Pushkar Joshi

34 total papers · 1.1k total citations
22 papers, 812 citations indexed

About

Pushkar Joshi is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pushkar Joshi has authored 22 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 10 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pushkar Joshi's work include 3D Shape Modeling and Analysis (14 papers), Computer Graphics and Visualization Techniques (8 papers) and Advanced Numerical Analysis Techniques (6 papers). Pushkar Joshi is often cited by papers focused on 3D Shape Modeling and Analysis (14 papers), Computer Graphics and Visualization Techniques (8 papers) and Advanced Numerical Analysis Techniques (6 papers). Pushkar Joshi collaborates with scholars based in United States, Poland and Switzerland. Pushkar Joshi's co-authors include Brian Green, Tony DeRose, Mark Meyer, Mathieu Desbrun, Frédéric Pighin, Carlo H. Séquin, Cindy Grimm, Nina Amenta, Nathan Carr and Miklós Bergou and has published in prestigious journals such as The Journal of Physical Chemistry C, ACS Applied Materials & Interfaces and ACM Transactions on Graphics.

In The Last Decade

Pushkar Joshi

22 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Pushkar Joshi	654	484	303	156	43	22	812
Ofir Weber	855 1.3×	629 1.3×	373 1.2×	111 0.7×	18 0.4×	28	1.0k
David R. Forsey	644 1.0×	436 0.9×	267 0.9×	76 0.5×	57 1.3×	20	823
William Welch	649 1.0×	533 1.1×	234 0.8×	200 1.3×	29 0.7×	10	931
Ron Fedkiw	783 1.2×	637 1.3×	185 0.6×	74 0.5×	67 1.6×	19	1.0k
Vitaly Surazhsky	500 0.8×	480 1.0×	283 0.9×	42 0.3×	13 0.3×	14	781
Patrick Mullen	552 0.8×	413 0.9×	138 0.5×	41 0.3×	24 0.6×	17	723
Kwang-Jin Choi	617 0.9×	509 1.1×	243 0.8×	312 2.0×	26 0.6×	26	916
Breannan Smith	497 0.8×	266 0.5×	166 0.5×	191 1.2×	110 2.6×	15	771
Tolga G. Goktekin	564 0.9×	482 1.0×	221 0.7×	110 0.7×	22 0.5×	18	867
Bryan E. Feldman	531 0.8×	593 1.2×	247 0.8×	125 0.8×	17 0.4×	15	787

Countries citing papers authored by Pushkar Joshi

Since Specialization

Citations

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

Fields of papers citing papers by Pushkar Joshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushkar Joshi

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