David M. Chess

9.4k total citations · 1 hit paper
29 papers, 5.1k citations indexed

About

David M. Chess is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, David M. Chess has authored 29 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in David M. Chess's work include Distributed and Parallel Computing Systems (7 papers), Advanced Malware Detection Techniques (7 papers) and Distributed systems and fault tolerance (6 papers). David M. Chess is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Advanced Malware Detection Techniques (7 papers) and Distributed systems and fault tolerance (6 papers). David M. Chess collaborates with scholars based in United States, United Kingdom and Poland. David M. Chess's co-authors include Jeffrey O. Kephart, Steve R. White, Ian Whalley, Gene Tsudik, Colin Parris, Benjamin N. Grosof, Colin Harrison, D. Levine, J.E. Hanson and Alla Segal and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Computer and Scientific American.

In The Last Decade

David M. Chess

28 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The vision of autonomic computing

2003 3.8k citations Jeffrey O. Kephart, David M. Chess profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David M. Chess United States	15	3.5k	2.6k	2.6k	365	316	29	5.1k
Klaus Wehrle Germany	35	3.9k 1.1×	1.5k 0.6×	1.6k 0.6×	662 1.8×	274 0.9×	307	6.0k
Frank Buschmann Germany	16	1.7k 0.5×	2.9k 1.1×	3.1k 1.2×	228 0.6×	403 1.3×	47	4.9k
Bradley Schmerl United States	26	2.0k 0.6×	2.5k 1.0×	2.0k 0.8×	109 0.3×	240 0.8×	116	3.3k
David Garlan United States	24	2.0k 0.6×	2.8k 1.1×	2.7k 1.1×	142 0.4×	279 0.9×	151	4.6k
Maarten van Steen Netherlands	36	4.7k 1.3×	1.3k 0.5×	1.8k 0.7×	549 1.5×	329 1.0×	224	5.8k
Danny Weyns Belgium	34	1.7k 0.5×	2.4k 0.9×	1.6k 0.6×	100 0.3×	136 0.4×	236	3.9k
Peter Steenkiste United States	43	6.2k 1.8×	2.0k 0.8×	1.6k 0.6×	271 0.7×	775 2.5×	252	7.8k
Alexander L. Wolf United States	36	4.5k 1.3×	3.7k 1.4×	4.2k 1.6×	356 1.0×	310 1.0×	166	7.5k
Wouter Joosen Belgium	36	2.9k 0.8×	2.9k 1.1×	4.0k 1.6×	1.9k 5.1×	232 0.7×	588	6.6k
B. Chandrasekaran United States	27	1.1k 0.3×	2.3k 0.9×	867 0.3×	126 0.3×	211 0.7×	124	3.9k

Countries citing papers authored by David M. Chess

Since Specialization

Citations

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

Fields of papers citing papers by David M. Chess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Chess

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

All Works

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20 of 20 papers shown

1.

Steinder, Małgorzata, et al.. (2007). Server virtualization in autonomic management of heterogeneous workloads. 139–148. 88 indexed citations

2.

Ganguly, Arijit, Jie Yin, David M. Chess, et al.. (2007). Reducing Complexity of Software Deployment with Delta Configuration. 729–732. 6 indexed citations

3.

Chess, David M., J.E. Hanson, James A. Pershing, & Steve R. White. (2007). Prospects for simplifying ITSM-based management through self-managing resources. IBM Systems Journal. 46(3). 599–608. 2 indexed citations

4.

Whalley, Ian, Asser Tantawi, Małgorzata Steinder, et al.. (2006). Experience with collaborating managers: node group manager and provisioning manager. Cluster Computing. 9(4). 401–416. 12 indexed citations

5.

White, Steve R., James E. Hanson, Ian Whalley, et al.. (2006). Autonomic computing: Architectural approach and prototype. Integrated Computer-Aided Engineering. 13(2). 173–188. 7 indexed citations

6.

Chess, David M.. (2005). Security in autonomic computing. ACM SIGARCH Computer Architecture News. 33(1). 2–5. 3 indexed citations

7.

Tesauro, Gerald, David M. Chess, William E. Walsh, et al.. (2004). A Multi-Agent Systems Approach to Autonomic Computing. Adaptive Agents and Multi-Agents Systems. 1. 464–471. 124 indexed citations

8.

White, Steve R., J.E. Hanson, Ian Whalley, David M. Chess, & Jeffrey O. Kephart. (2004). An architectural approach to autonomic computing. 2–9. 177 indexed citations

9.

Chess, David M., Alla Segal, Ian Whalley, & Steve R. White. (2004). Unity:experiences with a prototype autonomic computing system. 140–147. 62 indexed citations

10.

Chess, David M., et al.. (2003). Merry christma: an early network worm. IEEE Security & Privacy. 1(5). 26–34. 8 indexed citations

11.

Chess, David M.. (2002). Security considerations in agent-based systems. 218. 184–187. 3 indexed citations

12.

Chess, David M. & Steve R. White. (2000). An Undetectable Computer Virus. 69 indexed citations

13.

Chess, David M., Benjamin N. Grosof, Colin Harrison, et al.. (2000). Itinerant Agents for Mobile Computing. IEEE Communications Surveys & Tutorials. 3(3). 34–49. 29 indexed citations

14.

Kephart, Jeffrey O., et al.. (1995). Biologically inspired defenses against computer viruses. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 985–996. 76 indexed citations

15.

Chess, David M., Benjamin N. Grosof, Colin Harrison, et al.. (1995). Itinerant Agents for Mobile Computing Secure, remote applications for large public networks. 4 indexed citations

16.

Kephart, Jeffrey O., Steve R. White, & David M. Chess. (1993). Computers and epidemiology. IEEE Spectrum. 30(5). 20–26. 203 indexed citations

17.

White, Steve R., et al.. (1990). Coping with computer viruses and related problems. 7–28. 5 indexed citations

18.

Chess, David M.. (1988). Simulating the evolution of behavior: the iterated prisoners' dilemma problem. Complex Systems. 2(6). 663–670. 14 indexed citations

19.

Chess, David M. & M. F. Cowlishaw. (1987). A large-scale computer conferencing system. IBM Systems Journal. 26(1). 138–153. 8 indexed citations

20.

Chess, David M., et al.. (1981). The VM/370 Resource Limiter. IBM Systems Journal. 20(4). 424–437. 4 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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