Ankur Patel

24 total papers · 442 total citations
14 papers, 335 citations indexed

About

Ankur Patel is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Ankur Patel has authored 14 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Molecular Biology and 4 papers in Computational Mechanics. Recurrent topics in Ankur Patel's work include 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Face recognition and analysis (3 papers). Ankur Patel is often cited by papers focused on 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Face recognition and analysis (3 papers). Ankur Patel collaborates with scholars based in United States, United Kingdom and India. Ankur Patel's co-authors include William A. P. Smith, Steven S. Zalcman, Allan Siegel, James D. Lindsey, Robert N. Weinreb, Mila Angert, Won‐Kyu Ju, Youhua Zhu, Keunyoung Kim and Mark H. Ellisman and has published in prestigious journals such as PLoS ONE, Pattern Recognition and Brain Behavior and Immunity.

In The Last Decade

Ankur Patel

14 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Ankur Patel 107 84 54 52 41 14 335
Zheen Zhao 12 0.1× 61 0.7× 76 1.4× 19 0.4× 18 0.4× 15 388
Jason Clarke 42 0.4× 22 0.3× 8 0.1× 15 0.3× 3 0.1× 23 315
Liang Li 72 0.7× 20 0.2× 3 0.1× 34 0.7× 30 391
Maya Yablonski 53 0.5× 12 0.1× 4 0.1× 53 1.0× 19 380
Susan N. Wright 34 0.3× 15 0.2× 1 0.0× 29 0.6× 5 0.1× 18 374
Richard Joules 21 0.2× 73 0.9× 3 0.1× 25 0.5× 10 403
Marek Kubicki 54 0.5× 7 0.1× 3 0.1× 22 0.4× 3 0.1× 9 385
Michael Y. Bai 11 0.1× 25 0.3× 5 0.1× 25 0.5× 16 370
Paul Dickens 94 0.9× 40 0.5× 12 0.2× 6 0.1× 23 396
Jinghui Tong 52 0.5× 100 1.2× 127 2.4× 39 343

Countries citing papers authored by Ankur Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Patel

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