Manohar K. Prabhu
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques 8
- Embedded Systems Design Techniques 5
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- Distributed systems and fault tolerance 2
- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 2
- Interconnection Networks and Systems 2
- Information Systems top 10%
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- Numerical Methods and Algorithms 2
- Co-authors
- Kunle OlukotunLance HammondChristos KozyrakisVicky WongBen HertzbergBrian D. CarlstromJohn D. DavisMike Y. Chen
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsExperimental and Cognitive Psychology
- Journals
- ACM SIGPLAN Notices (1 paper)IEEE Micro (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United States
In The Last Decade
Manohar K. Prabhu
8 papers receiving 958 citations
Hit Papers
Peers
Comparison fields: 5 of 24
- Hardware and Architecture 909
- Computer Networks and Communications 970
- Experimental and Cognitive Psychology 105
- Software 14
- Information Systems 65
Countries citing papers authored by Manohar K. Prabhu
This map shows the geographic impact of Manohar K. Prabhu'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 Manohar K. Prabhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manohar K. Prabhu more than expected).
Fields of papers citing papers by Manohar K. Prabhu
This network shows the impact of papers produced by Manohar K. Prabhu. 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 Manohar K. Prabhu. The network helps show where Manohar K. Prabhu may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Manohar K. Prabhu, 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 | 2005 | 79 | |
| 2 | Parallel Programming Using Thread-Level Speculation | 2005 | 1 |
| 3 | 2004 | 186 | |
| 4 | Transactional Memory Coherence and Consistencybreakdown → | 2004 | 447 |
| 5 | 2003 | 4 | |
| 6 | 2003 | 4 | |
| 7 | 2003 | 70 | |
| 8 | 2000 | 239 |
About Manohar K. Prabhu
Manohar K. Prabhu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (5 papers), Distributed systems and fault tolerance (2 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (2 papers), Interconnection Networks and Systems (2 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (909 citations), Computer Networks and Communications (970 citations) and Experimental and Cognitive Psychology (105 citations). Manohar K. Prabhu has collaborated with scholars based in United States. Frequent co-authors include Kunle Olukotun, Lance Hammond, Christos Kozyrakis, Vicky Wong, Ben Hertzberg, Brian D. Carlstrom, John D. Davis, Mike Y. Chen and M. Stewart Siu. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Micro 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.