Daniel Serrano

33 papers receiving 448 citations

Peers

Daniel Serrano
Comparison fields: 5 of 89
  • Analytical Chemistry 105
  • Biophysics 55
  • Geology 35
  • Computer Vision and Pattern Recognition 121
  • Aerospace Engineering 145
Replace Peng Zhao with:
Peng Zhao China
Jifeng Shen China
Weikang Gu China
Yukang Shi China
Yixuan Wang China
Janne Koljonen Finland
Tao Shen China
Andrés Caro Spain
S. Suchitra India
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Citations per year

Countries citing papers authored by Daniel Serrano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Serrano Line = papers co-authored together Daniel Serrano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 201364
3 200060
4 202057
5 199832
6 202121
7 201316
8 201415
9 200012
10 200912
11 200912
12 202011
13 202010
14
Pursuing Usable and Useful Data Downloads Under GDPR/CCPA Access Rights via Co-Design.
20218
15 20088
16 20207
17 20147
18 19996
19
Protecting agents from malicious hosts using TPM.
20095
20
ICARUS: Providing Unmanned Search and Rescue Tools
20125

About Daniel Serrano

Daniel Serrano is a scholar working on Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, Ocean Engineering and Control and Systems Engineering, having authored 37 papers that have together received 469 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Spectroscopy and Chemometric Analyses (4 papers), Robotics and Automated Systems (4 papers), Mobile Agent-Based Network Management (4 papers), Underwater Vehicles and Communication Systems (4 papers), Spacecraft Design and Technology (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (3 papers). The work is most often cited by research in Analytical Chemistry (105 citations), Biophysics (55 citations), Geology (35 citations), Computer Vision and Pattern Recognition (121 citations) and Aerospace Engineering (145 citations). Daniel Serrano has collaborated with scholars based in Spain, Portugal and Japan. Frequent co-authors include M. Blanco, Geert De Cubber, Josep M. González, Antonio Maña, Maximo Larry Lopez Caceres, Keshav Chintamani, Yago Díez, Sarah Kentsch, Daniela Doroftei and Antonio Muñoz. Their work appears in journals such as Journal of Field Robotics, The Analyst, Acta Astronautica, Scientific Reports and Value in Health.

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.

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