Valerio Modugno

444 citations
34 papers · 332 · h-index 10

Impact in

Papers in

Valerio Modugno

30 papers receiving 325 citations

Peers

Valerio Modugno
Comparison fields: 5 of 28
  • Control and Systems Engineering 177
  • Biomedical Engineering 117
  • Artificial Intelligence 68
  • Mechanical Engineering 52
  • Computer Vision and Pattern Recognition 20
Replace José Ramón Medina with:
José Ramón Medina Germany
Larry Jackel United States
Jesper Smith United States
Thomas Flayols France
Eric Whitman United States
Garth J. Zeglin United States
Mirko Ferrati Italy
Douglas Stephen United States
Pascal Weiner Germany
Kévin Chappellet France
Valerio Modugno relative to José Ramón Medina Germany José Ramón Medina's profile →
Citations per field
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Citations per year

Countries citing papers authored by Valerio Modugno

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Modugno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Valerio Modugno, 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 Valerio Modugno Line = papers co-authored together Valerio Modugno 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 201867
2 201935
3 201628
4 202122
5 201617
6 201916
7 202013
8 202113
9 202311
10 201810
11 202010
12 20239
13 20198
14 20208
15 20208
16 20237
17 20247
18 20166
19
An Online Learning Procedure for Feedback Linearization Control without Torque Measurements
20196
20 20155

About Valerio Modugno

Valerio Modugno is a scholar working on Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Waste Management and Disposal, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Robotic Locomotion and Control (9 papers), Advanced Control Systems Optimization (5 papers), Human Motion and Animation (4 papers), Robotic Mechanisms and Dynamics (3 papers), Adaptive Control of Nonlinear Systems (2 papers), Teleoperation and Haptic Systems (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (177 citations), Biomedical Engineering (117 citations), Artificial Intelligence (68 citations), Mechanical Engineering (52 citations) and Computer Vision and Pattern Recognition (20 citations). Valerio Modugno has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Giuseppe Oriolo, Serena Ivaldi, Luigi Penco, Leonardo Lanari, Jean-Baptiste Mouret, Daniele Pucci, Enrico Mingo Hoffman, Dimitrios Kanoulas, Petar S. Kormushev and Nikos G. Tsagarakis. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Control Systems Technology, IEEE Robotics & Automation Magazine, IEEE Access and IEEE Control Systems Letters.

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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