David Thorsley

1.0k total citations
23 papers, 616 citations indexed

About

David Thorsley is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, David Thorsley has authored 23 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 7 papers in Computer Networks and Communications and 5 papers in Molecular Biology. Recurrent topics in David Thorsley's work include Petri Nets in System Modeling (11 papers), Formal Methods in Verification (8 papers) and Gene Regulatory Network Analysis (5 papers). David Thorsley is often cited by papers focused on Petri Nets in System Modeling (11 papers), Formal Methods in Verification (8 papers) and Gene Regulatory Network Analysis (5 papers). David Thorsley collaborates with scholars based in United States, Belgium and France. David Thorsley's co-authors include Demosthenis Teneketzis, Jaques Reifman, Srinivasan Rajaraman, Nancy J. Wesensten, Sridhar Ramakrishnan, S. Laxminarayan, Tae-Sic Yoo, Humberto E. Garcia, Eric Klavins and Thomas J. Balkin and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

David Thorsley

23 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Thorsley United States 10 321 139 111 106 98 23 616
M. Fletcher Canada 9 71 0.2× 13 0.1× 38 0.3× 43 0.4× 215 2.2× 32 536
Bernd Kleinjohann Germany 10 33 0.1× 74 0.5× 61 0.5× 37 0.3× 31 0.3× 64 331
Alireza Sepas‐Moghaddam Iran 14 103 0.3× 51 0.4× 39 0.4× 40 0.4× 20 0.2× 36 631
Shin‐Dug Kim South Korea 15 36 0.1× 101 0.7× 476 4.3× 26 0.2× 21 0.2× 132 948
Kouamana Bousson Portugal 10 23 0.1× 33 0.2× 24 0.2× 59 0.6× 5 0.1× 41 307
Wen-Hung Huang Germany 15 58 0.2× 31 0.2× 258 2.3× 16 0.2× 18 0.2× 36 633
Bouraoui Ouni Tunisia 11 80 0.2× 68 0.5× 73 0.7× 10 0.1× 11 0.1× 49 401
Baoyun Lu China 5 21 0.1× 173 1.2× 46 0.4× 7 0.1× 31 0.3× 9 384
Deon Garrett United States 7 50 0.2× 51 0.4× 23 0.2× 16 0.2× 16 0.2× 15 695
C. Michael Holloway United States 14 49 0.2× 52 0.4× 28 0.3× 37 0.3× 1 0.0× 63 580

Countries citing papers authored by David Thorsley

Since Specialization
Citations

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

Fields of papers citing papers by David Thorsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Thorsley

This figure shows the co-authorship network connecting the top 25 collaborators of David Thorsley. A scholar is included among the top collaborators of David Thorsley 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 Thorsley. David Thorsley 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.
Zheng, Mai, Suren Byna, Houjun Tang, et al.. (2024). PROV-IO: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. IEEE Transactions on Parallel and Distributed Systems. 35(5). 844–861. 3 indexed citations
2.
Kim, Sehoon, Sheng Shen, David Thorsley, et al.. (2022). Learned Token Pruning for Transformers. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 784–794. 49 indexed citations
3.
Fang, Jun, et al.. (2020). Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. arXiv (Cornell University). 3 indexed citations
4.
Thorsley, David, Srinivasan Rajaraman, Tracy L. Rupp, et al.. (2013). A unified mathematical model to quantify performance impairment for both chronic sleep restriction and total sleep deprivation. Journal of Theoretical Biology. 331. 66–77. 49 indexed citations
5.
Laxminarayan, S., David Thorsley, Sridhar Ramakrishnan, et al.. (2013). PC-PVT: A platform for psychomotor vigilance task testing, analysis, and prediction. Behavior Research Methods. 46(1). 140–147. 116 indexed citations
6.
Thorsley, David & Eric Klavins. (2012). Estimation and Discrimination of Stochastic Biochemical Circuits from Time-Lapse Microscopy Data. PLoS ONE. 7(11). e47151–e47151. 4 indexed citations
7.
Ramakrishnan, Sridhar, et al.. (2012). Individualized performance prediction during total sleep deprivation: Accounting for trait vulnerability to sleep loss. PubMed. 75. 5574–5577. 2 indexed citations
8.
Rajaraman, Srinivasan, Sridhar Ramakrishnan, David Thorsley, et al.. (2012). A new metric for quantifying performance impairment on the psychomotor vigilance test. Journal of Sleep Research. 21(6). 659–674. 14 indexed citations
9.
Thorsley, David. (2010). Diagnosability of stochastic chemical kinetic systems: a discrete event systems approach. 2623–2630. 6 indexed citations
10.
Napp, Nils, David Thorsley, & Eric Klavins. (2009). Hidden Markov Models for non-well-mixed reaction networks. 149. 737–744. 5 indexed citations
11.
Garcia, Humberto E., et al.. (2009). Sequential window diagnoser for discrete-event systems under unreliable observations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6. 668–675. 4 indexed citations
12.
Thorsley, David & Eric Klavins. (2008). Model reduction of stochastic processes using Wasserstein pseudometrics. 1374–1381. 9 indexed citations
13.
Thorsley, David, Tae-Sic Yoo, & Humberto E. Garcia. (2008). Diagnosability of stochastic discrete-event systems under unreliable observations. 1158–1165. 38 indexed citations
14.
Thorsley, David & Demosthenis Teneketzis. (2007). Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems. Discrete Event Dynamic Systems. 17(4). 531–583. 60 indexed citations
15.
Thorsley, David & Demosthenis Teneketzis. (2007). Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems. Discrete Event Dynamic Systems. 17(4). 585–586. 2 indexed citations
16.
Thorsley, David. (2006). Applications of stochastic techniques to partially observed discrete event systems.. Deep Blue (University of Michigan). 1 indexed citations
17.
Thorsley, David & Demosthenis Teneketzis. (2006). Diagnosis of Cyclic Discrete-Event Systems Using Active Acquisition of Information. 9. 248–255. 6 indexed citations
18.
Thorsley, David & Demosthenis Teneketzis. (2006). Intrusion Detection in Controlled Discrete Event Systems. 6047–6054. 50 indexed citations
19.
Thorsley, David & Demosthenis Teneketzis. (2005). Diagnosability of stochastic discrete-event systems. IEEE Transactions on Automatic Control. 50(4). 476–492. 161 indexed citations
20.
Thorsley, David & Demosthenis Teneketzis. (2004). Diagnosability of stochastic automata. 6. 6289–6294. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by M. Fletcher Breakdown of academic impact, for papers by Bernd Kleinjohann Breakdown of academic impact, for papers by Alireza Sepas‐Moghaddam Breakdown of academic impact, for papers by Shin‐Dug Kim Breakdown of academic impact, for papers by Kouamana Bousson Breakdown of academic impact, for papers by Wen-Hung Huang Breakdown of academic impact, for papers by Bouraoui Ouni Breakdown of academic impact, for papers by Baoyun Lu Breakdown of academic impact, for papers by Deon Garrett Breakdown of academic impact, for papers by C. Michael Holloway
Rankless by CCL
2026