Carlos Crispim-Junior
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Artificial Intelligence
- Ecology
- Psychiatry and Mental health
- Co-authors
- Laure TougneD ClémentDavid RousseauÉlodie FaureBéatrice FerversFrançois BrémondIoannis KompatsiarisΓεώργιος Μεδίτσκος
- Topics
- Human Pose and Action Recognition (5 papers)Video Surveillance and Tracking Methods (5 papers)Anomaly Detection Techniques and Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingSensors
- Partner nations
- FranceNetherlandsGreece
In The Last Decade
Carlos Crispim-Junior
21 papers receiving 232 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 86
- Plant Science 60
- Artificial Intelligence 32
- Ecology 28
- Psychiatry and Mental health 25
Countries citing papers authored by Carlos Crispim-Junior
This map shows the geographic impact of Carlos Crispim-Junior'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 Carlos Crispim-Junior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Crispim-Junior more than expected).
Fields of papers citing papers by Carlos Crispim-Junior
This network shows the impact of papers produced by Carlos Crispim-Junior. 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 Carlos Crispim-Junior. The network helps show where Carlos Crispim-Junior may publish in the future.
Co-authorship network of co-authors of Carlos Crispim-Junior
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Crispim-Junior. A scholar is included among the top collaborators of Carlos Crispim-Junior based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos Crispim-Junior. Carlos Crispim-Junior is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 66 | |
| 12 | 38 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 30 | |
| 19 | 25 | |
| 20 | 1 |
About Carlos Crispim-Junior
Carlos Crispim-Junior is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 26 papers that have together received 235 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Space and Planetary Science (7 citations), Computer Vision and Pattern Recognition (86 citations) and Media Technology (23 citations). Carlos Crispim-Junior has collaborated with scholars based in France, Netherlands and Greece. Frequent co-authors include Laure Tougne, D Clément, David Rousseau, Élodie Faure, Béatrice Fervers, François Brémond, Ioannis Kompatsiaris, Γεώργιος Μεδίτσκος, Jenny Benois‐Pineau and Alexia Briassouli. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.