Joumana Ghosn

508 total citations
10 papers, 317 citations indexed

About

Joumana Ghosn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Joumana Ghosn has authored 10 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Astronomy and Astrophysics. Recurrent topics in Joumana Ghosn's 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). Joumana Ghosn is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Bayesian Methods and Mixture Models (2 papers) and Image Retrieval and Classification Techniques (2 papers). Joumana Ghosn collaborates with scholars based in Canada, United States and Colombia. Joumana Ghosn's co-authors include P.N. Yianilos, Ingemar J. Cox, Yoshua Bengio, Thomas V. Papathomas, Matthew L. Miller, Matt L. Miller, Thomas P. Minka, Linyan Meng, Ichiro Takeuchi and Nicolas Chapados and has published in prestigious journals such as Geophysics, IEEE Transactions on Neural Networks and Neural Information Processing Systems.

In The Last Decade

Joumana Ghosn

10 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Joumana Ghosn Canada	7	222	87	77	21	14	10	317
Chris Poppe Belgium	10	187 0.8×	59 0.7×	64 0.8×	8 0.4×	6 0.4×	31	244
Po-Whei Huang Taiwan	6	278 1.3×	58 0.7×	34 0.4×	26 1.2×	5 0.4×	11	359
Ryan G. Gomes United States	4	117 0.5×	163 1.9×	20 0.3×	12 0.6×	6 0.4×	4	230
Evangelos E. Kotsifakos Greece	5	93 0.4×	74 0.9×	116 1.5×	22 1.0×	27 1.9×	9	248
Thibaut Thonet France	4	66 0.3×	90 1.0×	14 0.2×	16 0.8×	11 0.8×	7	174
Amin Golzari Oskouei Iran	10	155 0.7×	187 2.1×	36 0.5×	39 1.9×	7 0.5×	23	304
Şerafettin Taşcı Türkiye	6	191 0.9×	278 3.2×	16 0.2×	18 0.9×	6 0.4×	7	347
Jiajun Liu China	7	165 0.7×	81 0.9×	20 0.3×	8 0.4×	10 0.7×	19	243
Lingyun Song China	10	120 0.5×	159 1.8×	16 0.2×	9 0.4×	18 1.3×	25	257

Countries citing papers authored by Joumana Ghosn

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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10 of 10 papers shown

1.

Bengio, Yoshua, Michael K. Cohen, Joumana Ghosn, et al.. (2025). Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?. 2(5). 1 indexed citations

2.

St-Charles, Pierre-Luc, Bruno Rousseau, Joumana Ghosn, Gilles Bellefleur, & Ernst Schetselaar. (2023). A deep learning benchmark for first break detection from hardrock seismic reflection data. Geophysics. 89(1). WA279–WA294. 6 indexed citations

3.

Ghosn, Joumana, et al.. (2022). DDXPlus: A New Dataset for Automatic Medical Diagnosis. 31306–31318. 1 indexed citations

4.

Ghosn, Joumana & Yoshua Bengio. (2003). Bias learning, knowledge sharing. IEEE Transactions on Neural Networks. 14(4). 748–765. 33 indexed citations

5.

Chapados, Nicolas, Yoshua Bengio, Pascal Vincent, et al.. (2001). Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. Neural Information Processing Systems. 14. 1369–1376. 12 indexed citations

6.

Ghosn, Joumana & Yoshua Bengio. (2000). Bias learning, knowledge sharing. 9. 9–14 vol.1. 7 indexed citations

7.

Papathomas, Thomas V., Ingemar J. Cox, Joumana Ghosn, et al.. (1998). <title>Psychophysical studies of the performance of an image database retrieval system</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3299. 591–602. 22 indexed citations

8.

Cox, Ingemar J., Thomas V. Papathomas, Joumana Ghosn, P.N. Yianilos, & Matthew L. Miller. (1997). Hidden annotation in content based image retrieval. 76–81. 28 indexed citations

9.

Ghosn, Joumana & Yoshua Bengio. (1996). Multi-Task Learning for Stock Selection. Neural Information Processing Systems. 9. 946–952. 47 indexed citations

10.

Cox, Ingemar J., Joumana Ghosn, & P.N. Yianilos. (1996). Feature-based face recognition using mixture-distance. 209–216. 160 indexed citations

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.

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