Anil Krishna
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
Papers in
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- Parallel Computing and Optimization Techniques 7
- Embedded Systems Design Techniques 1
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- Interconnection Networks and Systems 6
- Advanced Data Storage Technologies 5
- Distributed systems and fault tolerance 1
- Co-authors
- Yan SolihinBrian RogersKen VuXiaowei JiangCharlie TaiRen WangChristian MacioccoMartin Rusňák
- Journals
- ACM Transactions on Architecture and Code Optimization (1 paper)International Journal of Community Medicine and Public Health (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United StatesSlovakiaRwanda
In The Last Decade
Anil Krishna
7 papers receiving 349 citations
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 307
- Computer Networks and Communications 316
- Electrical and Electronic Engineering 133
- Information Systems 41
- Software 6
Countries citing papers authored by Anil Krishna
This map shows the geographic impact of Anil Krishna'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 Anil Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Krishna more than expected).
Fields of papers citing papers by Anil Krishna
This network shows the impact of papers produced by Anil Krishna. 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 Anil Krishna. The network helps show where Anil Krishna may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Anil Krishna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2014 | 4 | |
| 3 | 2013 | 70 | |
| 4 | 2012 | 10 | |
| 5 | 2012 | 26 | |
| 6 | 2011 | 7 | |
| 7 | 2009 | 55 | |
| 8 | 2009 | 191 |
About Anil Krishna
Anil Krishna is a scholar working on Hardware and Architecture, Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Physiology and Electrical and Electronic Engineering, having authored 8 papers that have together received 363 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Interconnection Networks and Systems (6 papers), Advanced Data Storage Technologies (5 papers), Low-power high-performance VLSI design (1 paper), Distributed systems and fault tolerance (1 paper), Physical Activity and Health (1 paper), Cardiovascular Health and Risk Factors (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (307 citations), Computer Networks and Communications (316 citations), Electrical and Electronic Engineering (133 citations), Information Systems (41 citations) and Software (6 citations). Anil Krishna has collaborated with scholars based in United States, Slovakia and Rwanda. Frequent co-authors include Yan Solihin, Brian Rogers, Ken Vu, Xiaowei Jiang, Charlie Tai, Ren Wang, Christian Maciocco, Martin Rusňák and Hla Hla Win. Their work appears in journals such as ACM Transactions on Architecture and Code Optimization, International Journal of Community Medicine and Public Health 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.