Kapil Dev

33 papers receiving 284 citations

Peers

Kapil Dev
Comparison fields: 5 of 48
  • Computer Graphics and Computer-Aided Design 21
  • Hardware and Architecture 32
  • Electrical and Electronic Engineering 156
  • Computer Vision and Pattern Recognition 46
  • Computational Mechanics 40
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Naoya Tate Japan
E.S. Schlig United States
Peixia Zheng Macao
In-Seok Choi South Korea
Michael Krause Germany
Amir Hassanfiroozi Taiwan
Johannes Kulick United States
V. Chan United States
Hyoungsik Nam South Korea
Jason Huang Canada
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Citations per year

Countries citing papers authored by Kapil Dev

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201645
2 200633
3 200333
4 201325
5 200518
6 201717
7 200312
8 200311
9 200311
10 201310
11 20249
12 20158
13 20166
14 20086
15 20166
16 20036
17
Learning a Human-Perceived Softness Measure of Virtual Objects
20165
18 20055
19 20253
20 20113

About Kapil Dev

Kapil Dev is a scholar working on Electrical and Electronic Engineering, Computational Mechanics, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 37 papers that have together received 290 indexed citations. Recurring topics across this work include Semiconductor materials and devices (8 papers), 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Parallel Computing and Optimization Techniques (5 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Visual Attention and Saliency Detection (4 papers) and Surface and Thin Film Phenomena (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (21 citations), Hardware and Architecture (32 citations), Electrical and Electronic Engineering (156 citations), Computer Vision and Pattern Recognition (46 citations) and Computational Mechanics (40 citations). Kapil Dev has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Edmund G. Seebauer, Sherief Reda, Richard D. Braatz, Manfred Lau, Holly Rushmeier, Julie Dorsey, Abdullah Nazma Nowroz, Rudiyanto Gunawan, Adel Belouchrani and Ho Yeung H. Chan. Their work appears in journals such as Surface Science, Physical review. B, Condensed matter, IEEE Computer Graphics and Applications, ACM Transactions on Graphics and Scientific Reports.

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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