Sergio Cabrero

413 citations
43 papers · 297 · h-index 9

Impact in

Papers in

Sergio Cabrero

40 papers receiving 285 citations

Peers

Sergio Cabrero
Comparison fields: 5 of 54
  • Computer Networks and Communications 166
  • Computer Vision and Pattern Recognition 148
  • Signal Processing 69
  • Human-Computer Interaction 35
  • Health Informatics 5
Replace Cam-Tu Nguyen with:
Cam-Tu Nguyen China
Rudinei Goularte Brazil
Mikel Zorrilla Spain
Fernando Trinta Brazil
Kiron Lebeck United States
Ruizhi Cheng United States
Sachio Saiki Japan
John R. Vacca United States
Stavros Antifakos Switzerland
Narendra Shekokar India
Sergio Cabrero relative to Cam-Tu Nguyen China Cam-Tu Nguyen's profile →
Citations per field
00.5×3.1×
Cam-Tu Nguyen · 1×
Citations per year

Countries citing papers authored by Sergio Cabrero

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Cabrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sergio Cabrero, 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 Sergio Cabrero Line = papers co-authored together Sergio Cabrero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 201025
3 201521
4 202020
5 201312
6 201111
7 20179
8 20149
9 20138
10 20138
11 20147
12 20167
13 20157
14 20177
15 20177
16 20097
17 20137
18 20116
19 20165
20 20225

About Sergio Cabrero

Sergio Cabrero is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing and Human-Computer Interaction, having authored 43 papers that have together received 297 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (15 papers), Multimedia Communication and Technology (13 papers), Caching and Content Delivery (11 papers), Video Coding and Compression Technologies (8 papers), Network Traffic and Congestion Control (8 papers), Opportunistic and Delay-Tolerant Networks (8 papers), Mobile Ad Hoc Networks (7 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (166 citations), Computer Vision and Pattern Recognition (148 citations), Signal Processing (69 citations), Human-Computer Interaction (35 citations) and Health Informatics (5 citations). Sergio Cabrero has collaborated with scholars based in Spain, Netherlands and Norway. Frequent co-authors include Pablo César, Xabiel G. Pañeda, David Melendi, Roberto García, Rob van der Mei, Thomas Plagemann, Gabriel Díaz, Rahul Nair, Josh Andrés and Erick Oduor. Their work appears in journals such as International Journal of Human-Computer Interaction, Multimedia Tools and Applications, Computer Networks, ACM SIGMETRICS Performance Evaluation Review and Computer Communications.

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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