José R. Casar
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Computer Networks and Communications top 5%
- Ocean Engineering top 5%
- Co-authors
- Ana M. BernardosPaula TarríoJuan A. BesadaJesús Garcı́aJosé M. MolinaLuca BergesioAntonio BerlangaJorge Pérez
- Topics
- Context-Aware Activity Recognition Systems (23 papers)Indoor and Outdoor Localization Technologies (15 papers)Target Tracking and Data Fusion in Sensor Networks (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsInternational Journal of Environmental Research and Public Health
In The Last Decade
José R. Casar
80 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Electrical and Electronic Engineering 397
- Computer Vision and Pattern Recognition 385
- Aerospace Engineering 322
- Computer Networks and Communications 283
- Ocean Engineering 163
Countries citing papers authored by José R. Casar
This map shows the geographic impact of José R. Casar'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 José R. Casar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José R. Casar more than expected).
Fields of papers citing papers by José R. Casar
This network shows the impact of papers produced by José R. Casar. 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 José R. Casar. The network helps show where José R. Casar may publish in the future.
Co-authorship network of co-authors of José R. Casar
This figure shows the co-authorship network connecting the top 25 collaborators of José R. Casar. A scholar is included among the top collaborators of José R. Casar 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 José R. Casar. José R. Casar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 89 | |
| 9 | 7 | |
| 10 | 28 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | A gesture-enabled method for natural identification in smart spaces | 1 |
| 16 | 3 | |
| 17 | Enhancing activity recognition by fusing inertial and biometric information | 7 |
| 18 | Analysis of data fusion architectures and techniques in the development of an A-SMGCS Surveillance prototype | 0 |
| 19 | Optimization of airport ground operations integrating genetic and dynamic flow management algorithms | 35 |
| 20 | 9 |
About José R. Casar
José R. Casar is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (23 papers), Indoor and Outdoor Localization Technologies (15 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). The work is most often cited by research in Human-Computer Interaction (113 citations), Computer Vision and Pattern Recognition (385 citations) and Aerospace Engineering (322 citations). José R. Casar has collaborated with scholars based in Spain, France and Belgium. Frequent co-authors include Ana M. Bernardos, Paula Tarrío, Juan A. Besada, Jesús Garcı́a, José M. Molina, Luca Bergesio, Antonio Berlanga, Jorge Pérez, Sofía Aparicio and Matteo Cesana. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.
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.