Jérôme Durand-Lose
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Molecular Biology
- Computer Networks and Communications
- Mechanical Engineering
- Co-authors
- Nataša JonoskaJoffroy BeauquierMaria GradinariuColette JohnenSergey VerlanMaurice MargensternBenedek NagyMatthew J. Patitz
- Topics
- Computability, Logic, AI Algorithms (12 papers)Cellular Automata and Applications (9 papers)DNA and Biological Computing (5 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesJournal of Parallel and Distributed Computing
- Partner nations
- FranceUnited StatesCyprus
In The Last Decade
Jérôme Durand-Lose
17 papers receiving 131 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 54
- Artificial Intelligence 49
- Molecular Biology 28
- Computer Networks and Communications 21
- Mechanical Engineering 17
Countries citing papers authored by Jérôme Durand-Lose
This map shows the geographic impact of Jérôme Durand-Lose'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 Jérôme Durand-Lose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Durand-Lose more than expected).
Fields of papers citing papers by Jérôme Durand-Lose
This network shows the impact of papers produced by Jérôme Durand-Lose. 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 Jérôme Durand-Lose. The network helps show where Jérôme Durand-Lose may publish in the future.
Co-authorship network of co-authors of Jérôme Durand-Lose
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Durand-Lose. A scholar is included among the top collaborators of Jérôme Durand-Lose 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 Jérôme Durand-Lose. Jérôme Durand-Lose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 73 | |
| 7 | 1 | |
| 8 | Proceedings of the 11th international conference on Unconventional Computation and Natural Computation | 7 |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | Proceedings of the Third International Conference on Machines, Computations, and Universality | 1 |
| 17 | 5 | |
| 18 | 6 | |
| 19 | About the Universality of the Billiard ball model. | 1 |
About Jérôme Durand-Lose
Jérôme Durand-Lose is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Hardware and Architecture, having authored 19 papers that have together received 135 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (12 papers), Cellular Automata and Applications (9 papers) and DNA and Biological Computing (5 papers). The work is most often cited by research in Computational Theory and Mathematics (54 citations), Artificial Intelligence (49 citations) and Computer Networks and Communications (21 citations). Jérôme Durand-Lose has collaborated with scholars based in France, United States and Cyprus. Frequent co-authors include Nataša Jonoska, Joffroy Beauquier, Maria Gradinariu, Colette Johnen, Sergey Verlan, Maurice Margenstern, Benedek Nagy, Matthew J. Patitz and Michael Sharp. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Journal of Parallel and Distributed Computing.
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.