Juan A. Besada

1.2k citations
86 papers · 773 indexed · h-index 15
Topics
Target Tracking and Data Fusion in Sensor Networks (32 papers)Air Traffic Management and Optimization (21 papers)Robotics and Sensor-Based Localization (11 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
Partner nations
SpainFranceUnited States

In The Last Decade

Juan A. Besada

80 papers receiving 736 citations

Peers

Juan A. Besada
Comparison fields: 5 of 81
  • Aerospace Engineering 398
  • Computer Vision and Pattern Recognition 224
  • Artificial Intelligence 208
  • Electrical and Electronic Engineering 178
  • Computer Networks and Communications 135
Replace Egidio D’Amato with:
Egidio D’Amato Italy
Uwe Klingauf Germany
Jérôme Guzzi Switzerland
Fernando Matı́a Spain
Jesús Capitán Spain
Mario E. Munich United States
Ioannis Mademlis Greece
Ivan Marković Croatia
Huimin Lu China
Nicola Tomatis Switzerland
Juan A. Besada relative to Egidio D’Amato Italy Egidio D’Amato's profile →
Citations per field
00.5×6.8×
Egidio D’Amato · 1×
Citations per year

Countries citing papers authored by Juan A. Besada

Since Specialization
Citations

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

Fields of papers citing papers by Juan A. Besada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan A. Besada. 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 Juan A. Besada. The network helps show where Juan A. Besada may publish in the future.

Co-authorship network of co-authors of Juan A. Besada

This figure shows the co-authorship network connecting the top 25 collaborators of Juan A. Besada. A scholar is included among the top collaborators of Juan A. Besada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan A. Besada. Juan A. Besada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 0
3 0
4 5
5 14
6 9
7 9
8 28
9 89
10 6
11 11
12 8
13 32
14 12
15 6
16 2
17
Bias estimation for evaluation of ATC surveillance systems
7
18 1
19 1
20 14

About Juan A. Besada

Juan A. Besada is a scholar working on Aerospace Engineering, Human-Computer Interaction and Artificial Intelligence, having authored 86 papers that have together received 773 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (32 papers), Air Traffic Management and Optimization (21 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Aerospace Engineering (398 citations), Computer Vision and Pattern Recognition (224 citations) and Human-Computer Interaction (49 citations). Juan A. Besada has collaborated with scholars based in Spain, France and United States. Frequent co-authors include José R. Casar, Ana M. Bernardos, Jesús Garcı́a, Luca Bergesio, José M. Molina, Paula Tarrío, Antonio Berlanga, Javier Portillo, Enrique Casado and J. Orozco. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

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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