Caleb Rascón
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech and Audio Processing 14
- Music and Audio Processing 8
-
- AI-based Problem Solving and Planning 2
- Semantic Web and Ontologies 2
- Co-authors
- Iván Meza (9 shared papers)José Martínez-Carranza (5 shared papers)Gibrán Fuentes-Pineda (10 shared papers)Luis A. Pineda (8 shared papers)Barry Lennox (1 shared paper)Ognjen Marjanović (1 shared paper)Carlos Gershenson (1 shared paper)
- Journals
- Sensors (5 papers)Robotics and Autonomous Systems (1 paper)Applied Spectroscopy (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)Applied Sciences (1 paper)
- Partner nations
- MexicoUnited Kingdom
In The Last Decade
Caleb Rascón
21 papers receiving 333 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 204
- Developmental Biology 9
- Oceanography 43
- Computer Vision and Pattern Recognition 52
- Artificial Intelligence 78
Countries citing papers authored by Caleb Rascón
This map shows the geographic impact of Caleb Rascón'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 Caleb Rascón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb Rascón more than expected).
Fields of papers citing papers by Caleb Rascón
This network shows the impact of papers produced by Caleb Rascón. 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 Caleb Rascón. The network helps show where Caleb Rascón may publish in the future.
Co-authors
The 7 scholars most cited alongside Caleb Rascón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 184 | |
| 2 | 2020 | 22 | |
| 3 | 2013 | 17 | |
| 4 | 2018 | 15 | |
| 5 | 2015 | 14 | |
| 6 | 2015 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2020 | 9 | |
| 9 | IOCA: An Interaction-Oriented Cognitive Architecture | 2011 | 8 |
| 10 | 2020 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2009 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 1 |
About Caleb Rascón
Caleb Rascón is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Computational Mechanics, having authored 23 papers that have together received 343 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Music and Audio Processing (8 papers), Indoor and Outdoor Localization Technologies (5 papers), Aerodynamics and Acoustics in Jet Flows (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Robot Manipulation and Learning (2 papers), AI-based Problem Solving and Planning (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Signal Processing (204 citations), Developmental Biology (9 citations), Oceanography (43 citations), Computer Vision and Pattern Recognition (52 citations) and Artificial Intelligence (78 citations). Caleb Rascón has collaborated with scholars based in Mexico and United Kingdom. Frequent co-authors include Iván Meza, José Martínez-Carranza, Gibrán Fuentes-Pineda, Luis A. Pineda, Barry Lennox, Ognjen Marjanović and Carlos Gershenson. Their work appears in journals such as Sensors, Robotics and Autonomous Systems, Applied Spectroscopy, Journal of Intelligent & Fuzzy Systems and Applied Sciences.
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.