Hugo Proença

4.8k citations
140 papers · 3.4k · h-index 28

Impact in

Papers in

Hugo Proença

132 papers receiving 3.2k citations

Peers

Hugo Proença
Comparison fields: 5 of 116
  • Signal Processing 2.4k
  • Computer Vision and Pattern Recognition 1.9k
  • Information Systems 1.0k
  • Safety Research 302
  • Human-Computer Interaction 167
Replace Fernando Alonso‐Fernandez with:
Fernando Alonso‐Fernandez Sweden
Jaihie Kim South Korea
Xiangqian Wu China
Ruggero Donida Labati Italy
Mássimo Tistarelli Italy
James L. Wayman United States
Raghavendra Ramachandra Norway
Phalguni Gupta India
Khalid Saeed Poland
Yiding Wang China
Hugo Proença relative to Fernando Alonso‐Fernandez Sweden Fernando Alonso‐Fernandez's profile →
Citations per field
00.5×1.5×
Fernando Alonso‐Fernandez · 1×
Citations per year

Countries citing papers authored by Hugo Proença

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Proença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005429
2 2009409
3 2006187
4 2009177
5 2007166
6 201798
7 201297
8 200794
9 201170
10 200965
11 202053
12 202352
13 202446
14 201645
15 201041
16 202440
17 201438
18 201236
19 200633
20 201333

About Hugo Proença

Hugo Proença is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Artificial Intelligence and Genetics, having authored 140 papers that have together received 3.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (74 papers), Face recognition and analysis (36 papers), User Authentication and Security Systems (24 papers), Video Surveillance and Tracking Methods (22 papers), Face and Expression Recognition (14 papers), Forensic and Genetic Research (14 papers), Forensic Fingerprint Detection Methods (12 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Signal Processing (2.4k citations), Computer Vision and Pattern Recognition (1.9k citations), Information Systems (1.0k citations), Safety Research (302 citations) and Human-Computer Interaction (167 citations). Hugo Proença has collaborated with scholars based in Portugal, Italy and United States. Frequent co-authors include Luı́s A. Alexandre, João C. Neves, Sílvio Filipe, Ricardo Santos, Gil Nonato C. Santos, Silvio Barra, Fabio Narducci, João A.B.P. Oliveira, Michele Nappi and Maria De Marsico. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Image and Vision Computing, Pattern Recognition Letters, IEEE Access and IEEE Transactions on Biometrics Behavior and Identity Science.

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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