Pablo César

255 papers receiving 3.7k citations

Pablo César's Hit Papers

Emerging MPEG Standards for Point Cloud Compression 2018 · 523 citations
5230+3+6Years since publication100200300400500

Peers

Pablo César
Comparison fields: 5 of 127
  • Computer Graphics and Computer-Aided Design 636
  • Human-Computer Interaction 871
  • Computer Vision and Pattern Recognition 2.0k
  • Computational Mechanics 710
  • Signal Processing 333
Replace Michael Zyda with:
Michael Zyda United States
Zhigeng Pan China
George Fitzmaurice Canada
Ravin Balakrishnan Canada
Mira Dontcheva United States
Wilmot Li United States
Tovi Grossman Canada
Hirokazu Kato Japan
Melanie Tory Canada
Jason Leigh United States
Pablo César relative to Michael Zyda United States Michael Zyda's profile →
Citations per field
00.5×7.4×
Michael Zyda · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pablo César, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pablo César Line = papers co-authored together Pablo César links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 277 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging MPEG Standards for Point Cloud Compression
Hit paper breakdown →
2018523
2
Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video
Hit paper breakdown →
2016328
3 202081
4 201974
5 202067
6 200863
7 201161
8 201661
9 202052
10 202048
11 202147
12 200845
13 202144
14 201444
15 202243
16 202243
17 202043
18 200942
19 201142
20 200741

About Pablo César

Pablo César is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Computer Networks and Communications, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 277 papers that have together received 3.8k indexed citations. Recurring topics across this work include Multimedia Communication and Technology (119 papers), Video Analysis and Summarization (56 papers), Image and Video Quality Assessment (55 papers), Virtual Reality Applications and Impacts (45 papers), Peer-to-Peer Network Technologies (45 papers), Emotion and Mood Recognition (28 papers), Computer Graphics and Visualization Techniques (22 papers) and Advanced Vision and Imaging (20 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (636 citations), Human-Computer Interaction (871 citations), Computer Vision and Pattern Recognition (2.0k citations), Computational Mechanics (710 citations) and Signal Processing (333 citations). Pablo César has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Rufael Mekuria, Dick C. A. Bulterman, Irene Viola, Abdallah El Ali, David Geerts, Jack Jansen, Shishir Subramanyam, Konstantinos Chorianopoulos, Tianyi Zhang and Alan Hanjalić. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, IEEE Multimedia, Multimedia Tools and Applications and IEEE Transactions on Visualization and Computer Graphics.

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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