Hanan Salam
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Co-authors
- Eva ThelissonVirginia DignumKshitij SharmaAlice OthmaniOya ÇeliktutanRenaud SéguierHatice GüneşMuhammad Muzammel
- Topics
- Emotion and Mood Recognition (6 papers)Face recognition and analysis (4 papers)Social Robot Interaction and HRI (4 papers)
- Journals
- Scientific ReportsIEEE AccessIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- FranceUnited StatesUnited Arab Emirates
In The Last Decade
Hanan Salam
22 papers receiving 863 citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 285
- Experimental and Cognitive Psychology 170
- Computer Vision and Pattern Recognition 168
- Information Systems 157
- Sociology and Political Science 155
Countries citing papers authored by Hanan Salam
This map shows the geographic impact of Hanan Salam'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 Hanan Salam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanan Salam more than expected).
Fields of papers citing papers by Hanan Salam
This network shows the impact of papers produced by Hanan Salam. 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 Hanan Salam. The network helps show where Hanan Salam may publish in the future.
Co-authorship network of co-authors of Hanan Salam
This figure shows the co-authorship network connecting the top 25 collaborators of Hanan Salam. A scholar is included among the top collaborators of Hanan Salam 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 Hanan Salam. Hanan Salam 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 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 49 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | The General Data Protection Regulationbreakdown → | 599 |
| 17 | 78 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 89 |
About Hanan Salam
Hanan Salam is a scholar working on Issues, ethics and legal aspects, Health Informatics and Experimental and Cognitive Psychology, having authored 23 papers that have together received 911 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Face recognition and analysis (4 papers) and Social Robot Interaction and HRI (4 papers). The work is most often cited by research in Health Informatics (36 citations), Experimental and Cognitive Psychology (170 citations) and Artificial Intelligence (285 citations). Hanan Salam has collaborated with scholars based in France, United States and United Arab Emirates. Frequent co-authors include Eva Thelisson, Virginia Dignum, Kshitij Sharma, Alice Othmani, Oya Çeliktutan, Renaud Séguier, Hatice Güneş, Muhammad Muzammel, Mohamed Chétouani and Isabelle Hupont. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.