Nikhila Ravi

26 total papers · 9.6k total citations
9 papers, 4.3k citations indexed

About

Nikhila Ravi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Nikhila Ravi has authored 9 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Nikhila Ravi's work include Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Vision and Imaging (2 papers). Nikhila Ravi is often cited by papers focused on Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Vision and Imaging (2 papers). Nikhila Ravi collaborates with scholars based in United States, Israel and India. Nikhila Ravi's co-authors include Alexander C. Berg, Ross Girshick, Wan‐Yen Lo, Laura Gustafson, Eric Mintun, Alexander M. Kirillov, Spencer Whitehead, Hanzi Mao, Piotr Dollár and Tete Xiao and has published in prestigious journals such as Indian Journal of Medical Microbiology, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Nikhila Ravi

9 papers receiving 4.2k citations

Hit Papers

Segment Anything 2020 2026 2022 2024 2023 2020 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Nikhila Ravi 2.3k 935 405 393 368 9 4.3k
Tete Xiao 2.6k 1.2× 1.2k 1.3× 416 1.0× 466 1.2× 391 1.1× 9 5.0k
Wan‐Yen Lo 1.9k 0.9× 869 0.9× 318 0.8× 420 1.1× 357 1.0× 6 3.9k
Spencer Whitehead 1.9k 0.8× 973 1.0× 315 0.8× 385 1.0× 362 1.0× 12 3.9k
Eric Mintun 1.8k 0.8× 859 0.9× 314 0.8× 383 1.0× 356 1.0× 7 3.9k
Laura Gustafson 1.9k 0.8× 882 0.9× 315 0.8× 384 1.0× 359 1.0× 4 3.8k
W.J. Rucklidge 2.6k 1.1× 582 0.6× 540 1.3× 228 0.6× 566 1.5× 17 4.0k
Georgia Gkioxari 3.2k 1.4× 1.2k 1.3× 505 1.2× 341 0.9× 342 0.9× 27 4.8k
Yossi Rubner 2.7k 1.2× 994 1.1× 252 0.6× 365 0.9× 160 0.4× 13 4.6k
Vincent Dumoulin 2.1k 0.9× 1.5k 1.6× 175 0.4× 435 1.1× 373 1.0× 15 4.7k
Edward Z. Yang 2.9k 1.3× 2.5k 2.6× 265 0.7× 395 1.0× 395 1.1× 10 5.9k

Countries citing papers authored by Nikhila Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Nikhila Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhila Ravi

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