Russell M. Clapp

476 total citations
16 papers, 343 citations indexed

About

Russell M. Clapp is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Russell M. Clapp has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in Russell M. Clapp's work include Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (6 papers) and Advanced Data Storage Technologies (5 papers). Russell M. Clapp is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (6 papers) and Advanced Data Storage Technologies (5 papers). Russell M. Clapp collaborates with scholars based in United States, Germany and United Kingdom. Russell M. Clapp's co-authors include Tom Lovett, Trevor Mudge, Richard A. Volz, Karthik Kumar, Jian Chen, Martin Dimitrov, Thomas Willhalm, Jian Chen, Vijay Janapa Reddi and Raphael Volz and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Parallel and Distributed Systems and ACM SIGPLAN Notices.

In The Last Decade

Russell M. Clapp

15 papers receiving 309 citations

Peers

Russell M. Clapp
Elana D. Granston United States
Rafael H. Saavedra United States
Dan Teodosiu United States
Jesse Fang United States
David Maze United States
Ioannis Schoinas United States
Andrew A. Lamb United States
Rabin A. Sugumar United States
Jasper Lin United States
Jeremy Wong United States
Elana D. Granston United States
Russell M. Clapp
Citations per year, relative to Russell M. Clapp Russell M. Clapp (= 1×) peers Elana D. Granston

Countries citing papers authored by Russell M. Clapp

Since Specialization
Citations

This map shows the geographic impact of Russell M. Clapp'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 Russell M. Clapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russell M. Clapp more than expected).

Fields of papers citing papers by Russell M. Clapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell M. Clapp. 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 Russell M. Clapp. The network helps show where Russell M. Clapp may publish in the future.

Co-authorship network of co-authors of Russell M. Clapp

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

All Works

16 of 16 papers shown
1.
Clapp, Russell M., et al.. (2018). Amdahl's Law in Big Data Analytics: Alive and Kicking in TPCx-BB (BigBench). 630–642. 8 indexed citations
2.
Chen, Jian & Russell M. Clapp. (2017). Astro: Auto-Generation of Synthetic Traces Using Scaling Pattern Recognition for MPI Workloads. IEEE Transactions on Parallel and Distributed Systems. 28(8). 2159–2171. 7 indexed citations
3.
Clapp, Russell M., et al.. (2015). Quantifying the Performance Impact of Memory Latency and Bandwidth for Big Data Workloads. 213–224. 23 indexed citations
4.
Chen, Jian & Russell M. Clapp. (2015). Critical-path candidates: scalable performance modeling for MPI workloads. 1–10. 9 indexed citations
5.
Clapp, Russell M., et al.. (2015). A Simple Model to Quantify the Impact of Memory Latency and Bandwidth on Performance. 471–472. 4 indexed citations
6.
Lovett, Tom & Russell M. Clapp. (1996). STiNG. ACM SIGARCH Computer Architecture News. 24(2). 308–317. 22 indexed citations
7.
Lovett, Tom & Russell M. Clapp. (1996). STiNG. 308–317. 199 indexed citations
8.
Clapp, Russell M. & Trevor Mudge. (1992). Parallel language constructs for efficient parallel processing. 230–241 vol.2. 2 indexed citations
9.
Clapp, Russell M. & Trevor Mudge. (1990). The time problem. 20–28.
10.
Clapp, Russell M., et al.. (1990). Cache coherence requirements for interprocess rendezvous. International Journal of Parallel Programming. 19(1). 31–51. 1 indexed citations
11.
Clapp, Russell M. & Trevor Mudge. (1990). The space problem. 29–32. 2 indexed citations
12.
Clapp, Russell M. & Trevor Mudge. (1989). Ada on a hypercube. ACM SIGAda Ada Letters. IX(2). 118–128. 4 indexed citations
13.
Clapp, Russell M. & Trevor Mudge. (1988). Distributed Ada on a loosely coupled multiprocessor. Deep Blue (University of Michigan). 2 indexed citations
14.
Clapp, Russell M. & Trevor Mudge. (1988). Ada on hypercube. 1. 399–408. 2 indexed citations
15.
Clapp, Russell M., Trevor Mudge, & Raphael Volz. (1986). Solutions to the n Queens problem using tasking in Ada. ACM SIGPLAN Notices. 21(12). 99–110. 4 indexed citations
16.
Clapp, Russell M., et al.. (1986). Toward real-time performance benchmarks for Ada. Communications of the ACM. 29(8). 760–778. 54 indexed citations

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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