Davide Bicego

944 citations
14 papers · 489 · h-index 8

Impact in

Papers in

Davide Bicego

14 papers receiving 468 citations

Peers

Davide Bicego
Comparison fields: 5 of 39
  • Control and Systems Engineering 286
  • Computer Vision and Pattern Recognition 239
  • Aerospace Engineering 224
  • Mechanical Engineering 124
  • Computer Networks and Communications 72
Replace Victor M. Vega with:
Victor M. Vega Spain
Lucio R. Salinas Argentina
Michael Shomin United States
Hyunsoo Yang South Korea
Tomoki Anzai Japan
Giuseppe Muscio Italy
Quentin Sablé Netherlands
Salua Hamaza Netherlands
Fan Shi Japan
Elisabetta Cataldi Italy
Davide Bicego relative to Victor M. Vega Spain Victor M. Vega's profile →
Citations per field
00.5×1.5×2.3×
Victor M. Vega · 1×
Citations per year

Countries citing papers authored by Davide Bicego

Since Specialization
Citations

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

Fields of papers citing papers by Davide Bicego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019133
2 2019122
3 2016113
4
202229
5 201823
6 202222
7 201818
8 20217
9 20226
10 20215
11 20185
12 20184
13 20221
14 20221

About Davide Bicego

Davide Bicego is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering, having authored 14 papers that have together received 489 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), Soft Robotics and Applications (5 papers), Robotic Path Planning Algorithms (5 papers), Teleoperation and Haptic Systems (4 papers), Robot Manipulation and Learning (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Control Systems Optimization (2 papers) and Dynamics and Control of Mechanical Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (286 citations), Computer Vision and Pattern Recognition (239 citations), Aerospace Engineering (224 citations), Mechanical Engineering (124 citations) and Computer Networks and Communications (72 citations). Davide Bicego has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Antonio Franchi, Markus Ryll, Giuseppe Muscio, Elisabetta Cataldi, Fabrizio Caccavale, Francesco Pierri, Gianluca Antonelli, Marco Tognon, Juan Cortés and Quentin Sablé. Their work appears in journals such as IEEE Robotics & Automation Magazine, Applied Sciences, Journal of Intelligent & Robotic Systems, IEEE Robotics and Automation Letters and The International Journal of Robotics Research.

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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