Ibrahim Radwan

861 citations
32 papers · 511 · 1 hit paper · h-index 11

Impact in

Papers in

Ibrahim Radwan

31 papers receiving 504 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 107
  • Computer Vision and Pattern Recognition 190
  • Artificial Intelligence 154
  • Signal Processing 48
  • Human-Computer Interaction 25
  • Computer Networks and Communications 86
Replace Robert Burduk with:
Robert Burduk Poland
S. Karthikeyan India
Ghulam Mujtaba Pakistan
Siddharth Patil United States
Pratik Kanani India
Wenjuan Gong China
Asad Masood Khattak United Arab Emirates
Wooi-Haw Tan Malaysia
Ibrahim Radwan relative to Robert Burduk Poland Robert Burduk's profile →
Citations per field
00.5×4.5×
Robert Burduk · 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 32 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 201996
3 201347
4 201340
5 202132
6 202228
7 202221
8 201914
9 201712
10 201912
11 202210
12 202110
13 20129
14 20228
15 20228
16 20255
17 20234
18 20234
19 20144
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 32 papers that have together received 511 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 (5 papers), Insect Pest Control Strategies (2 papers), Face and Expression Recognition (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Artificial Intelligence (154 citations), Signal Processing (48 citations), Human-Computer Interaction (25 citations) and Computer Networks and Communications (86 citations). Ibrahim Radwan has collaborated with scholars based in Australia, Egypt and United Arab Emirates. Frequent co-authors include Mohammed Hassanin, Roland Goecke, Abhinav Dhall, Nour Moustafa, Kim‐Kwang Raymond Choo, Saeed Anwar, Fahad Shahbaz Khan, Seyit Camtepe, Ajmal Mian and Jyoti Joshi. Their work appears in journals such as Journal of Visual Communication and Image Representation, International Journal of Injury Control and Safety Promotion, International Journal of Intelligent Systems, Information Fusion 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.

Explore authors with similar magnitude of impact