Adrián Martín

31 papers receiving 457 citations

Peers

Adrián Martín
Comparison fields: 5 of 94
  • Radiology, Nuclear Medicine and Imaging 170
  • Computer Vision and Pattern Recognition 81
  • Control and Systems Engineering 78
  • Biomedical Engineering 72
  • Cognitive Neuroscience 64
Replace Jun‐Young Chung with:
Jun‐Young Chung South Korea
Kunihiro Chihara Japan
Irene S. Karanasiou Greece
Wenchuan Wu China
Laleh Najafizadeh United States
Maximilian Schulz Germany
Zhu Shan-an China
Laurent Giovangrandi United States
Mingxin Yu China
Adrián Martín relative to Jun‐Young Chung South Korea Jun‐Young Chung's profile →
Citations per field
00.5×3.5×
Jun‐Young Chung · 1×
Citations per year

Countries citing papers authored by Adrián Martín

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrián Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Martín. A scholar is included among the top collaborators of Adrián Martín 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 Adrián Martín. Adrián Martín 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 5
2 1
3 19
4 25
5
Using Player's Body-Orientation to Model Pass Feasibility in Soccer
16
6 4
7 5
8 8
9 18
10 12
11
Jacques Rivette: The great manipulator
0
12 9
13 32
14 2
15 1
16 7
17
Control AD Libitum : An approach to real-time construction of control systems for unstructured robotic teams
2
18 3
19 5
20 23

About Adrián Martín

Adrián Martín is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Real-time simulation and control systems (6 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (170 citations), Computer Vision and Pattern Recognition (81 citations) and Control and Systems Engineering (78 citations). Adrián Martín has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include M. Reza Emami, Emanuele Schiavi, Elfar Adalsteinsson, Juan A. Hernández‐Tamames, Lawrence L. Wald, Yiğitcan Eryaman, Marcelo Bertalmı́o, J. L. Herraiz, Jesús Malo and Bastien Guérin. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Neuroscience.

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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