Uriel Martínez-Hernández

78 papers receiving 1.2k citations

Peers

Uriel Martínez-Hernández
Comparison fields: 5 of 108
  • Biomedical Engineering 581
  • Cognitive Neuroscience 312
  • Control and Systems Engineering 253
  • Computer Vision and Pattern Recognition 222
  • Artificial Intelligence 188
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Estela Bicho Portugal
Mohd Azizi Abdul Rahman Malaysia
Emanuele Lindo Secco United Kingdom
Hikaru Inooka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Uriel Martínez-Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Uriel Martínez-Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uriel Martínez-Hernández. 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 Uriel Martínez-Hernández. The network helps show where Uriel Martínez-Hernández may publish in the future.

Co-authorship network of co-authors of Uriel Martínez-Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of Uriel Martínez-Hernández. A scholar is included among the top collaborators of Uriel Martínez-Hernández 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 Uriel Martínez-Hernández. Uriel Martínez-Hernández 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 16
2 0
3 2
4 1
5 4
6 4
7 10
8 4
9 17
10 5
11 8
12 6
13 32
14 9
15 25
16
Human-activity-centered measurement system: challenges from laboratory to the real environment in assistive gait wearable robotics
2
17 68
18 58
19 10
20
Framing Factors: The Importance of Context and the Individual in Understanding Trust in Human-Robot Interaction
17

About Uriel Martínez-Hernández

Uriel Martínez-Hernández is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Human-Computer Interaction and Cognitive Neuroscience, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (18 papers), Robot Manipulation and Learning (16 papers) and Muscle activation and electromyography studies (13 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (120 citations), Human-Computer Interaction (108 citations) and Cognitive Neuroscience (312 citations). Uriel Martínez-Hernández has collaborated with scholars based in United Kingdom, Mexico and Italy. Frequent co-authors include Tony J. Prescott, Abbas A. Dehghani-Sanij, Nathan F. Lepora, Tony J. Dodd, Giorgio Metta, Kamran Mumtaz, C. Pinna, Mathew H. Evans, George Panoutsos and Lorenzo Natale. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Sensors and IEEE Transactions on Fuzzy Systems.

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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