Hamdi Dibeklioğlu

2.7k total citations
52 papers, 1.1k citations indexed

About

Hamdi Dibeklioğlu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Hamdi Dibeklioğlu has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 13 papers in Experimental and Cognitive Psychology and 12 papers in Artificial Intelligence. Recurrent topics in Hamdi Dibeklioğlu's work include Face recognition and analysis (21 papers), Face and Expression Recognition (12 papers) and Emotion and Mood Recognition (11 papers). Hamdi Dibeklioğlu is often cited by papers focused on Face recognition and analysis (21 papers), Face and Expression Recognition (12 papers) and Emotion and Mood Recognition (11 papers). Hamdi Dibeklioğlu collaborates with scholars based in Türkiye, Netherlands and United States. Hamdi Dibeklioğlu's co-authors include Albert Ali Salah, Theo Gevers, Zakia Hammal, Jeffrey F. Cohn, Laurens van der Maaten, David M. J. Tax, Wenjie Pei, Lale Akarun, Edis Koru and Roberto Valenti and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Hamdi Dibeklioğlu

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamdi Dibeklioğlu Türkiye 19 537 273 212 184 135 52 1.1k
Markus Schröder Germany 14 197 0.4× 407 1.5× 132 0.6× 256 1.4× 187 1.4× 30 1.1k
Tianxing Li United States 17 381 0.7× 452 1.7× 102 0.5× 114 0.6× 112 0.8× 67 1.8k
Wenxin Li China 13 156 0.3× 84 0.3× 342 1.6× 91 0.5× 145 1.1× 52 757
Shiyang Cheng China 18 1.0k 1.9× 274 1.0× 327 1.5× 91 0.5× 37 0.3× 46 1.5k
Jiaxiang Zhang United Kingdom 22 39 0.1× 105 0.4× 149 0.7× 138 0.8× 45 0.3× 65 1.5k
Mitch Wilkes United States 10 431 0.8× 295 1.1× 252 1.2× 215 1.2× 113 0.8× 21 943
Wenfeng Chen China 22 173 0.3× 208 0.8× 21 0.1× 31 0.2× 147 1.1× 113 1.3k
Ruicong Zhi China 19 608 1.1× 263 1.0× 73 0.3× 128 0.7× 50 0.4× 59 1.2k
Shikha Tripathi India 13 183 0.3× 189 0.7× 108 0.5× 94 0.5× 19 0.1× 80 504
Huihui Li China 18 350 0.7× 238 0.9× 88 0.4× 261 1.4× 17 0.1× 69 897

Countries citing papers authored by Hamdi Dibeklioğlu

Since Specialization
Citations

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

Fields of papers citing papers by Hamdi Dibeklioğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamdi Dibeklioğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Hamdi Dibeklioğlu. A scholar is included among the top collaborators of Hamdi Dibeklioğlu 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 Hamdi Dibeklioğlu. Hamdi Dibeklioğlu 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.
Dibeklioğlu, Hamdi, et al.. (2025). SATA: Style Agnostic Test time Adaptation for domain generalization. Image and Vision Computing. 161. 105607–105607.
2.
Dibeklioğlu, Hamdi, et al.. (2024). Motion magnification-inspired feature manipulation for deepfake detection. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 32(1). 166–182. 1 indexed citations
3.
Dibeklioğlu, Hamdi, et al.. (2024). Systematic Analysis of Speech Transcription Modeling for Reliable Assessment of Depression Severity. SHILAP Revista de lepidopterología. 7(1). 77–91.
4.
Dalmaz, Onat, et al.. (2023). User Feedback-based Online Learning for Intent Classification. 613–621. 2 indexed citations
5.
Dibeklioğlu, Hamdi, Elif Sürer, Albert Ali Salah, & Thierry Dutoit. (2021). Behavior and usability analysis for multimodal user interfaces. Journal on Multimodal User Interfaces. 15(4). 335–336. 1 indexed citations
6.
Koç, Aykut, et al.. (2021). Multi-label sentiment analysis on 100 languages with dynamic weighting for label imbalance. Bilkent University Institutional Repository (Bilkent University). 22 indexed citations
7.
Güdükbay, Uğur, et al.. (2021). Multimodal assessment of apparent personality using feature attention and error consistency constraint. Image and Vision Computing. 110. 104163–104163. 23 indexed citations
8.
Wang, Wei, et al.. (2021). Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction. UvA-DARE (University of Amsterdam). 145–154. 9 indexed citations
9.
Tüfekçıoğlu, Zeynep, et al.. (2020). Do Alzheimer’s Disease Patients Appear Younger than Their Real Age?. Dementia and Geriatric Cognitive Disorders. 49(5). 483–488. 2 indexed citations
10.
Dibeklioğlu, Hamdi, Zakia Hammal, & Jeffrey F. Cohn. (2017). Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding. IEEE Journal of Biomedical and Health Informatics. 22(2). 525–536. 128 indexed citations
11.
Pei, Wenjie, Hamdi Dibeklioğlu, David M. J. Tax, & Laurens van der Maaten. (2017). Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model. IEEE Transactions on Neural Networks and Learning Systems. 29(4). 920–931. 65 indexed citations
12.
Li, Guangliang, Hamdi Dibeklioğlu, Shimon Whiteson, & Hayley Hung. (2016). Towards Learning from Implicit Human Reward: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1353–1354. 1 indexed citations
13.
Gürpınar, Furkan, Heysem Kaya, Hamdi Dibeklioğlu, & Albert Ali Salah. (2016). Kernel ELM and CNN Based Facial Age Estimation. 785–791. 57 indexed citations
14.
Dibeklioğlu, Hamdi, Albert Ali Salah, & Theo Gevers. (2015). Recognition of Genuine Smiles. IEEE Transactions on Multimedia. 17(3). 279–294. 66 indexed citations
15.
Guo, Yuanhao, Hamdi Dibeklioğlu, & Laurens van der Maaten. (2014). Graph-Based Kinship Recognition. 4287–4292. 45 indexed citations
16.
Lucassen, Marcel P., Theo Gevers, & Hamdi Dibeklioğlu. (2012). The Effect of Smile and Illumination Color on Age Estimation from Faces. 1 indexed citations
17.
Dibeklioğlu, Hamdi, Albert Ali Salah, & Theo Gevers. (2012). User adaptation based on facial expression and motion for an interactive artifact. 8. 1–4. 1 indexed citations
18.
Dibeklioğlu, Hamdi, Albert Ali Salah, & Theo Gevers. (2011). A Statistical Method for 2-D Facial Landmarking. IEEE Transactions on Image Processing. 21(2). 844–858. 32 indexed citations
19.
Dibeklioğlu, Hamdi, et al.. (2010). An Affect-Responsive Interactive Photo Frame. UvA-DARE (University of Amsterdam). 58–68. 1 indexed citations
20.
Dibeklioğlu, Hamdi, et al.. (2009). Fatty Acid Profile of Spirulina platensis Used as a Food Supplement. Israeli Journal of Aquaculture - Bamidgeh. 61. 52 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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