Antonio Morales

1.7k citations
58 papers · 1.0k indexed · 1 hit paper · h-index 19

Antonio Morales

57 papers receiving 971 citations

Hit Papers

Deep Learning Approaches to Grasp Synthesis: A Review1142023202620242025255075100

Peers

Antonio Morales
Comparison fields: 5 of 79
  • Control and Systems Engineering 814
  • Human-Computer Interaction 89
  • Biomedical Engineering 514
  • Computer Vision and Pattern Recognition 208
  • Cognitive Neuroscience 138
Replace Clemens Eppner with:
Clemens Eppner Germany
Kaiyu Hang United States
Renaud Detry Belgium
Sven Parusel Germany
Berthold Bäuml Germany
Aaron Walsman United States
Christoph Borst Germany
Steffen Knoop Germany
Anis Sahbani France
Yiannis Karayiannidis Sweden
Antonio Morales relative to Clemens Eppner Germany Clemens Eppner's profile →
Citations per field
00.5×1.5×
Clemens Eppner · 1×
Citations per year

Countries citing papers authored by Antonio Morales

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20191
3 201723
4 20176
5 201717
6 20164
7 20144
8 20149
9 201222
10 201224
11 201224
12 201165
13 20105
14 20104
15 200954
16 200658
17
Active learning for robot manipulation
20045
18 200414
19 200334
20 20026

About Antonio Morales

Antonio Morales is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Biomedical Engineering, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (45 papers), Soft Robotics and Applications (15 papers), Muscle activation and electromyography studies (12 papers), Robotic Mechanisms and Dynamics (11 papers), Robotics and Sensor-Based Localization (8 papers), Robotic Locomotion and Control (7 papers), Reinforcement Learning in Robotics (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Control and Systems Engineering (814 citations), Human-Computer Interaction (89 citations) and Biomedical Engineering (514 citations). Antonio Morales has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ángel P. del Pobil, Eris Chinellato, Pedro J. Sanz, Beatriz León, Andrew H. Fagg, Tamim Asfour, Joaquín L. Sancho-Bru, Robert B. Fisher, Jeannette Bohg and Danica Kragić. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing and IEEE Transactions on Robotics.

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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