Léonard Boussioux
- Artificial Intelligence
- Health Informatics top 5%
- Radiology, Nuclear Medicine and Imaging
- Experimental and Cognitive Psychology
- Health Information Management top 10%
- Co-authors
- Dimitris BertsimasCynthia ZengVladimir JaćimovićJacqueline N. LaneKarim R. LakhaniYu MaMichael Lingzhi LiKimberly Villalobos Carballo
- Topics
- Big Data and Business Intelligence (2 papers)Open Source Software Innovations (2 papers)Adversarial Robustness in Machine Learning (2 papers)
- Journals
- Organization ScienceInternational Journal of Radiation Oncology*Biology*PhysicsMachine Learning
- Partner nations
- United StatesFranceCanada
In The Last Decade
Léonard Boussioux
7 papers receiving 277 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 90
- Health Informatics 47
- Radiology, Nuclear Medicine and Imaging 40
- Experimental and Cognitive Psychology 24
- Health Information Management 23
Countries citing papers authored by Léonard Boussioux
This map shows the geographic impact of Léonard Boussioux'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 Léonard Boussioux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léonard Boussioux more than expected).
Fields of papers citing papers by Léonard Boussioux
This network shows the impact of papers produced by Léonard Boussioux. 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 Léonard Boussioux. The network helps show where Léonard Boussioux may publish in the future.
Co-authorship network of co-authors of Léonard Boussioux
This figure shows the co-authorship network connecting the top 25 collaborators of Léonard Boussioux. A scholar is included among the top collaborators of Léonard Boussioux 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 Léonard Boussioux. Léonard Boussioux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Crowdless Future? Generative AI and Creative Problem-Solvingbreakdown → | 75 |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 145 | |
| 7 | 35 | |
| 8 | 2 |
About Léonard Boussioux
Léonard Boussioux is a scholar working on Health Informatics, Computer Science Applications and Management Information Systems, having authored 8 papers that have together received 283 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Open Source Software Innovations (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Health Informatics (47 citations), Health Information Management (23 citations) and Artificial Intelligence (90 citations). Léonard Boussioux has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Dimitris Bertsimas, Cynthia Zeng, Vladimir Jaćimović, Jacqueline N. Lane, Karim R. Lakhani, Yu Ma, Michael Lingzhi Li, Kimberly Villalobos Carballo, Luis R. Soenksen and Holly Wiberg. Their work appears in journals such as Organization Science, International Journal of Radiation Oncology*Biology*Physics and Machine Learning.
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.