Samir Touma

817 citations
14 papers · 456 indexed · 1 hit paper · h-index 6
Topics
Retinal Imaging and Analysis (4 papers)Ocular Diseases and Behçet’s Syndrome (4 papers)Artificial Intelligence in Healthcare and Education (3 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsVision Research

In The Last Decade

Samir Touma

13 papers receiving 445 citations

Hit Papers

Evaluating the Performance of ChatGPT in Ophthalmology20232026202420252023100200300

Peers

Samir Touma
Comparison fields: 5 of 80
  • Health Informatics 326
  • Radiology, Nuclear Medicine and Imaging 264
  • Ophthalmology 96
  • Artificial Intelligence 96
  • Family Practice 59
Replace Daniel Milad with:
Daniel Milad Canada
Jonathan El‐Khoury Canada
Ryan S. Huang Canada
Hanzhou Li United States
Takanobu Hirosawa Japan
Henry David Jeffry Hogg United Kingdom
Arya Rao United States
Mohammad Delsoz United States
Michael Pang United States
Meghana Kamineni United States
Samir Touma relative to Daniel Milad Canada Daniel Milad's profile →
Citations per field
00.5×1.5×
Daniel Milad · 1×
Citations per year

Countries citing papers authored by Samir Touma

Since Specialization
Citations

This map shows the geographic impact of Samir Touma'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 Samir Touma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Touma more than expected).

Fields of papers citing papers by Samir Touma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samir Touma. 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 Samir Touma. The network helps show where Samir Touma may publish in the future.

Co-authorship network of co-authors of Samir Touma

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Touma. A scholar is included among the top collaborators of Samir Touma 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 Samir Touma. Samir Touma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 31
3 4
4 6
5 0
6
Evaluating the Performance of ChatGPT in Ophthalmologybreakdown →
306
7 59
8 5
9 30
10 6
11 1
12 3
13 3
14 1

About Samir Touma

Samir Touma is a scholar working on Health Informatics, Family Practice and Ophthalmology, having authored 14 papers that have together received 456 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (4 papers), Ocular Diseases and Behçet’s Syndrome (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (326 citations), Family Practice (59 citations) and Radiology, Nuclear Medicine and Imaging (264 citations). Samir Touma has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Fares Antaki, Renaud Duval, Daniel Milad, Jonathan El‐Khoury, Charles‐Édouard Giguère, Pearse A. Keane, Mark A. Chia, Andrei-Alexandru Szigiato, Marie Carole Boucher and Marie‐Josée Aubin. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Vision Research.

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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