Vashisht Madhavan

12 total papers · 4.1k total citations
3 papers, 1.4k citations indexed

About

Vashisht Madhavan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Vashisht Madhavan has authored 3 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Vashisht Madhavan's work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Vashisht Madhavan is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Vashisht Madhavan collaborates with scholars based in United States and Denmark. Vashisht Madhavan's co-authors include Fangchen Liu, Yingying Chen, Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Trevor Darrell, Kenneth O. Stanley, Felipe Petroski Such and Joel Lehman and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Neural Information Processing Systems.

In The Last Decade

Vashisht Madhavan

3 papers receiving 1.4k citations

Hit Papers

BDD100K: A Diverse Drivin... 2020 2026 2022 2024 2020 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Vashisht Madhavan 1.0k 515 330 106 92 3 1.4k
Haofeng Chen 1.3k 1.2× 530 1.0× 351 1.1× 174 1.6× 115 1.3× 5 1.7k
Wenqi Xian 1.3k 1.2× 461 0.9× 328 1.0× 132 1.2× 90 1.0× 9 1.6k
Di Feng 721 0.7× 322 0.6× 271 0.8× 261 2.5× 79 0.9× 10 1.3k
Fangchen Liu 1.0k 1.0× 481 0.9× 329 1.0× 116 1.1× 91 1.0× 24 1.5k
Patsorn Sangkloy 1.2k 1.1× 306 0.6× 563 1.7× 164 1.5× 43 0.5× 7 1.7k
David Gerónimo 868 0.8× 185 0.4× 266 0.8× 142 1.3× 91 1.0× 11 1.1k
Fabian Timm 680 0.7× 236 0.5× 202 0.6× 189 1.8× 70 0.8× 12 1.2k
Lewei Lu 853 0.8× 324 0.6× 192 0.6× 187 1.8× 66 0.7× 18 1.3k
Alina Kuznetsova 1.3k 1.3× 709 1.4× 100 0.3× 91 0.9× 58 0.6× 12 1.8k
Zehang Sun 1.5k 1.4× 295 0.6× 832 2.5× 127 1.2× 186 2.0× 13 1.9k

Countries citing papers authored by Vashisht Madhavan

Since Specialization
Citations

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

Fields of papers citing papers by Vashisht Madhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vashisht Madhavan

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

All Works

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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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