Mihai Florea
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Éloi BosséAnne-Laure JousselmeDominic GrenierRatnasingham TharmarasaThiagalingam KirubarajanMaxime LeclercDan SongIanis Delpla
- Topics
- Multi-Criteria Decision Making (9 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Bayesian Modeling and Causal Inference (6 papers)
In The Last Decade
Mihai Florea
32 papers receiving 366 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 147
- Management Science and Operations Research 91
- Computer Networks and Communications 68
- Computer Vision and Pattern Recognition 62
- Aerospace Engineering 56
Countries citing papers authored by Mihai Florea
This map shows the geographic impact of Mihai Florea'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 Mihai Florea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Florea more than expected).
Fields of papers citing papers by Mihai Florea
This network shows the impact of papers produced by Mihai Florea. 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 Mihai Florea. The network helps show where Mihai Florea may publish in the future.
Co-authorship network of co-authors of Mihai Florea
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Florea. A scholar is included among the top collaborators of Mihai Florea 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 Mihai Florea. Mihai Florea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 31 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | On the use of holonic agents in the design of information fusion systems | 5 |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 27 | |
| 15 | Dempster-Shafer Theory: Combination of Information Using Contextual Knowledge | 3 |
| 16 | A web services approach for the design of a Multi-Sensor Data Fusion System | 1 |
| 17 | Fusion of Imperfect Information in the Unified Framework of Random Sets Theory: Application to Target Identification | 9 |
| 18 | 4 | |
| 19 | Combinaison d'informations hétérogènes dans le cadre unificateur des ensembles aléatoires : approximations et robustesse | 1 |
| 20 | 7 |
About Mihai Florea
Mihai Florea is a scholar working on Space and Planetary Science, Management Science and Operations Research and Artificial Intelligence, having authored 34 papers that have together received 378 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (9 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Management Science and Operations Research (91 citations), Artificial Intelligence (147 citations) and Ocean Engineering (52 citations). Mihai Florea has collaborated with scholars based in Canada, Romania and Australia. Frequent co-authors include Éloi Bossé, Anne-Laure Jousselme, Dominic Grenier, Ratnasingham Tharmarasa, Thiagalingam Kirubarajan, Maxime Leclerc, Dan Song, Ianis Delpla, Manuel J. Rodríguez and Nicolae Ţãpuş. Their work appears in journals such as Automatica, Chemosphere and Fuzzy Sets and Systems.
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.