Ibrahim Radwan

826 total citations · 1 hit paper
31 papers, 431 citations indexed

About

Ibrahim Radwan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Ibrahim Radwan has authored 31 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Ibrahim Radwan's work include Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (7 papers) and Video Surveillance and Tracking Methods (5 papers). Ibrahim Radwan is often cited by papers focused on Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (7 papers) and Video Surveillance and Tracking Methods (5 papers). Ibrahim Radwan collaborates with scholars based in Australia, Egypt and United Arab Emirates. Ibrahim Radwan's co-authors include Mohammed Hassanin, Nour Moustafa, Kim‐Kwang Raymond Choo, Roland Goecke, Seyit Camtepe, Ajmal Mian, Saeed Anwar, Fahad Shahbaz Khan, Abhinav Dhall and Deep Jyoti Bhuyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Ibrahim Radwan

30 papers receiving 421 citations

Hit Papers

Visual attention methods in deep learning: An in-depth su... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ibrahim Radwan Australia 10 146 137 84 43 42 31 431
Omar Reyad Egypt 13 142 1.0× 98 0.7× 74 0.9× 22 0.5× 84 2.0× 30 379
Daniel Serrano Spain 12 121 0.8× 63 0.5× 64 0.8× 14 0.3× 14 0.3× 37 469
Setya Widyawan Prakosa Taiwan 12 49 0.3× 105 0.8× 117 1.4× 66 1.5× 63 1.5× 30 438
K. Suresh Kumar India 10 41 0.3× 61 0.4× 47 0.6× 11 0.3× 61 1.5× 56 418
Dinesh Kumar Anguraj India 11 53 0.4× 109 0.8× 158 1.9× 27 0.6× 21 0.5× 70 366
Bassem S. Abu-Nasser Palestinian Territory 12 107 0.7× 170 1.2× 19 0.2× 29 0.7× 54 1.3× 20 546
Ayan Dutta United States 13 122 0.8× 99 0.7× 196 2.3× 9 0.2× 31 0.7× 47 480
Nir Lipovetzky Australia 16 91 0.6× 363 2.6× 69 0.8× 7 0.2× 16 0.4× 54 551

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-authorship network of co-authors of Ibrahim Radwan

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

All Works

20 of 20 papers shown
1.
Mohamed, Ali Wagdy, Reda Mohamed, A. Salam, et al.. (2025). Intelligent Joint Optimization of Deployment and Task Scheduling for Mobile Users in Multi‐UAV‐Assisted MEC System. International Journal of Intelligent Systems. 2025(1). 2 indexed citations
2.
Hassanin, Mohammed, et al.. (2025). Crossformer3D: cross spatio-temporal transformer for 3D human pose estimation. Signal Image and Video Processing. 19(8). 2 indexed citations
3.
4.
Murugappan, M., et al.. (2024). Exploring Electroencephalography-Based Affective Analysis and Detection of Parkinson’s Disease. SHILAP Revista de lepidopterología. 3. 1 indexed citations
5.
Radwan, Ibrahim, et al.. (2023). Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning. UNSWorks (University of New South Wales, Sydney, Australia). 6161–6170. 4 indexed citations
6.
Radwan, Ibrahim, et al.. (2023). A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference. UNSWorks (University of New South Wales, Sydney, Australia). 1. 1–8. 2 indexed citations
8.
Baz, Mohamed M., Mustapha Debboun, Abdelfattah Selim, et al.. (2022). The Contact/Fumigant Adulticidal Effect of Egyptian Oils against the House Fly, Musca domestica (Diptera: Muscidae). International Journal of Veterinary Science. 192–198. 8 indexed citations
9.
Baz, Mohamed M., et al.. (2022). Novel Acaricidal Activity of Vitex castus and Zingiber officinale Extracts against the Camel Tick, Hyalomma dromedarii. International Journal of Veterinary Science. 255–259. 8 indexed citations
10.
Subramanian, Ramanathan, et al.. (2022). To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion. UNSWorks (University of New South Wales, Sydney, Australia). 36–41. 3 indexed citations
11.
Hassanin, Mohammed, et al.. (2022). Crossformer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation. SSRN Electronic Journal. 23 indexed citations
12.
Hassanin, Mohammed, Ibrahim Radwan, Salman Khan, & Murat Tahtalı. (2022). Learning discriminative representations for multi-label image recognition. Journal of Visual Communication and Image Representation. 83. 103448–103448. 20 indexed citations
13.
Radwan, Ibrahim, et al.. (2022). Can Synthetic Data Improve Multi-Class Counting of Surgical Instruments?. 1–8. 1 indexed citations
14.
Alsherbiny, Muhammad A., Ibrahim Radwan, Nour Moustafa, et al.. (2021). Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations. IEEE Journal of Biomedical and Health Informatics. 27(4). 1691–1700. 9 indexed citations
15.
Alsherbiny, Muhammad A., Deep Jyoti Bhuyan, Ibrahim Radwan, Dennis Chang, & Chun Guang Li. (2021). Metabolomic Identification of Anticancer Metabolites of Australian Propolis and Proteomic Elucidation of Its Synergistic Mechanisms with Doxorubicin in the MCF7 Cells. International Journal of Molecular Sciences. 22(15). 7840–7840. 31 indexed citations
16.
Radwan, Ibrahim, et al.. (2019). Gait Estimation and Analysis from Noisy Observations. PubMed. 2. 2707–2712. 1 indexed citations
17.
Radwan, Ibrahim, Nour Moustafa, Byron Keating, Kim‐Kwang Raymond Choo, & Roland Goecke. (2019). Hierarchical Adversarial Network for Human Pose Estimation. IEEE Access. 7. 103619–103628. 3 indexed citations
18.
Radwan, Ibrahim, et al.. (2019). Estimation of Missing Human Body Parts Via Bidirectional LSTM. 2 indexed citations
19.
Radwan, Ibrahim, et al.. (2017). Human Postural Sway Estimation from Noisy Observations. ANU Open Research (Australian National University). 454–461. 2 indexed citations
20.
Radwan, Ibrahim, Abhinav Dhall, & Roland Goecke. (2013). Monocular Image 3D Human Pose Estimation under Self-Occlusion. ANU Open Research (Australian National University). 1888–1895. 42 indexed citations

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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