M. Gopi

1.6k citations
75 papers · 1.1k · h-index 18

Impact in

Papers in

M. Gopi

73 papers receiving 1.1k citations

Peers

M. Gopi
Comparison fields: 5 of 69
  • Computer Graphics and Computer-Aided Design 634
  • Computer Vision and Pattern Recognition 668
  • Computational Mechanics 487
  • Computational Mathematics 12
  • Geology 110
Replace Jason Lawrence with:
Jason Lawrence United States
Jingliang Peng China
Arno Schödl United States
Takafumi Saito Japan
Mathieu Aubry France
Masaki Hilaga Japan
Jon Hasselgren Sweden
Jean‐Charles Bazin South Korea
Adarsh Kowdle United States
M. Gopi relative to Jason Lawrence United States Jason Lawrence's profile →
Citations per field
00.5×1.5×
Jason Lawrence · 1×
Citations per year

Countries citing papers authored by M. Gopi

Since Specialization
Citations

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

Fields of papers citing papers by M. Gopi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Gopi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Gopi Line = papers co-authored together M. Gopi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000156
2 2008142
3 200668
4 200361
5 200943
6 199843
7 201141
8 199937
9 201134
10 200434
11 201224
12 200223
13 201022
14 201122
15 200519
16 200118
17 201817
18 201917
19 200616
20 200516

About M. Gopi

M. Gopi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Media Technology, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (44 papers), Advanced Vision and Imaging (21 papers), 3D Shape Modeling and Analysis (20 papers), Computational Geometry and Mesh Generation (18 papers), Advanced Numerical Analysis Techniques (15 papers), Interactive and Immersive Displays (9 papers), Augmented Reality Applications (8 papers) and Cell Image Analysis Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (634 citations), Computer Vision and Pattern Recognition (668 citations), Computational Mechanics (487 citations), Computational Mathematics (12 citations) and Geology (110 citations). M. Gopi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Shankar Krishnan, Aditi Majumder, Jingliang Peng, C.‐C. Jay Kuo, Yan Huang, Behzad Sajadi, Dinesh Manocha, Renato Pajarola, Henry Fuchs and Damanpreet Singh. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, The Visual Computer, ACM Transactions on Graphics and Science China Information Sciences.

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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