Daniel Serrano
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Robotics and Sensor-Based Localization 12
- Spacecraft Design and Technology 4
- Co-authors
- Geert De Cubber (8 shared papers)Antonio Maña (16 shared papers)Antonio Muñoz (13 shared papers)M. Blanco (3 shared papers)Daniela Doroftei (6 shared papers)Shashank Govindaraj (6 shared papers)Keshav Chintamani (6 shared papers)Josep M. González (1 shared paper)
In The Last Decade
Daniel Serrano
52 papers receiving 645 citations
Peers
Comparison fields: 5 of 104
- Analytical Chemistry 103
- Biophysics 54
- Aerospace Engineering 209
- Computer Vision and Pattern Recognition 172
- Geology 38
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2013 | 75 | |
| 3 | 2020 | 62 | |
| 4 | 2000 | 60 | |
| 5 | 2017 | 31 | |
| 6 | 1998 | 31 | |
| 7 | 2017 | 30 | |
| 8 | 2021 | 24 | |
| 9 | 2013 | 23 | |
| 10 | 2007 | 19 | |
| 11 | 2014 | 15 | |
| 12 | 2009 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2000 | 12 | |
| 15 | 2009 | 12 | |
| 16 | 2008 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2007 | 10 | |
| 19 | 2019 | 10 | |
| 20 | Pursuing Usable and Useful Data Downloads Under GDPR/CCPA Access Rights via Co-Design. | 2021 | 9 |
About Daniel Serrano
Daniel Serrano is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Ocean Engineering and Control and Systems Engineering, having authored 59 papers that have together received 686 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Underwater Vehicles and Communication Systems (7 papers), Robotics and Automated Systems (7 papers), Mobile Agent-Based Network Management (7 papers), Indoor and Outdoor Localization Technologies (6 papers), Remote Sensing and LiDAR Applications (5 papers), Distributed systems and fault tolerance (5 papers) and Spacecraft Design and Technology (4 papers). The work is most often cited by research in Analytical Chemistry (103 citations), Biophysics (54 citations), Aerospace Engineering (209 citations), Computer Vision and Pattern Recognition (172 citations) and Geology (38 citations). Daniel Serrano has collaborated with scholars based in Spain, France and Portugal. Frequent co-authors include Geert De Cubber, Antonio Maña, Antonio Muñoz, M. Blanco, Daniela Doroftei, Shashank Govindaraj, Keshav Chintamani, Josep M. González, Yago Díez and Sarah Kentsch. Their work appears in journals such as Springer tracts in advanced robotics, Journal of Field Robotics, The Analyst, Journal of Pharmaceutical and Biomedical Analysis and Remote Sensing.
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.