Jérôme Guzzi

1.6k citations
28 papers · 743 · 1 hit paper · h-index 10

Impact in

Papers in

Jérôme Guzzi

26 papers receiving 710 citations

Jérôme Guzzi's Hit Papers

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots 2015 · 418 citations
4180+3+7Years since publication100200300400

Peers

Jérôme Guzzi
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 435
  • Aerospace Engineering 306
  • Human-Computer Interaction 46
  • Artificial Intelligence 197
  • Control and Systems Engineering 124
Replace Hriday Bavle with:
Hriday Bavle Spain
Douglas G. Macharet Brazil
Ivan Marković Croatia
Paulo Costa Portugal
M.C. Nechyba United States
Nicola Tomatis Switzerland
Paloma de la Puente Spain
Ramón A. Suárez Fernández Spain
N. Tomatis Switzerland
Max Bajracharya United States
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Citations per year

Countries citing papers authored by Jérôme Guzzi

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Guzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jérôme Guzzi, 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 Jérôme Guzzi Line = papers co-authored together Jérôme Guzzi 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
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
Hit paper breakdown →
2015418
2 201374
3 202244
4 201436
5 202033
6 201428
7 201513
8 202212
9 202210
10 202210
11 20189
12 20208
13 20186
14 20185
15 20135
16 20194
17 20183
18 20213
19 20233
20 20193

About Jérôme Guzzi

Jérôme Guzzi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience, having authored 28 papers that have together received 743 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Robotic Path Planning Algorithms (6 papers), Robot Manipulation and Learning (5 papers), Video Surveillance and Tracking Methods (5 papers), UAV Applications and Optimization (3 papers), Hand Gesture Recognition Systems (3 papers), Distributed Control Multi-Agent Systems (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Aerospace Engineering (306 citations), Human-Computer Interaction (46 citations), Artificial Intelligence (197 citations) and Control and Systems Engineering (124 citations). Jérôme Guzzi has collaborated with scholars based in Switzerland, Italy and Qatar. Frequent co-authors include Alessandro Giusti, Luca Maria Gambardella, Gianni A. Di, Dan Cireşan, Christian Förster, Davide Scaramuzza, J. Rodriguez, Jürgen Schmidhuber, Matthias Faessler and Flavio Fontana. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, Data in Brief, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) and Adaptive Agents and Multi-Agents Systems.

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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