Daniel Sidobre

774 citations
28 papers · 428 · h-index 11

Impact in

Papers in

Daniel Sidobre

28 papers receiving 414 citations

Peers

Daniel Sidobre
Comparison fields: 5 of 45
  • Control and Systems Engineering 319
  • Computer Vision and Pattern Recognition 199
  • Social Psychology 91
  • Human-Computer Interaction 20
  • Industrial and Manufacturing Engineering 29
Replace Robert Krug with:
Robert Krug Sweden
Jim Mainprice United States
Claudia Pérez-D’Arpino United States
Mirko Wächter Germany
Andreas Kargakos Greece
Fumio Ozaki Japan
Melonee Wise United States
Florian Schmidt Germany
Flavio Robertí Argentina
Georges Giralt France
Daniel Sidobre relative to Robert Krug Sweden Robert Krug's profile →
Citations per field
00.5×2.6×
Robert Krug · 1×
Citations per year

Countries citing papers authored by Daniel Sidobre

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sidobre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Sidobre, 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 Daniel Sidobre Line = papers co-authored together Daniel Sidobre 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 201085
2 200885
3 201049
4 201135
5 201827
6 201023
7 200622
8 201515
9 200410
10 202210
11 201410
12 20088
13 20238
14
Grasp Planning for Interactive Object Manipulation
20086
15 20146
16 20225
17 20205
18 20194
19 20242
20 20182

About Daniel Sidobre

Daniel Sidobre is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Social Psychology and Aerospace Engineering, having authored 28 papers that have together received 428 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (18 papers), Robot Manipulation and Learning (17 papers), Robotic Mechanisms and Dynamics (13 papers), Teleoperation and Haptic Systems (4 papers), Social Robot Interaction and HRI (4 papers), Control and Dynamics of Mobile Robots (3 papers), Robotics and Sensor-Based Localization (2 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (319 citations), Computer Vision and Pattern Recognition (199 citations), Social Psychology (91 citations), Human-Computer Interaction (20 citations) and Industrial and Manufacturing Engineering (29 citations). Daniel Sidobre has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Rachid Alami, Luis F. Marín-Urías, Emrah Akin Sisbot, Jean‐Claude Saut, Mohamed Gharbi, Juan Cortés, Thierry Siméon, Ran Zhao, Vincent Hayward and Ran Zhao. Their work appears in journals such as Robotica, International Journal of Social Robotics, Robotics and Autonomous Systems, Journal of Intelligent & Robotic Systems and Measurement Science and Technology.

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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