J.M. Collado

603 citations
12 papers · 398 · h-index 8

Impact in

Papers in

J.M. Collado

11 papers receiving 369 citations

Peers

J.M. Collado
Comparison fields: 5 of 52
  • Automotive Engineering 101
  • Aerospace Engineering 186
  • Computer Vision and Pattern Recognition 127
  • Statistics, Probability and Uncertainty 25
  • Safety, Risk, Reliability and Quality 32
Replace Dachuan Li with:
Dachuan Li China
Janito Vaqueiro Ferreira Brazil
Jiwon Jung South Korea
Pedro Gamboa Portugal
Mohamed Nadir Boukoberine France
Bingqiang Li China
Luc Rolland Canada
Hong Nie China
Agusmian Partogi Ompusunggu Belgium
Dongkyu Lee South Korea
J.M. Collado relative to Dachuan Li China Dachuan Li's profile →
Citations per field
00.5×10×12.5×
Dachuan Li · 1×
Citations per year

Countries citing papers authored by J.M. Collado

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Collado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J.M. Collado, 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 J.M. Collado Line = papers co-authored together J.M. Collado links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004226
2 200440
3 200732
4 200528
5 200626
6 200523
7 20067
8 20037
9 20025
10 20083
11 20041
12 20070

About J.M. Collado

J.M. Collado is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Materials Chemistry, having authored 12 papers that have together received 398 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers), Graphite, nuclear technology, radiation studies (2 papers), Nuclear reactor physics and engineering (2 papers), Image and Object Detection Techniques (2 papers) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Automotive Engineering (101 citations), Aerospace Engineering (186 citations), Computer Vision and Pattern Recognition (127 citations), Statistics, Probability and Uncertainty (25 citations) and Safety, Risk, Reliability and Quality (32 citations). J.M. Collado has collaborated with scholars based in Spain, Brazil and United States. Frequent co-authors include José María Armingol, Davor Grgić, Hisashi Ninokata, L. Oriani, Mello Moraes, Marco Enrico Ricotti, Francesco Oriolo, C. Lombardi, Mario D. Carelli and L. Conway. Their work appears in journals such as Robotics and Autonomous Systems, Nuclear Engineering and Design, IFAC Proceedings Volumes and The Proceedings of the International Conference on Nuclear Engineering (ICONE).

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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