Ognjen Rudovic

41 papers receiving 1.1k citations

Peers

Ognjen Rudovic
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 726
  • Experimental and Cognitive Psychology 571
  • Artificial Intelligence 217
  • Cognitive Neuroscience 196
  • Signal Processing 114
Replace S. Mohammad Mavadati with:
S. Mohammad Mavadati United States
Chuangao Tang China
Jyoti Joshi Australia
Stylianos Asteriadis Netherlands
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Emily Mower Provost United States
Zdeněk Smékal Czechia
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 0
2 25
3 2
4
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
0
5 51
6
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
11
7
Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation
38
8
DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation.
3
9 11
10 83
11 4
12 5
13 1
14 12
15 156
16 85
17 35
18 8
19 118
20 67

About Ognjen Rudovic

Ognjen Rudovic is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Signal Processing, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (18 papers), Face and Expression Recognition (17 papers) and Face recognition and analysis (15 papers). The work is most often cited by research in Experimental and Cognitive Psychology (571 citations), Computer Vision and Pattern Recognition (726 citations) and Human-Computer Interaction (87 citations). Ognjen Rudovic has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Maja Pantić, Stefanos Eleftheriadis, Vladimir Pavlović, Ioannis Patras, Rosalind W. Picard, Björn W. Schuller, Robert Walecki, Jaeryoung Lee, Lea Mascarell-Maricic and Jordi Gonzàlez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of Pain.

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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