Blaise Genest

807 total citations
24 papers, 123 citations indexed

About

Blaise Genest is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Blaise Genest has authored 24 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 8 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Blaise Genest's work include Formal Methods in Verification (13 papers), Petri Nets in System Modeling (9 papers) and Distributed systems and fault tolerance (5 papers). Blaise Genest is often cited by papers focused on Formal Methods in Verification (13 papers), Petri Nets in System Modeling (9 papers) and Distributed systems and fault tolerance (5 papers). Blaise Genest collaborates with scholars based in France, Singapore and Austria. Blaise Genest's co-authors include Anca Muscholl, Arvind Easwaran, S. Akshay, P. S. Thiagarajan, Marc Zeitoun, Dietrich Kuske, Helmut Seidl, Thomas Gazagnaire, Xiang Fang and Manindra Agrawal and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Journal of the ACM.

In The Last Decade

Blaise Genest

21 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blaise Genest France 8 55 54 30 25 14 24 123
Guillermo A. Pérez Belgium 6 76 1.4× 52 1.0× 31 1.0× 9 0.4× 14 1.0× 23 130
Michel de Rougemont France 6 89 1.6× 65 1.2× 42 1.4× 11 0.4× 5 0.4× 28 134
J. P. Banâtre France 7 68 1.2× 28 0.5× 90 3.0× 27 1.1× 19 1.4× 17 148
Markus N. Rabe United States 6 100 1.8× 62 1.1× 22 0.7× 27 1.1× 4 0.3× 18 151
Rena Bakhshi Netherlands 8 20 0.4× 28 0.5× 100 3.3× 11 0.4× 6 0.4× 27 157
Roland Meyer Germany 6 63 1.1× 59 1.1× 42 1.4× 34 1.4× 4 0.3× 33 135
Pierre‐Cyrille Héam France 7 67 1.2× 65 1.2× 45 1.5× 44 1.8× 17 1.2× 37 139
Ivano Salvo Italy 8 31 0.6× 83 1.5× 24 0.8× 4 0.2× 7 0.5× 24 128
Axel Poigné Germany 8 87 1.6× 98 1.8× 43 1.4× 31 1.2× 4 0.3× 23 165
Józef Winkowski Poland 8 80 1.5× 139 2.6× 56 1.9× 16 0.6× 7 0.5× 35 183

Countries citing papers authored by Blaise Genest

Since Specialization
Citations

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

Fields of papers citing papers by Blaise Genest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blaise Genest

This figure shows the co-authorship network connecting the top 25 collaborators of Blaise Genest. A scholar is included among the top collaborators of Blaise Genest 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 Blaise Genest. Blaise Genest 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.
Fang, Xiang, Arvind Easwaran, Blaise Genest, & Ponnuthurai Nagaratnam Suganthan. (2025). Adaptive Hierarchical Graph Cut for Multi-Granularity Out-of-Distribution Detection. IEEE Transactions on Artificial Intelligence. 7(3). 1213–1222. 1 indexed citations
2.
Fang, Xiang, Arvind Easwaran, Blaise Genest, & Ponnuthurai Nagaratnam Suganthan. (2024). Your data is not perfect: Towards cross-domain out-of-distribution detection in class-imbalanced data. Expert Systems with Applications. 267. 126031–126031. 14 indexed citations
3.
Genest, Blaise, et al.. (2024). Methods for mitigating uncertainty in real-time operations of a connected microgrid. Sustainable Energy Grids and Networks. 38. 101334–101334. 8 indexed citations
4.
Fang, Xiang, Arvind Easwaran, & Blaise Genest. (2024). Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection. DR-NTU (Nanyang Technological University). 33. 176–182. 1 indexed citations
5.
Palaniappan, Sucheendra K., et al.. (2019). Modeling Variability in Populations of Cells Using Approximated Multivariate Distributions. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(5). 1691–1702.
6.
Palaniappan, Sucheendra K., et al.. (2017). Abstracting the dynamics of biological pathways using information theory: a case study of apoptosis pathway. Bioinformatics. 33(13). 1980–1986. 5 indexed citations
7.
Bertrand, Nathalie, Blaise Genest, & Hugo Gimbert. (2017). Qualitative Determinacy and Decidability of Stochastic Games with Signals. Journal of the ACM. 64(5). 1–48. 7 indexed citations
8.
Palaniappan, Sucheendra K., S. Akshay, Bing Liu, Blaise Genest, & P. S. Thiagarajan. (2012). A Hybrid Factored Frontier Algorithm for Dynamic Bayesian Networks with a Biopathways Application. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(5). 1352–1365. 7 indexed citations
9.
Agrawal, Manindra, S. Akshay, Blaise Genest, & P. S. Thiagarajan. (2012). Approximate Verification of the Symbolic Dynamics of Markov Chains. National University of Singapore. 8. 55–64. 8 indexed citations
10.
Darondeau, Philippe, et al.. (2010). Quasi-static scheduling of communicating tasks. Information and Computation. 208(10). 1154–1168. 1 indexed citations
11.
Elkind, Edith, Blaise Genest, Doron Peled, & Paola Spoletini. (2010). QUANTIFYING THE DISCORD: ORDER DISCREPANCIES IN MESSAGE SEQUENCE CHARTS. International Journal of Foundations of Computer Science. 21(2). 211–233. 1 indexed citations
12.
Gazagnaire, Thomas, et al.. (2009). Causal Message Sequence Charts. Theoretical Computer Science. 410(41). 4094–4110. 2 indexed citations
13.
Bošnački, Dragan, Edith Elkind, Blaise Genest, & Doron Peled. (2009). On commutativity based Edge Lean search. Annals of Mathematics and Artificial Intelligence. 56(2). 187–210.
14.
Genest, Blaise, et al.. (2008). Minimal Observability for Transactional Hierarchical Services.. Science in China Series C Life Sciences. 49(3). 531–536. 5 indexed citations
15.
16.
Genest, Blaise, Dietrich Kuske, & Anca Muscholl. (2006). A Kleene theorem and model checking algorithms for existentially bounded communicating automata. Information and Computation. 204(6). 920–956. 15 indexed citations
17.
Genest, Blaise & Anca Muscholl. (2006). Message Sequence Charts: A Survey. 2–4. 5 indexed citations
18.
Hélouët, Loı̈c, Thomas Gazagnaire, & Blaise Genest. (2006). Diagnosis from Scenarios. 307–312. 2 indexed citations
19.
Genest, Blaise, Anca Muscholl, Helmut Seidl, & Marc Zeitoun. (2005). Infinite-state high-level MSCs: Model-checking and realizability. Journal of Computer and System Sciences. 72(4). 617–647. 18 indexed citations
20.
Genest, Blaise & Anca Muscholl. (2002). Pattern Matching and Membership for Hierarchical Message Sequence Charts. Theory of Computing Systems. 42(4). 326–340. 2 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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