Marta C. Mora

32 papers receiving 301 citations

Peers

Marta C. Mora
Comparison fields: 5 of 68
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 108
  • Control and Systems Engineering 99
  • Rehabilitation 21
  • Computer Science Applications 16
Replace Aleksandar Rodić with:
Aleksandar Rodić Serbia
Hiroyuki Masuta Japan
Stefano Michieletto Italy
Siddarth Jain United States
Georgia Chalvatzaki Germany
K. Dawson‐Howe Ireland
Mohamed Boukattaya Tunisia
Itthisek Nilkhamhang Thailand
Shady A. Maged Egypt
Luis Figueredo Brazil
Marta C. Mora relative to Aleksandar Rodić Serbia Aleksandar Rodić's profile →
Citations per field
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Aleksandar Rodić · 1×
Citations per year

Countries citing papers authored by Marta C. Mora

Since Specialization
Citations

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

Fields of papers citing papers by Marta C. Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta C. Mora. 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 Marta C. Mora. The network helps show where Marta C. Mora may publish in the future.

Co-authors

The 18 scholars most cited alongside Marta C. Mora, 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 Marta C. Mora Line = papers co-authored together Marta C. Mora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 200732
3 201223
4 200823
5 201222
6 201615
7 201215
8 202112
9 201411
10 201710
11 20209
12 20129
13 20049
14 20079
15 20118
16 20227
17 20117
18 20207
19 20245
20
Supervisión, Teleoperación y Navegación de Vehículos Industriales y su Integración en el Sistema de Gestión
20104

About Marta C. Mora

Marta C. Mora is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Aerospace Engineering, having authored 34 papers that have together received 310 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Muscle activation and electromyography studies (5 papers), Robotic Mechanisms and Dynamics (5 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Control and Dynamics of Mobile Robots (4 papers), Tensor decomposition and applications (3 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (108 citations), Control and Systems Engineering (99 citations), Rehabilitation (21 citations) and Computer Science Applications (16 citations). Marta C. Mora has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Josep Tornero, Nicolás Montés, Joaquín L. Sancho-Bru, Antonio Pérez-González, Verónica Gracia-Ibáñez, Antonio Falcó, Margarita Vergara, Leopoldo Armesto, Antonio Morales and Beatriz León. Their work appears in journals such as Sensors, Journal of Computational and Applied Mathematics, IEEE Transactions on Intelligent Transportation Systems, Journal of Hand Therapy and Applied Sciences.

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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