Jatin Chhugani
- Computer Networks and Communications top 0.5%
- Hardware and Architecture top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Co-authors
- Pradeep DubeyNadathur SatishChangkyu KimAnthony D. NguyenVictor W. LeeDaehyun KimMikhail SmelyanskiyMichael Deisher
- Topics
- Parallel Computing and Optimization Techniques (18 papers)Advanced Data Storage Technologies (16 papers)Distributed and Parallel Computing Systems (7 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jatin Chhugani
39 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Networks and Communications 1.7k
- Hardware and Architecture 1.3k
- Computer Vision and Pattern Recognition 721
- Artificial Intelligence 644
- Information Systems 483
Countries citing papers authored by Jatin Chhugani
This map shows the geographic impact of Jatin Chhugani'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 Jatin Chhugani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jatin Chhugani more than expected).
Fields of papers citing papers by Jatin Chhugani
This network shows the impact of papers produced by Jatin Chhugani. 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 Jatin Chhugani. The network helps show where Jatin Chhugani may publish in the future.
Co-authorship network of co-authors of Jatin Chhugani
This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Chhugani. A scholar is included among the top collaborators of Jatin Chhugani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jatin Chhugani. Jatin Chhugani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | Closing the Ninja Performance Gap through Traditional Programming and Compiler Technology | 13 |
| 3 | 4 | |
| 4 | 52 | |
| 5 | 22 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 85 | |
| 9 | 74 | |
| 10 | 197 | |
| 11 | 216 | |
| 12 | Debunking the 100X GPU vs. CPU mythbreakdown → | 452 |
| 13 | 62 | |
| 14 | 20 | |
| 15 | 171 | |
| 16 | 115 | |
| 17 | 13 | |
| 18 | 13 | |
| 19 | 12 | |
| 20 | 2 |
About Jatin Chhugani
Jatin Chhugani is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 39 papers that have together received 3.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computer Networks and Communications (1.7k citations) and Computer Graphics and Computer-Aided Design (148 citations). Jatin Chhugani has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Pradeep Dubey, Nadathur Satish, Changkyu Kim, Anthony D. Nguyen, Victor W. Lee, Daehyun Kim, Mikhail Smelyanskiy, Michael Deisher, Ronak Singhal and Per Hammarlund. Their work appears in journals such as Proceedings of the IEEE, Communications of the ACM and Computer.
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.