Edoardo Lamon

559 citations
28 papers · 357 · h-index 12

Impact in

Papers in

Edoardo Lamon

25 papers receiving 352 citations

Peers

Edoardo Lamon
Comparison fields: 5 of 44
  • Industrial and Manufacturing Engineering 119
  • Control and Systems Engineering 183
  • Human-Computer Interaction 20
  • Radiological and Ultrasound Technology 16
  • Social Psychology 62
Replace Andrea Casalino with:
Andrea Casalino Italy
Gregory Rossano United States
Ozgur S. Oguz Germany
Jānis Ārents Latvia
Mohamad Bdiwi Germany
Aaron Pereira Germany
Matteo Ragaglia Italy
Ivan Lundberg Switzerland
Aleš Vysocký Czechia
Kashish Gupta Canada
Edoardo Lamon relative to Andrea Casalino Italy Andrea Casalino's profile →
Citations per field
00.5×3.4×
Andrea Casalino · 1×
Citations per year

Countries citing papers authored by Edoardo Lamon

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Lamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 202343
3 202035
4 202224
5 202024
6 202023
7 202121
8 202119
9 201919
10 202318
11 202012
12 202011
13 20188
14 20237
15 20227
16 20226
17 20225
18 20235
19 20253
20 20243

About Edoardo Lamon

Edoardo Lamon is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 357 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Teleoperation and Haptic Systems (6 papers), Manufacturing Process and Optimization (5 papers), Soft Robotics and Applications (5 papers), Prosthetics and Rehabilitation Robotics (4 papers), Muscle activation and electromyography studies (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (119 citations), Control and Systems Engineering (183 citations), Human-Computer Interaction (20 citations), Radiological and Ultrasound Technology (16 citations) and Social Psychology (62 citations). Edoardo Lamon has collaborated with scholars based in Italy, China and Netherlands. Frequent co-authors include Arash Ajoudani, Wansoo Kim, Fabio Fusaro, Pietro Balatti, Luka Peternel, Elena De Momi, Marta Lorenzini, Fulvio Mastrogiovanni, Juan M. Gandarías and Yuqiang Wu. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Instrumentation and Measurement, Journal of Manufacturing Systems, IEEE Access and IEEE Transactions on Automation Science and Engineering.

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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