Ibrahim Radwan

861 citations
31 papers · 461 · 1 hit paper · h-index 11

Impact in

Papers in

Ibrahim Radwan

30 papers receiving 455 citations

Ibrahim Radwan's Hit Papers

Visual attention methods in deep learning: An in-depth survey 2024 · 122 citations
1220+1Years since publication4080120

Peers

Ibrahim Radwan
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 151
  • Artificial Intelligence 142
  • Signal Processing 44
  • Human-Computer Interaction 21
  • Computer Networks and Communications 84
Replace Bassem S. Abu-Nasser with:
Bassem S. Abu-Nasser Palestinian Territory
S. Karthikeyan India
Michifumi Yoshioka Japan
Setya Widyawan Prakosa Taiwan
Manas Ranjan Prusty India
Kevin Hung Hong Kong
Emrah Dönmez Türkiye
Wenjuan Gong China
Ibrahim Radwan relative to Bassem S. Abu-Nasser Palestinian Territory Bassem S. Abu-Nasser's profile →
Citations per field
00.5×11.7×
Bassem S. Abu-Nasser · 1×
Citations per year

Countries citing papers authored by Ibrahim Radwan

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Radwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ibrahim Radwan, 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 Ibrahim Radwan Line = papers co-authored together Ibrahim Radwan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visual attention methods in deep learning: An in-depth survey
Hit paper breakdown →
2024122
2 201994
3 201342
4 202132
5 202227
6 202220
7 201914
8 201712
9 201912
10 202210
11 202110
12 20129
13 20228
14 20228
15 20255
16 20234
17 20234
18 20144
19 20223
20 20223

About Ibrahim Radwan

Ibrahim Radwan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Experimental and Cognitive Psychology and Insect Science, having authored 31 papers that have together received 461 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (7 papers), Anomaly Detection Techniques and Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Emotion and Mood Recognition (4 papers), Insect Pest Control Strategies (2 papers), Insect and Pesticide Research (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (142 citations), Signal Processing (44 citations), Human-Computer Interaction (21 citations) and Computer Networks and Communications (84 citations). Ibrahim Radwan has collaborated with scholars based in Australia, Egypt and United Arab Emirates. Frequent co-authors include Mohammed Hassanin, Nour Moustafa, Ajmal Mian, Seyit Camtepe, Saeed Anwar, Kim‐Kwang Raymond Choo, Fahad Shahbaz Khan, Roland Goecke, Abhinav Dhall and Chun Guang Li. Their work appears in journals such as Research Quarterly for Exercise and Sport, Journal of Visual Communication and Image Representation, IEEE Transactions on Information Forensics and Security, IEEE Journal of Biomedical and Health Informatics and International Journal of Molecular Sciences.

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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