Víctor F. Muñoz

1.5k citations
64 papers · 746 indexed · h-index 15

Víctor F. Muñoz

61 papers receiving 696 citations

Peers

Víctor F. Muñoz
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 251
  • Geology 34
  • Building and Construction 80
  • Control and Systems Engineering 136
  • Biomedical Engineering 255
Replace Daniel Simões Lopes with:
Daniel Simões Lopes Portugal
Yohan Dupuis France
Andrea Vitali Italy
Ehsan Asadi Australia
Rémi Boutteau France
Xavier Savatier France
Thiusius Rajeeth Savarimuthu Denmark
Miguel Hernando Spain
Norbert Elkmann Germany
Jesús M. Gómez-de-Gabriel Spain
Víctor F. Muñoz relative to Daniel Simões Lopes Portugal Daniel Simões Lopes's profile →
Citations per field
00.5×2.8×
Daniel Simões Lopes · 1×
Citations per year

Countries citing papers authored by Víctor F. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Víctor F. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor F. Muñoz. 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 Víctor F. Muñoz. The network helps show where Víctor F. Muñoz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Víctor F. Muñoz, 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 Víctor F. Muñoz Line = papers co-authored together Víctor F. Muñoz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202214
4 20216
5 20213
6 201922
7 20197
8 20195
9 20163
10 20155
11 20151
12 201321
13 20138
14 20111
15 20107
16
Control Cartesiano de un Asistente Robótico Para Cirugía Laparoscópica
20092
17 20097
18
Risk analysis for fail-safe motion control implementation in surgical robotics
20041
19 200121
20 19997

About Víctor F. Muñoz

Víctor F. Muñoz is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering, Surgery and Human-Computer Interaction, having authored 64 papers that have together received 746 indexed citations. Recurring topics across this work include Soft Robotics and Applications (30 papers), Surgical Simulation and Training (28 papers), Augmented Reality Applications (20 papers), Robotic Path Planning Algorithms (12 papers), Teleoperation and Haptic Systems (9 papers), Robotic Mechanisms and Dynamics (8 papers), Minimally Invasive Surgical Techniques (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Geology (34 citations), Building and Construction (80 citations), Control and Systems Engineering (136 citations) and Biomedical Engineering (255 citations). Víctor F. Muñoz has collaborated with scholars based in Spain, Chile and Türkiye. Frequent co-authors include Anı́bal Ollero, Alfonso García-Cerezo, Carlos J. Pérez-del-Pulgar, Jesús M. Gómez-de-Gabriel, Yusuf Arayıcı, Anthony Mandow, Terrence Fernando, Carmen Lisboa, Jorge L. Martínez and A Leiva. Their work appears in journals such as Electronics, Advanced Robotics, Sensors, IEEE Systems Journal and Computer Methods and Programs in Biomedicine.

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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