Sergio A. Velastín

8.4k citations
178 papers · 5.3k indexed · 4 hit papers · h-index 34

Sergio A. Velastín

172 papers receiving 5.0k citations

Hit Papers

Local Fisher Discriminant Analysis for Pedestrian Re-...3972005202620122019100200300400

Peers

Sergio A. Velastín
Comparison fields: 5 of 159
  • Computer Vision and Pattern Recognition 4.2k
  • Artificial Intelligence 1.9k
  • Safety, Risk, Reliability and Quality 422
  • Human-Computer Interaction 221
  • Media Technology 315
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Citations per field
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Citations per year

Countries citing papers authored by Sergio A. Velastín

Since Specialization
Citations

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

Fields of papers citing papers by Sergio A. Velastín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20243
5 20241
6 20237
7 202131
8 202029
9 201925
10 20197
11 201828
12
Graphical interfaces for development exploiting the third dimension using Kinect
20131
13 20110
14
Vehicle localisation and classification in urban CCTV streams
200918
15
Intelligent Distributed Video Surveillance Systems (Professional Applications of Computing) (Professional Applications of Computing)
20064
16
Multi-sensory tools to improve personal security in public transport networks
20032
17 20012
18
Detection of Potentially Dangerous Situations involving Crowds using Image Processing.
19999
19
Estimation Of Crowd Density Using Image Processing
19973
20
Project CROMATICA
19975

About Sergio A. Velastín

Sergio A. Velastín is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 178 papers that have together received 5.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (83 papers), Human Pose and Action Recognition (48 papers), Anomaly Detection Techniques and Applications (33 papers), Gait Recognition and Analysis (24 papers), Video Analysis and Summarization (15 papers), Advanced Vision and Imaging (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Hand Gesture Recognition Systems (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.2k citations), Artificial Intelligence (1.9k citations) and Safety, Risk, Reliability and Quality (422 citations). Sergio A. Velastín has collaborated with scholars based in United Kingdom, Spain and Pakistan. Frequent co-authors include James Orwell, Norbert Buch, B. Boghossian, Paolo Remagnino, Benny Lo, Muhammad Haroon Yousaf, A.C. Davies, Aparecido Nilceu Marana, Roberto Lotufo and Saima Nazir. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

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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