Jon G. Kuhl

2.3k total citations · 1 hit paper
47 papers, 1.3k citations indexed

About

Jon G. Kuhl is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Hardware and Architecture. According to data from OpenAlex, Jon G. Kuhl has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 13 papers in Control and Systems Engineering and 13 papers in Hardware and Architecture. Recurrent topics in Jon G. Kuhl's work include Distributed and Parallel Computing Systems (12 papers), Real-time simulation and control systems (9 papers) and Interconnection Networks and Systems (8 papers). Jon G. Kuhl is often cited by papers focused on Distributed and Parallel Computing Systems (12 papers), Real-time simulation and control systems (9 papers) and Interconnection Networks and Systems (8 papers). Jon G. Kuhl collaborates with scholars based in United States and Russia. Jon G. Kuhl's co-authors include Thomas L. Casavant, S.M. Reddy, Edward J. Haug, Richard Romano, G. S. Watson, Dae‐Sung Bae, D. Fennell Evans, S.H. Hosseini, Jeffrey S. Freeman and Dong Sik Bae and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and IEEE Transactions on Computers.

In The Last Decade

Jon G. Kuhl

42 papers receiving 1.2k citations

Hit Papers

A taxonomy of scheduling in general-purpose distributed c... 1988 2026 2000 2013 1988 200 400 600
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.

  1. A taxonomy of scheduling in general-purpose distributed computing systems
    1988 604 citations Thomas L. Casavant, Jon G. Kuhl IEEE Transactions on Software Engineering profile →

Peers

Jon G. Kuhl
Sasikumar Punnekkat Sweden
Chi‐Sheng Shih Taiwan
Kyu Ho Park South Korea
Roman Obermaisser Germany
Shige Wang United States
Tridib Mukherjee United States
Alfons Crespo Spain
Christian Buckl Germany
Wei Shu United States
C.M. Krishna United States
Sasikumar Punnekkat Sweden
Jon G. Kuhl
Citations per year, relative to Jon G. Kuhl Jon G. Kuhl (= 1×) peers Sasikumar Punnekkat

Countries citing papers authored by Jon G. Kuhl

Since Specialization
Citations

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

Fields of papers citing papers by Jon G. Kuhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon G. Kuhl. 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 Jon G. Kuhl. The network helps show where Jon G. Kuhl may publish in the future.

Co-authorship network of co-authors of Jon G. Kuhl

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

All Works

20 of 20 papers shown
1.
Dasgupta, Soura, et al.. (2011). Coordinated fault tolerant optimal control of autonomous agents: geometry and communication architecture. Communications in Information and Systems. 11(2). 173–196. 3 indexed citations
2.
Dasgupta, Soura, et al.. (2007). One step ahead quadratic receding horizon distributed control of multiagent formations. ˜The œproceedings of the IEEE Conference on Control Applications. 569–574. 1 indexed citations
3.
Dasgupta, Soura, et al.. (2005). COORDINATED FAULT-TOLERANT CONTROL OF AUTONOMOUS AGENTS: GEOMETRY AND COMMUNICATIONS ARCHITECTURE. IFAC Proceedings Volumes. 38(1). 179–184. 8 indexed citations
4.
Kuhl, Jon G., et al.. (2003). A high performance virtual token-passing multiple-access method for multiple-bus local networks. 5. 432–439. 1 indexed citations
5.
Kuhl, Jon G., et al.. (1995). An inherently parallel method for heuristic problem-solving. I. General framework. IEEE Transactions on Parallel and Distributed Systems. 6(10). 1006–1015. 5 indexed citations
6.
Kuhl, Jon G., et al.. (1995). The Iowa Driving Simulator: an immersive research environment. Computer. 28(7). 35–41. 66 indexed citations
7.
Kuhl, Jon G., et al.. (1994). Stochastic Performance Models of Parallel Task Systems.. 284–285. 6 indexed citations
8.
Kuhl, Jon G., et al.. (1994). Stochastic performance models of parallel task systems (extended abstract). ACM SIGMETRICS Performance Evaluation Review. 22(1). 284–285. 2 indexed citations
9.
Kuhl, Jon G., et al.. (1993). Experimental Validation of a Performance Model for Simple Layered Task Systems. 3. 197–201. 3 indexed citations
10.
Kuhl, Jon G., et al.. (1991). Study of an Inherently Parallel Heuristic Technique.. Proceedings of the International Conference on Parallel Processing. 95–99. 5 indexed citations
11.
Casavant, Thomas L. & Jon G. Kuhl. (1990). A communicating finite automata approach to modeling distributed computation and its application to distributed decision-making. IEEE Transactions on Computers. 39(5). 628–639. 19 indexed citations
12.
Bae, Dong Sik, et al.. (1990). Parallel Processing for Real-Time Dynamic System Simulation. Journal of Mechanical Design. 112(4). 520–528. 24 indexed citations
13.
Kuhl, Jon G., et al.. (1989). An integrated approach to distributed demand assignment in multiple-bus local networks. IEEE Transactions on Computers. 38(5). 679–695. 9 indexed citations
14.
Casavant, Thomas L. & Jon G. Kuhl. (1988). A taxonomy of scheduling in general-purpose distributed computing systems. IEEE Transactions on Software Engineering. 14(2). 141–154. 604 indexed citations breakdown →
15.
Casavant, Thomas L. & Jon G. Kuhl. (1987). Analysis of Three Dynamic Distributed Load-Balancing Strategies with Varying Global Information Requirements.. International Conference on Distributed Computing Systems. 185–193. 31 indexed citations
16.
Ramanujan, R.V. & Jon G. Kuhl. (1986). A New Structuring Mechanism for Support of Spatially Redundant Distributed Computation.. Proceedings of the International Conference on Parallel Processing. 624–627.
17.
Casavant, Thomas L. & Jon G. Kuhl. (1986). A Formal Model of Distributed Decision-Making and Its Application to Distributed Load Balancing.. International Conference on Distributed Computing Systems. 232–239. 21 indexed citations
18.
Kuhl, Jon G., S.M. Reddy, & Prabhakar Raghavan. (1983). A Class of Graphs for Processor Interconnection.. Proceedings of the International Conference on Parallel Processing. 154–157. 4 indexed citations
19.
Kuhl, Jon G. & S.M. Reddy. (1983). On Testable Design for CMOS Logic Circuits.. International Test Conference. 21(22). 435–445. 83 indexed citations
20.
Kuhl, Jon G.. (1980). Fault diagnosis in computing networks. 13 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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