Carlos Ruiz
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- Video Surveillance and Tracking Methods 8
- Context-Aware Activity Recognition Systems 7
- Signal Processing top 10%
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- IoT and Edge/Fog Computing 4
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- Indoor and Outdoor Localization Technologies 9
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- Robotics and Sensor-Based Localization 7
- UAV Applications and Optimization 4
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- Semantic Web and Ontologies 4
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- Industrial Vision Systems and Defect Detection 4
- Co-authors
- Pei ZhangShijia PanXinlei ChenHae Young NohAveek PurohitStefano CarpinMyra SpiliopoulouErnestina Menasalvas
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)ACM Transactions on Sensor Networks (2 papers)Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
Carlos Ruiz
38 papers receiving 386 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 129
- Signal Processing 50
- Automotive Engineering 47
- Transportation 24
- Computer Networks and Communications 76
Countries citing papers authored by Carlos Ruiz
This map shows the geographic impact of Carlos Ruiz'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 Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Ruiz more than expected).
Fields of papers citing papers by Carlos Ruiz
This network shows the impact of papers produced by Carlos Ruiz. 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 Ruiz. The network helps show where Carlos Ruiz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos Ruiz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 30 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 4 | |
| 15 | Poster Abstract: Hybrid and Adaptive Drone Identification through Motion Actuation and Vision Feature Matching | 2017 | 2 |
| 16 | 2017 | 5 | |
| 17 | KLocator: An Ontology-Based Framework for Scenario-Driven Geographical Scope Resolution | 2013 | 3 |
| 18 | 2009 | 10 | |
| 19 | 2009 | 38 | |
| 20 | Towards a Methodology for Educating Students with Special Needs. | 2007 | 1 |
About Carlos Ruiz
Carlos Ruiz is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 403 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (9 papers), Video Surveillance and Tracking Methods (8 papers), Context-Aware Activity Recognition Systems (7 papers), Robotics and Sensor-Based Localization (7 papers), IoT and Edge/Fog Computing (4 papers), UAV Applications and Optimization (4 papers), Semantic Web and Ontologies (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Signal Processing (50 citations) and Automotive Engineering (47 citations). Carlos Ruiz has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Pei Zhang, Shijia Pan, Xinlei Chen, Hae Young Noh, Aveek Purohit, Stefano Carpin, Myra Spiliopoulou, Ernestina Menasalvas, Jun Han and Michael G. Mauk. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Sensor Networks, Data Mining and Knowledge Discovery, IEEE Pervasive Computing and International Journal of Transportation Science and Technology.
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.