Francisco Gavilan

506 citations
23 papers · 369 indexed · h-index 11

Francisco Gavilan

22 papers receiving 361 citations

Peers

Francisco Gavilan
Comparison fields: 5 of 41
  • Aerospace Engineering 299
  • Control and Systems Engineering 186
  • Astronomy and Astrophysics 95
  • Computer Vision and Pattern Recognition 62
  • Computer Networks and Communications 43
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Taylor P. Reynolds United States
Jinchang Hu China
Sagar Bhatt United States
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Countries citing papers authored by Francisco Gavilan

Since Specialization
Citations

This map shows the geographic impact of Francisco Gavilan'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 Francisco Gavilan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Gavilan more than expected).

Fields of papers citing papers by Francisco Gavilan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco Gavilan. 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 Francisco Gavilan. The network helps show where Francisco Gavilan may publish in the future.

Co-authorship network

The 13 scholars most cited alongside Francisco Gavilan, 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 Francisco Gavilan Line = papers co-authored together Francisco Gavilan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20219
4
Pulse-width predictive control for LTV systems with application to spacecraft rendezvous
202010
5 202044
6 201920
7 20194
8 20181
9 20181
10 20189
11 20181
12 20151
13 201553
14 201511
15 20151
16 201517
17 201437
18 201139
19 20114
20 201166

About Francisco Gavilan

Francisco Gavilan is a scholar working on Aerospace Engineering, Astronomy and Astrophysics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 23 papers that have together received 369 indexed citations. Recurring topics across this work include Spacecraft Dynamics and Control (11 papers), Space Satellite Systems and Control (10 papers), Astro and Planetary Science (8 papers), Guidance and Control Systems (7 papers), Adaptive Control of Nonlinear Systems (7 papers), Advanced Control Systems Optimization (4 papers), Robotic Path Planning Algorithms (3 papers) and Stability and Control of Uncertain Systems (2 papers). The work is most often cited by research in Aerospace Engineering (299 citations), Control and Systems Engineering (186 citations), Astronomy and Astrophysics (95 citations), Computer Vision and Pattern Recognition (62 citations) and Computer Networks and Communications (43 citations). Francisco Gavilan has collaborated with scholars based in Spain, France and Australia. Frequent co-authors include Rafael Vázquez, Eduardo F. Camacho, José Ángel Acosta, Christophe Louembet, J.L. Mora, Javier López Jiménez, I. Alvarado, Mario De La Rosa, Francisco Antonio Navarro Valverde and J. Rebollo. Their work appears in journals such as Acta Astronautica, Journal of Guidance Control and Dynamics, IEEE Transactions on Aerospace and Electronic Systems, Aerospace Science and Technology and Control Engineering Practice.

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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