José R. Casar

1.7k total citations
92 papers, 1.1k citations indexed

About

José R. Casar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, José R. Casar has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 26 papers in Computer Networks and Communications and 23 papers in Aerospace Engineering. Recurrent topics in José R. Casar's 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). José R. Casar is often cited by papers focused on 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). José R. Casar collaborates with scholars based in Spain, France and Belgium. José R. Casar's 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 Marco Tagliasacchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

José R. Casar

80 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José R. Casar Spain 16 397 385 322 283 163 92 1.1k
Ana M. Bernardos Spain 19 489 1.2× 436 1.1× 292 0.9× 298 1.1× 144 0.9× 120 1.5k
Ramón Brena Mexico 16 463 1.2× 328 0.9× 176 0.5× 196 0.7× 168 1.0× 59 1.1k
Chaocan Xiang China 18 572 1.4× 168 0.4× 167 0.5× 307 1.1× 149 0.9× 72 1.1k
Brian Ferris United States 7 586 1.5× 207 0.5× 250 0.8× 191 0.7× 308 1.9× 12 1.1k
Widyawan Widyawan Indonesia 19 625 1.6× 266 0.7× 244 0.8× 353 1.2× 217 1.3× 108 1.4k
Xianping Tao China 21 660 1.7× 801 2.1× 160 0.5× 575 2.0× 228 1.4× 80 1.6k
Huajie Shao United States 18 367 0.9× 325 0.8× 75 0.2× 315 1.1× 92 0.6× 53 1.1k
Xiaonan Guo United States 17 402 1.0× 282 0.7× 81 0.3× 263 0.9× 87 0.5× 49 970
Hirozumi Yamaguchi Japan 21 767 1.9× 284 0.7× 133 0.4× 743 2.6× 217 1.3× 206 1.6k
Chenglin Miao United States 20 670 1.7× 370 1.0× 123 0.4× 282 1.0× 75 0.5× 49 1.7k

Countries citing papers authored by José R. Casar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Bernardos, Ana M., et al.. (2025). Enhancing healthcare infrastructure resilience through agent-based simulation methods. Computer Communications. 234. 108070–108070.
3.
Casar, José R., Daniel J. Weintraub, & Peter Jeschke. (2025). Operating Range of Turbocharged Air Supply Systems for PEM Fuel Cell Aircraft Propulsion.
4.
Bernardos, Ana M., et al.. (2024). Assessing the Acceptance of a Mid-Air Gesture Syntax for Smart Space Interaction: An Empirical Study. Journal of Sensor and Actuator Networks. 13(2). 25–25.
5.
Bernardos, Ana M., et al.. (2024). Eye-Tracking Analysis for Cognitive Load Estimation in Wearable Mixed Reality. 1–2. 1 indexed citations
6.
Besada, Juan A., et al.. (2019). Drones-as-a-service: A management architecture to provide mission planning, resource brokerage and operation support for fleets of drones. UPM Digital Archive (Technical University of Madrid). 931–936. 28 indexed citations
7.
Besada, Juan A., et al.. (2018). Drone Mission Definition and Implementation for Automated Infrastructure Inspection Using Airborne Sensors. Sensors. 18(4). 1170–1170. 89 indexed citations
8.
Bergesio, Luca, Ana M. Bernardos, & José R. Casar. (2017). An Object-Oriented Model for Object Orchestration in Smart Environments. Procedia Computer Science. 109. 440–447. 7 indexed citations
9.
Bernardos, Ana M., et al.. (2016). A Comparison of Head Pose and Deictic Pointing Interaction Methods for Smart Environments. International Journal of Human-Computer Interaction. 32(4). 325–351. 28 indexed citations
10.
Besada, Juan A., et al.. (2016). A novel system for object pose estimation using fused vision and inertial data. Information Fusion. 33. 15–28. 32 indexed citations
11.
Bernardos, Ana M., et al.. (2015). A Contactless Identification System Based on Hand Shape Features. Procedia Computer Science. 52. 161–168. 6 indexed citations
12.
Bernardos, Ana M., et al.. (2014). A System to Enable Level-of-Detail Mobile Interaction with Augmented Media Objects. 346–351. 6 indexed citations
13.
Bernardos, Ana M., et al.. (2013). A gesture-enabled method for natural identification in smart spaces. International Conference on Information Fusion. 827–834. 1 indexed citations
14.
Bernardos, Ana M., et al.. (2011). Enhancing activity recognition by fusing inertial and biometric information. International Conference on Information Fusion. 1–8. 7 indexed citations
15.
Bernardos, Ana M., Paula Tarrío, & José R. Casar. (2009). CASanDRA: A Framework to Provide Context Acquisition Services ANd Reasoning Algorithms for Ambient Intelligence Applications. UPM Digital Archive (Technical University of Madrid). 5. 372–377. 11 indexed citations
16.
Molina, José M., et al.. (2008). Analysis of data fusion architectures and techniques in the development of an A-SMGCS Surveillance prototype. e-Archivo (Carlos III University of Madrid).
17.
Bernardos, Ana M., Paula Tarrío, & José R. Casar. (2008). A data fusion framework for context-aware mobile services. 4729. 606–613. 16 indexed citations
18.
Gómez, Luis, et al.. (2008). Design of an air-air negotiation protocol to reorder aircraft arrivals sequence. Acceda (Universidad de Las Palmas de Gran Canaria). 3.C.6–1. 4 indexed citations
19.
Garcı́a, Jesús, Antonio Berlanga, José M. Molina, & José R. Casar. (2005). Optimization of airport ground operations integrating genetic and dynamic flow management algorithms. AI Communications. 18(2). 143–164. 35 indexed citations
20.
Casar, José R., et al.. (1997). CFAR detection for Weibull and otherlog-log-linear tailclutter distributions. IEE Proceedings - Radar Sonar and Navigation. 144(2). 64–70. 9 indexed citations

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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