Johann Dréo
-
- Advanced Multi-Objective Optimization Algorithms 11
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 12
- Evolutionary Algorithms and Applications 9
- AI-based Problem Solving and Planning 1
-
- Medical Image Segmentation Techniques 2
-
- Distributed Control Multi-Agent Systems 2
-
- Retinal Imaging and Analysis 1
-
- Modular Robots and Swarm Intelligence 1
- Co-authors
- Patrick SiarryMarc SchoenauerCarola DoerrBenjamin DoerrDiederick VermettenManuel López‐IbáñezJean-Philippe AumassonPascal Kerschke
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Evolutionary Computation (1 paper)Future Generation Computer Systems (1 paper)Applied Mathematics and Computation (1 paper)
- Partner nations
- FranceAustraliaUnited Kingdom
In The Last Decade
Johann Dréo
22 papers receiving 282 citations
Peers
Comparison fields: 5 of 57
- Computational Theory and Mathematics 153
- Artificial Intelligence 217
- Industrial and Manufacturing Engineering 51
- Computer Vision and Pattern Recognition 29
- Statistics, Probability and Uncertainty 10
Countries citing papers authored by Johann Dréo
This map shows the geographic impact of Johann Dréo'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 Johann Dréo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johann Dréo more than expected).
Fields of papers citing papers by Johann Dréo
This network shows the impact of papers produced by Johann Dréo. 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 Johann Dréo. The network helps show where Johann Dréo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johann Dréo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian Cancer | 2024 | 1 |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 2 | |
| 6 | Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics | 2021 | 10 |
| 7 | 2020 | 1 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2017 | 49 | |
| 13 | 2012 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2009 | 15 | |
| 16 | 2008 | 1 | |
| 17 | Hybrid Continuous Interacting Ant Colony aimed at enhanced global optimization | 2007 | 11 |
| 18 | 2007 | 7 | |
| 19 | 2006 | 1 | |
| 20 | 2006 | 38 |
About Johann Dréo
Johann Dréo is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 23 papers that have together received 300 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Evolutionary Algorithms and Applications (9 papers), Distributed Control Multi-Agent Systems (2 papers), Medical Image Segmentation Techniques (2 papers), AI-based Problem Solving and Planning (1 paper), Retinal Imaging and Analysis (1 paper) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Artificial Intelligence (217 citations) and Industrial and Manufacturing Engineering (51 citations). Johann Dréo has collaborated with scholars based in France, Australia and United Kingdom. Frequent co-authors include Patrick Siarry, Marc Schoenauer, Carola Doerr, Benjamin Doerr, Diederick Vermetten, Manuel López‐Ibáñez, Jean-Philippe Aumasson, Pascal Kerschke, Benjamin Bouvier and Frédéric Barbaresco. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Future Generation Computer Systems and Applied Mathematics and Computation.
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.