Pablo César

5.7k total citations · 2 hit papers
273 papers, 3.7k citations indexed

About

Pablo César is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Pablo César has authored 273 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Computer Vision and Pattern Recognition, 126 papers in Sociology and Political Science and 69 papers in Computer Networks and Communications. Recurrent topics in Pablo César's work include Multimedia Communication and Technology (119 papers), Video Analysis and Summarization (56 papers) and Image and Video Quality Assessment (54 papers). Pablo César is often cited by papers focused on Multimedia Communication and Technology (119 papers), Video Analysis and Summarization (56 papers) and Image and Video Quality Assessment (54 papers). Pablo César collaborates with scholars based in Netherlands, United Kingdom and United States. Pablo César's co-authors include Rufael Mekuria, Dick C. A. Bulterman, Irene Viola, David Geerts, Abdallah El Ali, Jack Jansen, Konstantinos Chorianopoulos, Shishir Subramanyam, Tianyi Zhang and Alan Hanjalić and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sensors.

In The Last Decade

Pablo César

251 papers receiving 3.5k citations

Hit Papers

Emerging MPEG Standards f... 2016 2026 2019 2022 2018 2016 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pablo César 2.0k 1.0k 829 700 633 273 3.7k
Michael Zyda 1.2k 0.6× 685 0.7× 925 1.1× 197 0.3× 471 0.7× 152 4.6k
Mira Dontcheva 2.0k 1.0× 386 0.4× 521 0.6× 85 0.1× 220 0.3× 76 3.8k
Wilmot Li 1.7k 0.9× 291 0.3× 661 0.8× 696 1.0× 648 1.0× 74 2.8k
Julian Togelius 2.1k 1.1× 3.0k 2.9× 214 0.3× 80 0.1× 257 0.4× 282 7.0k
George Fitzmaurice 3.1k 1.5× 373 0.4× 4.4k 5.3× 185 0.3× 355 0.6× 145 6.7k
Melanie Tory 2.2k 1.1× 460 0.4× 839 1.0× 38 0.1× 182 0.3× 103 3.4k
Hirokazu Kato 4.3k 2.2× 142 0.1× 2.9k 3.5× 154 0.2× 187 0.3× 267 6.0k
Ravin Balakrishnan 3.4k 1.7× 471 0.5× 7.0k 8.4× 286 0.4× 569 0.9× 154 9.2k
Georgios N. Yannakakis 1.8k 0.9× 2.4k 2.3× 441 0.5× 47 0.1× 177 0.3× 201 6.0k
Jason Leigh 1.4k 0.7× 302 0.3× 1.1k 1.4× 34 0.0× 360 0.6× 188 3.2k

Countries citing papers authored by Pablo César

Since Specialization
Citations

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

Fields of papers citing papers by Pablo César

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo César

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo César. A scholar is included among the top collaborators of Pablo César 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 Pablo César. Pablo César 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.
Viola, Irene, et al.. (2025). Comparison of Visual Saliency for Dynamic Point Clouds: Task-free vs. Task-dependent. IEEE Transactions on Visualization and Computer Graphics. 31(5). 2964–2974.
2.
Alexiou, Evangelos, et al.. (2025). PointPCA+: A full-reference Point Cloud Quality Assessment metric with PCA-based features. Signal Processing Image Communication. 135. 117262–117262. 1 indexed citations
3.
Viola, Irene, et al.. (2025). Enhancing the Audience Experience for VR and AR Theatre with AI-generated Subtitles. Research Publications (Maastricht University). 1–11.
4.
Shamma, David A., et al.. (2024). A Platform for Collecting User Behaviour Data during Social VR Experiments Using Mozilla Hubs. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 41–44. 3 indexed citations
5.
Viola, Irene, et al.. (2024). ComPEQ-MR. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 367–373. 1 indexed citations
6.
Viola, Irene, et al.. (2024). Deciphering Perceptual Quality in Colored Point Cloud: Prioritizing Geometry or Texture Distortion?. VU Research Portal. 7813–7822. 2 indexed citations
7.
Viola, Irene, Jesús Gutiérrez, Jack Jansen, et al.. (2024). Delay Threshold for Social Interaction in Volumetric eXtended Reality Communication. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–22. 7 indexed citations
8.
Viola, Irene, et al.. (2024). Visual-Saliency Guided Multi-modal Learning for No Reference Point Cloud Quality Assessment. 39–47. 2 indexed citations
9.
Bota, Patrícia, Tianyi Zhang, Abdallah El Ali, et al.. (2023). Group Synchrony for Emotion Recognition Using Physiological Signals. IEEE Transactions on Affective Computing. 14(4). 2614–2625. 13 indexed citations
10.
Zorrilla, Mikel, et al.. (2022). The Co-Creation Space: Supporting Asynchronous Artistic Co-creation Dynamics. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 18–22. 5 indexed citations
11.
Zhang, Tianyi, Abdallah El Ali, Alan Hanjalić, & Pablo César. (2022). Few-Shot Learning for Fine-Grained Emotion Recognition Using Physiological Signals. IEEE Transactions on Multimedia. 25. 3773–3787. 21 indexed citations
12.
Zhang, Tianyi, et al.. (2022). Multimodal-Based and Aesthetic-Guided Narrative Video Summarization. IEEE Transactions on Multimedia. 25. 4894–4908. 13 indexed citations
13.
Zhang, Tianyi, Abdallah El Ali, Chen Wang, Alan Hanjalić, & Pablo César. (2022). Weakly-Supervised Learning for Fine-Grained Emotion Recognition Using Physiological Signals. IEEE Transactions on Affective Computing. 14(3). 2304–2322. 17 indexed citations
14.
Xue, Tong, et al.. (2021). CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360$^\circ$ VR Videos. IEEE Transactions on Multimedia. 25. 243–255. 40 indexed citations
15.
Subramanyam, Shishir, et al.. (2020). Comparing the Quality of Highly Realistic Digital Humans in 3DoF and 6DoF: A Volumetric Video Case Study. Data Archiving and Networked Services (DANS). 127–136. 39 indexed citations
16.
Chatzitofis, Anargyros, Nikolaos Zioulis, Shishir Subramanyam, et al.. (2020). HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media. IEEE Access. 8. 176241–176262. 35 indexed citations
17.
Zhang, Tianyi, Abdallah El Ali, Chen Wang, Alan Hanjalić, & Pablo César. (2020). CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors. Sensors. 21(1). 52–52. 47 indexed citations
18.
Schwarz, Sebastian, Marius Preda, Vittorio Baroncini, et al.. (2018). Emerging MPEG Standards for Point Cloud Compression. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(1). 133–148. 509 indexed citations breakdown →
19.
Cabrero, Sergio, et al.. (2016). A model for evaluating sharing policies for network-assisted HTTP adaptive streaming. Computer Networks. 109. 234–245. 5 indexed citations
20.
César, Pablo, et al.. (2008). Enhancing Social Sharing Of Videos: Fragment, Annotate, Enrich, And Share. UCL Discovery (University College London). 1 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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