Varun Jain

859 citations
27 papers · 434 · h-index 8

Impact in

Papers in

Varun Jain

21 papers receiving 410 citations

Peers

Varun Jain
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 107
  • Computational Mechanics 278
  • Computer Vision and Pattern Recognition 214
  • Signal Processing 36
  • Geology 18
Replace Chanderjit L. Bajaj with:
Chanderjit L. Bajaj United States
Géraldine Morin France
Evan C. Sherbrooke United States
Philip Willis United Kingdom
Meie Fang China
Henry Johan Singapore
Ioannis Ivrissimtzis United Kingdom
A. David Marshall United Kingdom
Zachi Karni Israel
S. Coorg United States
Varun Jain relative to Chanderjit L. Bajaj United States Chanderjit L. Bajaj's profile →
Citations per field
00.5×7.2×
Chanderjit L. Bajaj · 1×
Citations per year

Countries citing papers authored by Varun Jain

Since Specialization
Citations

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

Fields of papers citing papers by Varun Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Varun Jain, 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 Varun Jain Line = papers co-authored together Varun Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 2006101
3 200775
4 201225
5 201224
6 201123
7 202121
8 200618
9 20186
10 20115
11 20214
12 20173
13 20223
14 20152
15 20132
16 20112
17 20242
18 20161
19 20121
20 20161

About Varun Jain

Varun Jain is a scholar working on Applied Mathematics, Geometry and Topology, Computational Mechanics, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, having authored 27 papers that have together received 434 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (9 papers), Geometry and complex manifolds (8 papers), Advanced Differential Geometry Research (4 papers), Sparse and Compressive Sensing Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Geometric and Algebraic Topology (3 papers), Cosmology and Gravitation Theories (2 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (107 citations), Computational Mechanics (278 citations), Computer Vision and Pattern Recognition (214 citations), Signal Processing (36 citations) and Geology (18 citations). Varun Jain has collaborated with scholars based in India, Benin and United States. Frequent co-authors include Hao Zhang, Oliver van Kaick, Eric Rebeiz, Danijela Čabrić, S.C. Mullick, Tara C. Kandpal, Varun Aggarwal, Déborah Cohen, Dinesh Kumar Vishwakarma and Uǧur Çam. Their work appears in journals such as International Journal of Geometric Methods in Modern Physics, Operations Research for Health Care, Energy Sustainable Development, Computer-Aided Design and Mediterranean Journal of Mathematics.

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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