Jayesh Gaur

514 citations
23 papers · 382 · h-index 11

Impact in

Papers in

Jayesh Gaur

23 papers receiving 371 citations

Peers

Jayesh Gaur
Comparison fields: 5 of 25
  • Hardware and Architecture 332
  • Computer Networks and Communications 303
  • Information Systems 88
  • Electrical and Electronic Engineering 90
  • Computer Vision and Pattern Recognition 29
Replace Gunjae Koo with:
Gunjae Koo South Korea
Martin Dimitrov United States
Xiaolong Xie China
Jagadish Kotra United States
Akshay Venkatesh United States
Yingying Tian United States
Veynu Narasiman United States
Grant Ayers United States
Yizheng Jiao United States
Cedric Nugteren Netherlands
Jayesh Gaur relative to Gunjae Koo South Korea Gunjae Koo's profile →
Citations per field
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Gunjae Koo · 1×
Citations per year

Countries citing papers authored by Jayesh Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Jayesh Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201183
2 201250
3 201838
4 201137
5 201823
6 201621
7 201321
8 202118
9 202115
10 201613
11 201911
12 20178
13 20197
14 20207
15 20226
16 20175
17 20205
18 20174
19 20193
20 20073

About Jayesh Gaur

Jayesh Gaur is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 23 papers that have together received 382 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Advanced Data Storage Technologies (15 papers), Interconnection Networks and Systems (6 papers), Cloud Computing and Resource Management (4 papers), Embedded Systems Design Techniques (3 papers), Distributed systems and fault tolerance (2 papers), Radiation Effects in Electronics (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Hardware and Architecture (332 citations), Computer Networks and Communications (303 citations), Information Systems (88 citations), Electrical and Electronic Engineering (90 citations) and Computer Vision and Pattern Recognition (29 citations). Jayesh Gaur has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sreenivas Subramoney, Mainak Chaudhuri, Alaa R. Alameldeen, Huichu Liu, Hong Wang, Steven Swanson, Tony Nowatzki, Jason Lowe-Power, Tanay Karnik and Jian Weng. Their work appears in journals such as ACM Transactions on Architecture and Code Optimization, Proceedings - ACM IEEE Design Automation Conference and ACM SIGARCH Computer Architecture News.

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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