Joumana Ghosn
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Media Technology
- Management Science and Operations Research
- Co-authors
- P.N. YianilosIngemar J. CoxYoshua BengioThomas V. PapathomasMatthew L. MillerThomas P. MinkaMatt L. MillerLinyan Meng
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Bayesian Methods and Mixture Models (2 papers)Image Retrieval and Classification Techniques (2 papers)
- Journals
- GeophysicsIEEE Transactions on Neural NetworksNeural Information Processing Systems
- Partner nations
- CanadaUnited StatesColombia
In The Last Decade
Joumana Ghosn
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 222
- Artificial Intelligence 87
- Signal Processing 77
- Media Technology 21
- Management Science and Operations Research 14
Countries citing papers authored by Joumana Ghosn
This map shows the geographic impact of Joumana Ghosn'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 Joumana Ghosn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joumana Ghosn more than expected).
Fields of papers citing papers by Joumana Ghosn
This network shows the impact of papers produced by Joumana Ghosn. 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 Joumana Ghosn. The network helps show where Joumana Ghosn may publish in the future.
Co-authorship network of co-authors of Joumana Ghosn
This figure shows the co-authorship network connecting the top 25 collaborators of Joumana Ghosn. A scholar is included among the top collaborators of Joumana Ghosn 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 Joumana Ghosn. Joumana Ghosn 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 | 6 | |
| 3 | 1 | |
| 4 | 33 | |
| 5 | Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference | 12 |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 28 | |
| 9 | Multi-Task Learning for Stock Selection | 47 |
| 10 | 160 |
About Joumana Ghosn
Joumana Ghosn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 10 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Bayesian Methods and Mixture Models (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Signal Processing (77 citations) and Artificial Intelligence (87 citations). Joumana Ghosn has collaborated with scholars based in Canada, United States and Colombia. Frequent co-authors include P.N. Yianilos, Ingemar J. Cox, Yoshua Bengio, Thomas V. Papathomas, Matthew L. Miller, Thomas P. Minka, Matt L. Miller, Linyan Meng, Nicolas Chapados and Charles Dugas. Their work appears in journals such as Geophysics, IEEE Transactions on Neural Networks and Neural Information Processing 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.