David Keppel
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
Papers in
-
- Parallel Computing and Optimization Techniques 7
- Embedded Systems Design Techniques 4
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- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
- Software System Performance and Reliability 2
- Distributed systems and fault tolerance 1
- Co-authors
- Susan J. Eggers (3 shared papers)Henry M. Levy (2 shared papers)Henry Spencer (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (2 papers)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David Keppel
9 papers receiving 645 citations
David Keppel's Hit Papers
Peers
Comparison fields: 5 of 32
- Hardware and Architecture 651
- Computer Networks and Communications 470
- Software 77
- Artificial Intelligence 142
- Signal Processing 46
Countries citing papers authored by David Keppel
This map shows the geographic impact of David Keppel'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 David Keppel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Keppel more than expected).
Fields of papers citing papers by David Keppel
This network shows the impact of papers produced by David Keppel. 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 David Keppel. The network helps show where David Keppel may publish in the future.
Co-authors
The 3 scholars most cited alongside David Keppel, 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 | Shade: a fast instruction-set simulator for execution profiling Hit paper breakdown → | 1994 | 494 |
| 2 | 1990 | 102 | |
| 3 | 1994 | 93 | |
| 4 | 1991 | 25 | |
| 5 | Runtime code generation | 1996 | 9 |
| 6 | Recommended C Style and Coding Standards | 1992 | 8 |
| 7 | 1990 | 3 | |
| 8 | Notes On Writing Portable Programs In C | 1994 | 1 |
| 9 | 1991 | 1 |
About David Keppel
David Keppel is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 9 papers that have together received 736 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (2 papers), Software System Performance and Reliability (2 papers), Computability, Logic, AI Algorithms (1 paper), Distributed systems and fault tolerance (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (651 citations), Computer Networks and Communications (470 citations), Software (77 citations), Artificial Intelligence (142 citations) and Signal Processing (46 citations). David Keppel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Susan J. Eggers, Henry M. Levy and Henry Spencer. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review 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.