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 for Point Cloud Compression 2016 2026 2019 2022 2018 2016 100 200 300 400 500

Peers

Pablo César
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 2.0k
  • Sociology and Political Science 1.0k
  • Human-Computer Interaction 829
  • Computational Mechanics 700
  • Computer Graphics and Computer-Aided Design 633
Replace Michael Zyda with:
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Citations per field, relative to Pablo César
Pablo César · 1×
Citations per year, relative to Pablo César
Pablo César · 1×

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
# Work Indexed citations
1 0
2 1
3 3
4 2
5 1
6 7
7 2
8 13
9 21
10 17
11 5
12 40
13 39
14 35
15
Emerging MPEG Standards for Point Cloud Compression breakdown →
509
16 5
17
Enhancing Social Sharing Of Videos: Fragment, Annotate, Enrich, And Share
1
18
NeighbourCast: a synchronisation algorithm for ad hoc networks
1
19 17
20 4

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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