Daniel Serrano
Impact in
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
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- Robotic Path Planning Algorithms
Papers in
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- UAV Applications and Optimization 7
- Robotics and Sensor-Based Localization 5
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- Security and Verification in Computing 11
- Advanced Software Engineering Methodologies 7
- Co-authors
- Geert De Cubber (10 shared papers)Antonio Maña (16 shared papers)Antonio Muñoz (13 shared papers)Daniela Doroftei (6 shared papers)Shashank Govindaraj (8 shared papers)Janusz Będkowski (5 shared papers)Keshav K. Chintamani (6 shared papers)Yago Díez (3 shared papers)
In The Last Decade
Daniel Serrano
49 papers receiving 608 citations
Peers
Comparison fields: 5 of 69
- Aerospace Engineering 175
- Computer Vision and Pattern Recognition 117
- Geology 28
- Control and Systems Engineering 107
- Media Technology 34
Countries citing papers authored by Daniel Serrano
This map shows the geographic impact of Daniel Serrano'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 Daniel Serrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Serrano more than expected).
Fields of papers citing papers by Daniel Serrano
This network shows the impact of papers produced by Daniel Serrano. 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 Daniel Serrano. The network helps show where Daniel Serrano may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Serrano, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2013 | 73 | |
| 3 | 2020 | 64 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 30 | |
| 6 | 2017 | 30 | |
| 7 | 2021 | 27 | |
| 8 | 2013 | 24 | |
| 9 | 2007 | 20 | |
| 10 | 2017 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2009 | 14 | |
| 13 | 2009 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2008 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2020 | 11 | |
| 18 | 2007 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2009 | 9 |
About Daniel Serrano
Daniel Serrano is a scholar working on Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 644 indexed citations. Recurring topics across this work include Security and Verification in Computing (11 papers), Robotics and Automated Systems (10 papers), Access Control and Trust (7 papers), UAV Applications and Optimization (7 papers), Advanced Software Engineering Methodologies (7 papers), Military Strategy and Technology (6 papers), Robotics and Sensor-Based Localization (5 papers) and Mobile Agent-Based Network Management (5 papers). The work is most often cited by research in Aerospace Engineering (175 citations), Computer Vision and Pattern Recognition (117 citations), Geology (28 citations), Control and Systems Engineering (107 citations) and Media Technology (34 citations). Daniel Serrano has collaborated with scholars based in Spain, Belgium and Portugal. Frequent co-authors include Geert De Cubber, Antonio Maña, Antonio Muñoz, Daniela Doroftei, Shashank Govindaraj, Janusz Będkowski, Keshav K. Chintamani, Yago Díez, Sarah Kentsch and Maximo Larry Lopez Caceres. Their work appears in journals such as Journal of Field Robotics, Springer tracts in advanced robotics, Remote Sensing, Acta Astronautica and Lecture notes in computer science.
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.