Fernando Matı́a
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Fuzzy Logic and Control Systems 24
- Neural Networks and Applications 7
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- Robotics and Automated Systems 7
- Co-authors
- Diego Rodríguez-Losada (24 shared papers)Iñaki Navarro (4 shared papers)Agustín Jiménez (24 shared papers)Basil Mohammed Al‐Hadithi (19 shared papers)Ramón Galán (14 shared papers)Antonio R. Jiménez (11 shared papers)Pablo San Segundo (9 shared papers)Ricardo Sanz (8 shared papers)
In The Last Decade
Fernando Matı́a
74 papers receiving 947 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 270
- Aerospace Engineering 279
- Artificial Intelligence 354
- Control and Systems Engineering 246
- Computer Networks and Communications 221
Countries citing papers authored by Fernando Matı́a
This map shows the geographic impact of Fernando Matı́a'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 Fernando Matı́a with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Matı́a more than expected).
Fields of papers citing papers by Fernando Matı́a
This network shows the impact of papers produced by Fernando Matı́a. 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 Fernando Matı́a. The network helps show where Fernando Matı́a may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Matı́a, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 143 | |
| 2 | 2009 | 52 | |
| 3 | 2011 | 50 | |
| 4 | 2011 | 40 | |
| 5 | 2006 | 39 | |
| 6 | 2006 | 36 | |
| 7 | 1992 | 35 | |
| 8 | 2006 | 30 | |
| 9 | 2014 | 30 | |
| 10 | 2019 | 30 | |
| 11 | 1998 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2009 | 23 | |
| 14 | 2010 | 21 | |
| 15 | 2006 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2007 | 20 | |
| 18 | 2010 | 19 | |
| 19 | 2004 | 17 | |
| 20 | 2008 | 16 |
About Fernando Matı́a
Fernando Matı́a is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (24 papers), Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (16 papers), Indoor and Outdoor Localization Technologies (11 papers), Fuzzy Systems and Optimization (9 papers), Neural Networks and Applications (7 papers), Modular Robots and Swarm Intelligence (7 papers) and Robotics and Automated Systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Aerospace Engineering (279 citations), Artificial Intelligence (354 citations), Control and Systems Engineering (246 citations) and Computer Networks and Communications (221 citations). Fernando Matı́a has collaborated with scholars based in Spain, Australia and Panama. Frequent co-authors include Diego Rodríguez-Losada, Iñaki Navarro, Agustín Jiménez, Basil Mohammed Al‐Hadithi, Ramón Galán, Antonio R. Jiménez, Pablo San Segundo, Ricardo Sanz, Gamini Dissanayake and Jaime Valls Miró. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Intelligent & Robotic Systems, Applied Sciences, Asian Journal of Control and Robotics and Autonomous Systems.
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.