Manuel Castillo‐Cara
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Luis Orozco–BarbosaIsmael García-VareaRaúl García‐CastroBlanca CamineroCarmen CarriónEnrique AriasRodrigo M. Carrillo‐LarcoAntonio Bernabé‐Ortiz
- Topics
- Indoor and Outdoor Localization Technologies (7 papers)IoT and Edge/Fog Computing (6 papers)Context-Aware Activity Recognition Systems (5 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- SpainPeruUnited Kingdom
In The Last Decade
Manuel Castillo‐Cara
22 papers receiving 246 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 122
- Computer Networks and Communications 105
- Computer Vision and Pattern Recognition 47
- Artificial Intelligence 45
- Aerospace Engineering 34
Countries citing papers authored by Manuel Castillo‐Cara
This map shows the geographic impact of Manuel Castillo‐Cara'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 Manuel Castillo‐Cara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Castillo‐Cara more than expected).
Fields of papers citing papers by Manuel Castillo‐Cara
This network shows the impact of papers produced by Manuel Castillo‐Cara. 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 Manuel Castillo‐Cara. The network helps show where Manuel Castillo‐Cara may publish in the future.
Co-authorship network of co-authors of Manuel Castillo‐Cara
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Castillo‐Cara. A scholar is included among the top collaborators of Manuel Castillo‐Cara 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 Manuel Castillo‐Cara. Manuel Castillo‐Cara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 27 | |
| 16 | 18 | |
| 17 | 37 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 19 |
About Manuel Castillo‐Cara
Manuel Castillo‐Cara is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 26 papers that have together received 253 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (7 papers), IoT and Edge/Fog Computing (6 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (105 citations), Computer Vision and Pattern Recognition (47 citations) and Signal Processing (24 citations). Manuel Castillo‐Cara has collaborated with scholars based in Spain, Peru and United Kingdom. Frequent co-authors include Luis Orozco–Barbosa, Ismael García-Varea, Raúl García‐Castro, Blanca Caminero, Carmen Carrión, Enrique Arias, Rodrigo M. Carrillo‐Larco, Antonio Bernabé‐Ortiz, Cecilia Anza‐Ramirez and Wilmer Cristobal Guzman‐Vilca. Their work appears in journals such as Expert Systems with Applications, IEEE Access 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.