K. Vaidyanathan

656 citations
34 papers · 365 · h-index 13

Impact in

Papers in

K. Vaidyanathan

33 papers receiving 336 citations

Peers

K. Vaidyanathan
Comparison fields: 5 of 37
  • Computer Graphics and Computer-Aided Design 122
  • Hardware and Architecture 90
  • Computer Vision and Pattern Recognition 185
  • Computer Networks and Communications 161
  • Computational Mathematics 2
Replace Kyusik Chung with:
Kyusik Chung South Korea
James Hegarty United States
Héctor M. Briceño France
Reid Gershbein United States
Jeff Pool United States
Juheon Yi South Korea
Jim Lawson United States
Joan-Manuel Parcerisa Spain
Polychronis Xekalakis United Kingdom
Otto J. Anshus Norway
K. Vaidyanathan relative to Kyusik Chung South Korea Kyusik Chung's profile →
Citations per field
00.5×7.5×
Kyusik Chung · 1×
Citations per year

Countries citing papers authored by K. Vaidyanathan

Since Specialization
Citations

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

Fields of papers citing papers by K. Vaidyanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200445
2 201434
3 200723
4 201421
5 200721
6 202019
7 201418
8 200717
9
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
201815
10 201515
11 201214
12 202214
13 201814
14 201612
15 200511
16 202311
17 20069
18 20058
19 20167
20 20056

About K. Vaidyanathan

K. Vaidyanathan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Hardware and Architecture and Information Systems, having authored 34 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (10 papers), Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (9 papers), Parallel Computing and Optimization Techniques (8 papers), Cloud Computing and Resource Management (7 papers), Caching and Content Delivery (6 papers), Interconnection Networks and Systems (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (122 citations), Hardware and Architecture (90 citations), Computer Vision and Pattern Recognition (185 citations), Computer Networks and Communications (161 citations) and Computational Mathematics (2 citations). K. Vaidyanathan has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Dhabaleswar K. Panda, Marco Salvi, S. Narravula, Pavan Balaji, Tomas Akenine‐Möller, Jacob Munkberg, Wei Huang, Petrik Clarberg, Hyun‐Wook Jin and Jiesheng Wu. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Parallel and Distributed Systems, Computer Graphics Forum, Proceedings of the ACM on Computer Graphics and Interactive Techniques and arXiv (Cornell University).

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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