World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
14120
World Ranking
4264
National Ranking
55

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2016 - IEEE Fellow For contributions to multimedia information retrieval

Overview

Alan Hanjalic is affiliated with Delft University of Technology in the Netherlands. Their research primarily falls within the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, and Experimental and Cognitive Psychology.

They have contributed extensively to various areas, including Multimodal Machine Learning Applications, Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Recommender Systems and Techniques, Advanced Graph Neural Networks, Advanced Image and Video Retrieval Techniques, and Domain Adaptation and Few-Shot Learning.

Hanjalic's recent published papers include:

  • Accuracy-diversity trade-off in recommender systems via graph convolutions, 2020, Information Processing & Management
  • Radial Graph Convolutional Network for Visual Question Generation, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Unified Binary Generative Adversarial Network for Image Retrieval and Compression, 2020, International Journal of Computer Vision
  • CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors, 2020, Sensors

Frequent co-authors with whom Hanjalic collaborated include:

  • Huijuan Wang
  • Pablo César
  • Xing Xu
  • Heng Tao Shen
  • Elvin Isufi

Hanjalic's work appears frequently in publication venues such as arXiv (Cornell University), Information Processing & Management, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, and IEEE Transactions on Neural Networks and Learning Systems.

In 2016, Alan Hanjalic was recognized as an IEEE Fellow for contributions to multimedia information retrieval.

Best Publications

  • Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges

    Yue Shi;Martha Larson;Alan Hanjalic

  • Affective video content representation and modeling

    A. Hanjalic;Li-Qun Xu

  • Shot-boundary detection: unraveled and resolved?

    A. Hanjalic

  • Adversarial Cross-Modal Retrieval

    Bokun Wang;Yang Yang;Xing Xu;Alan Hanjalic

  • An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis

    A. Hanjalic;HongJiang Zhang

  • CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • Proceedings of the 15th ACM international conference on Multimedia

    Rainer Lienhart;Anand R. Prasad;Alan Hanjalic;Sunghyun Choi

  • Automated high-level movie segmentation for advanced video-retrieval systems

    A. Hanjalic;R.L. Lagendijk;J. Biemond

  • List-wise learning to rank with matrix factorization for collaborative filtering

    Yue Shi;Martha Larson;Alan Hanjalic

  • Extracting moods from pictures and sounds: towards truly personalized TV

    A. Hanjalic

  • TFMAP: optimizing MAP for top-n context-aware recommendation

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning

    Jingkuan Song;Yuyu Guo;Lianli Gao;Xuelong Li

  • Proceedings of the 22nd ACM international conference on Multimedia

    Kien A. Hua;Yong Rui;Ralf Steinmetz;Alan Hanjalic

  • Video Captioning by Adversarial LSTM

    Yang Yang;Jie Zhou;Jiangbo Ai;Yi Bin

  • A flexible framework for key audio effects detection and auditory context inference

    R. Cai;Lie Lu;A. Hanjalic;Hong-Jiang Zhang

  • Adaptive extraction of highlights from a sport video based on excitement modeling

    A. Hanjalic

  • Cross-Domain Collaborative Filtering with Factorization Machines

    Babak Loni;Yue Shi;Martha Larson;Alan Hanjalic

  • Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

    Jaehun Kim;Stjepan Picek;Annelie Heuser;Shivam Bhasin

  • Bayesian Personalized Ranking with Multi-Channel User Feedback

    Babak Loni;Roberto Pagano;Martha Larson;Alan Hanjalic

  • Pairwise geometric matching for large-scale object retrieval

    Xinchao Li;Martha Larson;Alan Hanjalic

  • Supervised reranking for web image search

    Linjun Yang;Alan Hanjalic

  • Proceedings of the 2016 ACM on Multimedia Conference

    Alan Hanjalic;Cees Snoek;Marcel Worring;Dick Bulterman

Frequent Co-Authors

Martha Larson
Martha Larson Radboud University
Reginald L. Lagendijk
Reginald L. Lagendijk Delft University of Technology
Jan Biemond
Jan Biemond Delft University of Technology
Lie Lu
Lie Lu Dolby (United States)
Linjun Yang
Linjun Yang Microsoft (United States)
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Nicu Sebe
Nicu Sebe University of Trento
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)
Yang Yang
Yang Yang University of Electronic Science and Technology of China
Xian-Sheng Hua
Xian-Sheng Hua Terminus International

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can open up new opportunities for Computer Science students in the USA. Many learners consider pursuing further education to diversify their skills or transition into leadership roles. For example, executive mba programs online are popular with technology professionals who aim to fill management or executive positions in tech firms.

Those interested in data organization and information architecture may find a master in library science a valuable pathway, especially for work in digital libraries or information management sectors.

Budget-conscious students often seek the cheapest online graduate programs to continue their education affordably while maintaining flexibility for work or family commitments.

For those aspiring to advanced leadership roles in academic or corporate settings, earning a doctorate in leadership online can provide crucial skills for organizational management and strategic decision-making.

Combining computer science with these online degree options can create diverse and rewarding career paths in today’s digital-first industries.

Best Scientists Citing Alan Hanjalic

Trending Scientists

Recently Published Articles