Jayneel Gandhi
- Hardware and Architecture top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Michael M. SwiftMark D. HillArkaprava BasuJichuan ChangVasileios KarakostasAdrián CristalOsman ÜnsalMario Nemirovsky
- Topics
- Parallel Computing and Optimization Techniques (28 papers)Advanced Data Storage Technologies (24 papers)Cloud Computing and Resource Management (20 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Jayneel Gandhi
30 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 29
- Hardware and Architecture 963
- Computer Networks and Communications 927
- Information Systems 517
- Electrical and Electronic Engineering 144
- Artificial Intelligence 125
Countries citing papers authored by Jayneel Gandhi
This map shows the geographic impact of Jayneel Gandhi'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 Jayneel Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayneel Gandhi more than expected).
Fields of papers citing papers by Jayneel Gandhi
This network shows the impact of papers produced by Jayneel Gandhi. 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 Jayneel Gandhi. The network helps show where Jayneel Gandhi may publish in the future.
Co-authorship network of co-authors of Jayneel Gandhi
This figure shows the co-authorship network connecting the top 25 collaborators of Jayneel Gandhi. A scholar is included among the top collaborators of Jayneel Gandhi 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 Jayneel Gandhi. Jayneel Gandhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 30 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 53 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 40 | |
| 13 | 32 | |
| 14 | 9 | |
| 15 | 131 | |
| 16 | 75 | |
| 17 | 37 | |
| 18 | 41 | |
| 19 | 12 | |
| 20 | FabFetch: A Synthesizable RTL Model of a Pipelined Instruction Fetch Unit for Superscalar Processors. | 2 |
About Jayneel Gandhi
Jayneel Gandhi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (24 papers) and Cloud Computing and Resource Management (20 papers). The work is most often cited by research in Hardware and Architecture (963 citations), Computer Networks and Communications (927 citations) and Information Systems (517 citations). Jayneel Gandhi has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Michael M. Swift, Mark D. Hill, Arkaprava Basu, Jichuan Chang, Vasileios Karakostas, Adrián Cristal, Osman Ünsal, Mario Nemirovsky, Kathryn S. McKinley and Onur Mutlu. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Micro and ACM SIGOPS Operating Systems Review.
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.