David Keppel

960 total citations · 1 hit paper
9 papers, 736 citations indexed

About

David Keppel is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, David Keppel has authored 9 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 7 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in David Keppel's work include Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (4 papers) and Distributed and Parallel Computing Systems (3 papers). David Keppel is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (4 papers) and Distributed and Parallel Computing Systems (3 papers). David Keppel collaborates with scholars based in United States and United Kingdom. David Keppel's co-authors include Susan J. Eggers, Henry M. Levy and Henry Spencer and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review and ACM SIGARCH Computer Architecture News.

In The Last Decade

David Keppel

9 papers receiving 645 citations

Hit Papers

Shade: a fast instruction-set simulator for execution pro... 1994 2026 2004 2015 1994 100 200 300 400

Peers

David Keppel
Comparison fields: 5 of 32
  • Hardware and Architecture 651
  • Computer Networks and Communications 470
  • Artificial Intelligence 142
  • Electrical and Electronic Engineering 125
  • Information Systems 80
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Citations per field, relative to David Keppel
David Keppel · 1×
Citations per year, relative to David Keppel
David Keppel · 1×

Countries citing papers authored by David Keppel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Keppel

This figure shows the co-authorship network connecting the top 25 collaborators of David Keppel. A scholar is included among the top collaborators of David Keppel 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 David Keppel. David Keppel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1
Runtime code generation
9
2
Shade: a fast instruction-set simulator for execution profiling breakdown →
494
3
Notes On Writing Portable Programs In C
1
4 93
5
Recommended C Style and Coding Standards
8
6 1
7 25
8 3
9 102

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.

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