Christophe Gonzales
- Artificial Intelligence
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Economics and Econometrics
- Industrial and Manufacturing Engineering
- Co-authors
- Séverine DubuissonSafia Kedad‐SidhoumPatrice PernyJean‐Yves JaffrayPaolo ViappianiPierre-Henri WuilleminStefan WoltranSebastian Rudolph
- Topics
- Bayesian Modeling and Causal Inference (10 papers)Decision-Making and Behavioral Economics (5 papers)Data Management and Algorithms (4 papers)
- Cited by
- General Decision SciencesManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Computer VisionArtificial Intelligence
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Christophe Gonzales
20 papers receiving 104 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 28
- Management Science and Operations Research 27
- Computer Vision and Pattern Recognition 20
- Economics and Econometrics 19
- Industrial and Manufacturing Engineering 18
Countries citing papers authored by Christophe Gonzales
This map shows the geographic impact of Christophe Gonzales'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 Christophe Gonzales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Gonzales more than expected).
Fields of papers citing papers by Christophe Gonzales
This network shows the impact of papers produced by Christophe Gonzales. 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 Christophe Gonzales. The network helps show where Christophe Gonzales may publish in the future.
Co-authorship network of co-authors of Christophe Gonzales
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Gonzales. A scholar is included among the top collaborators of Christophe Gonzales 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 Christophe Gonzales. Christophe Gonzales 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 | 2 | |
| 4 | 1 | |
| 5 | Testing Independencies in Bayesian Networks with i-Separation. | 1 |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | Learning Bayesian Networks Structure using Markov Networks. | 1 |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 8 |
About Christophe Gonzales
Christophe Gonzales is a scholar working on General Decision Sciences, Signal Processing and Management Science and Operations Research, having authored 22 papers that have together received 105 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Decision-Making and Behavioral Economics (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in General Decision Sciences (18 citations), Management Science and Operations Research (27 citations) and Industrial and Manufacturing Engineering (18 citations). Christophe Gonzales has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Séverine Dubuisson, Safia Kedad‐Sidhoum, Patrice Perny, Séverine Dubuisson, Jean‐Yves Jaffray, Paolo Viappiani, Pierre-Henri Wuillemin, Stefan Woltran, Sebastian Rudolph and Philippe Bonnard. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and Artificial Intelligence.
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.