Anurag Ranjan

56 total papers · 3.8k total citations
21 papers, 1.5k citations indexed

About

Anurag Ranjan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Anurag Ranjan has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Anurag Ranjan's work include Advanced Vision and Imaging (7 papers), Face recognition and analysis (5 papers) and Advanced Neural Network Applications (4 papers). Anurag Ranjan is often cited by papers focused on Advanced Vision and Imaging (7 papers), Face recognition and analysis (5 papers) and Advanced Neural Network Applications (4 papers). Anurag Ranjan collaborates with scholars based in Canada, Germany and United States. Anurag Ranjan's co-authors include Michael J. Black, Oncel Tuzel, James Gabriel, Jeff Zhu, Pavan Kumar Anasosalu Vasu, Siyu Tang, Sergi Pujades, Gerard Pons‐Moll, Qianli Ma and Jinlong Yang and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Anurag Ranjan

21 papers receiving 1.4k citations

Hit Papers

Optical Flow Estimation U... 2017 2026 2020 2023 2017 2020 2023 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Anurag Ranjan 1.2k 253 173 158 152 21 1.5k
M.J. Black 1.5k 1.3× 186 0.7× 413 2.4× 193 1.2× 86 0.6× 16 1.8k
Yueqi Duan 920 0.8× 251 1.0× 91 0.5× 228 1.4× 93 0.6× 49 1.3k
Song Chun Zhu 1.3k 1.1× 144 0.6× 316 1.8× 251 1.6× 130 0.9× 46 1.6k
Tali Dekel 1.1k 0.9× 173 0.7× 113 0.7× 285 1.8× 244 1.6× 32 1.6k
Haibin Huang 997 0.8× 150 0.6× 255 1.5× 110 0.7× 166 1.1× 46 1.4k
Hamid Rezatofighi 740 0.6× 271 1.1× 59 0.3× 252 1.6× 148 1.0× 41 1.2k
Ardeshir Goshtasby 1.2k 1.0× 158 0.6× 303 1.8× 94 0.6× 94 0.6× 34 1.8k
Jean‐Charles Bazin 1.1k 0.9× 226 0.9× 185 1.1× 108 0.7× 91 0.6× 69 1.5k
B. Horowitz 1.1k 0.9× 91 0.4× 71 0.4× 85 0.5× 60 0.4× 16 1.3k
Jiahao Pang 847 0.7× 218 0.9× 211 1.2× 160 1.0× 87 0.6× 44 1.1k

Countries citing papers authored by Anurag Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Ranjan

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

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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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