Albert Ali Salah

5.7k citations
159 papers · 2.5k · h-index 30

Impact in

Papers in

Albert Ali Salah

150 papers receiving 2.3k citations

Peers

Albert Ali Salah
Comparison fields: 5 of 141
  • Computer Vision and Pattern Recognition 1.2k
  • Experimental and Cognitive Psychology 655
  • Signal Processing 478
  • Human-Computer Interaction 170
  • Artificial Intelligence 609
Replace Ioannis Pavlidis with:
Ioannis Pavlidis United States
Ian Fasel United States
Jacob Whitehill United States
Patrick Lucey United States
Denis Lalanne Switzerland
Hayley Hung Netherlands
Jim Tørresen Norway
Nicolas Tsapatsoulis Cyprus
Matjaž Gams Slovenia
Jwu‐Sheng Hu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Albert Ali Salah

Since Specialization
Citations

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

Fields of papers citing papers by Albert Ali Salah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Ali Salah. 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 Albert Ali Salah. The network helps show where Albert Ali Salah may publish in the future.

Co-authors

The 25 scholars most cited alongside Albert Ali Salah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Albert Ali Salah Line = papers co-authored together Albert Ali Salah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017162
2 200288
3 201583
4 201379
5 201677
6 201475
7 202067
8 201566
9 201562
10 200962
11 201657
12 200851
13 201248
14 201448
15 201545
16 202243
17 201543
18 201742
19 201441
20 200736

About Albert Ali Salah

Albert Ali Salah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Human-Computer Interaction, having authored 159 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (34 papers), Face recognition and analysis (31 papers), Emotion and Mood Recognition (27 papers), Video Surveillance and Tracking Methods (14 papers), Biometric Identification and Security (11 papers), Gaze Tracking and Assistive Technology (9 papers), Human Pose and Action Recognition (9 papers) and Human Mobility and Location-Based Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Experimental and Cognitive Psychology (655 citations), Signal Processing (478 citations), Human-Computer Interaction (170 citations) and Artificial Intelligence (609 citations). Albert Ali Salah has collaborated with scholars based in Türkiye, Netherlands and United States. Frequent co-authors include Heysem Kaya, Hamdi Dibeklioğlu, Theo Gevers, Furkan Gürpınar, Lale Akarun, Ethem Alpaydın, H. Levent Akın, Alexey Karpov, Roberto Valenti and Alkım Almila Akdağ Salah. Their work appears in journals such as IEEE Transactions on Affective Computing, EPJ Data Science, IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security and Digital Scholarship in the Humanities.

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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