Francisco M. Castro

1.9k citations
29 papers · 414 indexed · h-index 12

Francisco M. Castro

25 papers receiving 389 citations

Peers

Francisco M. Castro
Comparison fields: 5 of 43
  • Human-Computer Interaction 111
  • Computer Vision and Pattern Recognition 306
  • Biomedical Engineering 333
  • Physical Therapy, Sports Therapy and Rehabilitation 18
  • Endocrinology, Diabetes and Metabolism 43
Replace Haruyuki Iwama with:
Haruyuki Iwama Japan
Chi Xu China
Changsheng Wan China
Daoliang Tan China
Naresh P. Cuntoor United States
Rijun Liao United States
Isidro Robledo Vega United States
Nikolaos V. Boulgouris United Kingdom
Rawesak Tanawongsuwan United States
Francisco M. Castro relative to Haruyuki Iwama Japan Haruyuki Iwama's profile →
Citations per field
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Haruyuki Iwama · 1×
Citations per year

Countries citing papers authored by Francisco M. Castro

Since Specialization
Citations

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

Fields of papers citing papers by Francisco M. Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco M. Castro. 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 Francisco M. Castro. The network helps show where Francisco M. Castro may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Francisco M. Castro, 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 Francisco M. Castro Line = papers co-authored together Francisco M. Castro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20250
4 20250
5 20240
6 202318
7 20232
8 20222
9 202125
10 20215
11 20214
12 20203
13 201911
14 201941
15 201850
16 201754
17 201732
18 201634
19 201641
20 201428

About Francisco M. Castro

Francisco M. Castro is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering, having authored 29 papers that have together received 414 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (18 papers), Human Pose and Action Recognition (17 papers), Video Surveillance and Tracking Methods (11 papers), Biometric Identification and Security (4 papers), Anomaly Detection Techniques and Applications (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Advanced Neural Network Applications (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (111 citations), Computer Vision and Pattern Recognition (306 citations) and Biomedical Engineering (333 citations). Francisco M. Castro has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Manuel J. Marín‐Jiménez, Nicolás Guil, R. Medina-Carnicer, Fernando De la Torre, Rafael Muñoz‐Salinas, E. Casilari, Vicky Kalogeiton, Nicolás Pérez de la Blanca, Ruber Hernández-García and A. Carmona-Poyato. Their work appears in journals such as Computer Methods and Programs in Biomedicine, IEEE Access, Expert Systems with Applications, Scientific Reports and Sustainable Computing Informatics and Systems.

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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