Ognjen Rudovic

2.3k total citations
45 papers, 1.1k citations indexed

About

Ognjen Rudovic is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Ognjen Rudovic has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 20 papers in Experimental and Cognitive Psychology and 13 papers in Artificial Intelligence. Recurrent topics in Ognjen Rudovic's work include Emotion and Mood Recognition (18 papers), Face and Expression Recognition (17 papers) and Face recognition and analysis (15 papers). Ognjen Rudovic is often cited by papers focused on Emotion and Mood Recognition (18 papers), Face and Expression Recognition (17 papers) and Face recognition and analysis (15 papers). Ognjen Rudovic collaborates with scholars based in United States, United Kingdom and Netherlands. Ognjen Rudovic's co-authors include Maja Pantić, Vladimir Pavlović, Stefanos Eleftheriadis, Ioannis Patras, Rosalind W. Picard, Björn W. Schuller, Jaeryoung Lee, Robert Walecki, Lea Mascarell-Maricic and Jordi Gonzàlez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of Pain.

In The Last Decade

Ognjen Rudovic

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ognjen Rudovic United States 17 726 571 217 196 114 45 1.1k
S. Mohammad Mavadati United States 12 733 1.0× 799 1.4× 106 0.5× 260 1.3× 117 1.0× 18 1.2k
Stylianos Asteriadis Netherlands 18 492 0.7× 243 0.4× 270 1.2× 130 0.7× 127 1.1× 66 1.0k
Chuangao Tang China 17 325 0.4× 489 0.9× 177 0.8× 161 0.8× 146 1.3× 32 715
Tanaya Guha United Kingdom 15 509 0.7× 163 0.3× 241 1.1× 150 0.8× 111 1.0× 53 865
Jyoti Joshi Australia 14 763 1.1× 1.0k 1.8× 244 1.1× 233 1.2× 177 1.6× 29 1.4k
Evangelos Sarıyanidi United States 9 482 0.7× 426 0.7× 90 0.4× 134 0.7× 58 0.5× 29 707
Dorota Kamińska Poland 15 349 0.5× 341 0.6× 114 0.5× 129 0.7× 155 1.4× 47 975
S L Happy India 10 559 0.8× 528 0.9× 104 0.5× 76 0.4× 60 0.5× 17 771
Ali Mollahosseini United States 5 852 1.2× 931 1.6× 257 1.2× 240 1.2× 88 0.8× 7 1.4k
Emily Mower Provost United States 22 326 0.4× 1.1k 1.9× 775 3.6× 250 1.3× 722 6.3× 73 1.8k

Countries citing papers authored by Ognjen Rudovic

Since Specialization
Citations

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

Fields of papers citing papers by Ognjen Rudovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ognjen Rudovic

This figure shows the co-authorship network connecting the top 25 collaborators of Ognjen Rudovic. A scholar is included among the top collaborators of Ognjen Rudovic 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 Ognjen Rudovic. Ognjen Rudovic 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.
2.
Palaskar, Shruti, et al.. (2024). Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection. 4778–4782. 1 indexed citations
3.
Rudovic, Ognjen. (2020). Personalized Machine Learning for Human-centered Machine Intelligence. 3–4. 2 indexed citations
4.
Rudovic, Ognjen, et al.. (2019). Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. 181–196.
5.
Rudovic, Ognjen, Jaeryoung Lee, Javier Hernandez, et al.. (2018). CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism. OPUS (Augsburg University). 339–346. 51 indexed citations
6.
Jaques, Natasha, Ognjen Rudovic, Sara Taylor, Akane Sano, & Rosalind W. Picard. (2017). Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. International Joint Conference on Artificial Intelligence. 17–33. 38 indexed citations
7.
Walecki, Robert, et al.. (2017). DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation.. arXiv (Cornell University). 3 indexed citations
8.
Liu, Dianbo, et al.. (2017). DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain. International Joint Conference on Artificial Intelligence. 1–16. 11 indexed citations
9.
Eleftheriadis, Stefanos, Ognjen Rudovic, Marc Peter Deisenroth, & Maja Pantić. (2017). Gaussian Process Domain Experts for Modeling of Facial Affect. IEEE Transactions on Image Processing. 26(10). 4697–4711. 11 indexed citations
10.
Rudovic, Ognjen, Jaeryoung Lee, Lea Mascarell-Maricic, Björn W. Schuller, & Rosalind W. Picard. (2017). Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study. Frontiers in Robotics and AI. 4. 83 indexed citations
11.
Sra, Misha, Prashanth Vijayaraghavan, Ognjen Rudovic, Pattie Maes, & Deb Roy. (2017). DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. 2289–2298. 5 indexed citations
12.
Chen, Weixuan, Ognjen Rudovic, & Rosalind W. Picard. (2017). GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning. 510–517. 13 indexed citations
13.
Walecki, Robert, Ognjen Rudovic, Vladimir Pavlović, & Maja Pantić. (2016). Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity. University of Twente Research Information. 4902–4910. 32 indexed citations
14.
Rudovic, Ognjen, et al.. (2015). Neural conditional ordinal random fields for agreement level estimation. University of Twente Research Information. 1. 885–890. 1 indexed citations
15.
Rudovic, Ognjen, Vladimir Pavlović, & Maja Pantić. (2014). Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(5). 944–958. 85 indexed citations
16.
Eleftheriadis, Stefanos, Ognjen Rudovic, & Maja Pantić. (2014). Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition. IEEE Transactions on Image Processing. 24(1). 189–204. 156 indexed citations
17.
Rudovic, Ognjen, et al.. (2013). Hierarchical On-line Appearance-Based Tracking for 3D head pose, eyebrows, lips, eyelids and irises. Image and Vision Computing. 31(4). 322–340. 35 indexed citations
18.
Rudovic, Ognjen, Stavros Petridis, & Maja Pantić. (2013). Bimodal log-linear regression for fusion of audio and visual features. University of Twente Research Information. 789–792. 8 indexed citations
19.
Rudovic, Ognjen, Maja Pantić, & Ioannis Patras. (2012). Coupled Gaussian processes for pose-invariant facial expression recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(6). 1357–1369. 118 indexed citations
20.
Rudovic, Ognjen, Vladimir Pavlović, & Maja Pantić. (2012). Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation. University of Twente Research Information. 2634–2641. 67 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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