast-based Early Anomaly Detection for Spacecraft Health Monitoring. 275–283.

2.

Shukla, Ashutosh, et al.. (2024). Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment. 192–201.

3.

Karkare, Amey, et al.. (2023). Advances in Automated Pedagogical Compile-time Error Repair. 1–11. 2 indexed citations

4.

Kar, Purushottam, et al.. (2023). Personalized Retrieval over Millions of Items. 1014–1022. 1 indexed citations

5.

Dahiya, Kunal, Sachin Yadav, S. L. Sondhi, et al.. (2023). Deep Encoders with Auxiliary Parameters for Extreme Classification. 358–367. 3 indexed citations

6.

Mittal, Anshul, Kunal Dahiya, Jitendra Ajmera, et al.. (2022). Multi-modal Extreme Classification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8 indexed citations

7.

Sahu, Ravi, Kuldeep Dixit, Srijith K. Nair, et al.. (2021). Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O ₃ and NO ₂ concentrations in diverse environments. Atmospheric measurement techniques. 14(1). 37–52. 28 indexed citations

8.

Dahiya, Kunal, Jian Jiao, Amit Singh, et al.. (2021). SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. International Conference on Machine Learning. 2330–2340. 9 indexed citations

9.

Kapoor, Sayash, Kumar Kshitij Patel, & Purushottam Kar. (2018). Corruption-tolerant bandit learning. Machine Learning. 108(4). 687–715. 15 indexed citations

10.

Bhatia, Kush, Prateek Jain, Parameswaran Kamalaruban, & Purushottam Kar. (2017). Consistent Robust Regression. Neural Information Processing Systems. 30. 2110–2119. 15 indexed citations

11.

Narasimhan, Harikrishna, Shuai Li, Purushottam Kar, Sanjay Chawla, & Fabrizio Sebastiani. (2016). Stochastic Optimization Techniques for Quantification Performance Measures. 4 indexed citations

12.

Narasimhan, Harikrishna, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, & Harish G. Ramaswamy. (2016). Optimizing the Multiclass F-Measure via Biconcave Programming. 1101–1106. 19 indexed citations

13.

Bhatia, Kush, Himanshu Jain, Purushottam Kar, Manik Varma, & Prateek Jain. (2015). Sparse local embeddings for extreme multi-label classification. Neural Information Processing Systems. 28. 730–738. 176 indexed citations

14.

Bhatia, Kush, Prateek Jain, & Purushottam Kar. (2015). Robust Regression via Hard Thresholding. arXiv (Cornell University). 28. 721–729. 28 indexed citations

15.

Kar, Purushottam, Bharath K. Sriperumbudur, Prateek Jain, & Harish Karnick. (2013). On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. arXiv (Cornell University). 28. 441–449. 17 indexed citations

16.

Kar, Purushottam & Harish Karnick. (2012). Random Feature Maps for Dot Product Kernels. International Conference on Artificial Intelligence and Statistics. 583–591. 48 indexed citations

17.

Kar, Purushottam & Prateek Jain. (2012). Supervised Learning with Similarity Functions. arXiv (Cornell University). 25. 215–223. 5 indexed citations

18.

Kar, Purushottam & Prateek Jain. (2011). Similarity-based Learning via Data Driven Embeddings. arXiv (Cornell University). 24. 1998–2006. 13 indexed citations

19.

Kar, Purushottam, et al.. (2010). Random Projection Trees Revisited. Neural Information Processing Systems. 23. 496–504. 4 indexed citations

20.

Huang, Po‐Ssu & Purushottam Kar. (2002). An autonomous optimal weapon assignment algorithm for ship self defense. 3. 2544–2549. 1 indexed citations

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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