Marco Camurri

1.3k citations
23 papers · 681 indexed · h-index 14

Marco Camurri

22 papers receiving 665 citations

Peers

Marco Camurri
Comparison fields: 5 of 58
  • Geology 150
  • Aerospace Engineering 365
  • Computer Vision and Pattern Recognition 279
  • Human-Computer Interaction 37
  • Biomedical Engineering 265
Replace Michał Nowicki with:
Michał Nowicki Poland
Ivan Dryanovski United States
Aitor Aldomà Austria
Joan Solà Spain
Francisco J. Romero-Ramírez Spain
Cang Ye United States
Matthew Antone United States
Benjamin Busam Germany
Fengshui Jing China
Srikumar Ramalingam United States
Marco Camurri relative to Michał Nowicki Poland Michał Nowicki's profile →
Citations per field
00.5×1.5×2.5×
Michał Nowicki · 1×
Citations per year

Countries citing papers authored by Marco Camurri

Since Specialization
Citations

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

Fields of papers citing papers by Marco Camurri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 202314
5 2022100
6 20223
7 202245
8 2021100
9 202116
10 202069
11 201948
12
Fast and Continuous Foothold Adaptation for Dynamic Locomotion through Convolutional Neural Networks.
20181
13 201766
14 201736
15 201529
16 20157
17 20157
18 201433
19 201339
20
Urban Traffic Control with Co-Fields
20075

About Marco Camurri

Marco Camurri is a scholar working on Human-Computer Interaction, Geology and Aerospace Engineering, having authored 23 papers that have together received 681 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Robotic Locomotion and Control (10 papers), Indoor and Outdoor Localization Technologies (4 papers), Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers), Hand Gesture Recognition Systems (3 papers), Video Surveillance and Tracking Methods (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Geology (150 citations), Aerospace Engineering (365 citations) and Computer Vision and Pattern Recognition (279 citations). Marco Camurri has collaborated with scholars based in Italy, United Kingdom and Poland. Frequent co-authors include Maurice Fallon, David Wisth, Darwin G. Caldwell, Claudio Semini, Victor Barasuol, Rita Cucchiara, Milad Ramezani, Stéphane Bazeille, Roberto Vezzani and Michele Focchi. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Journal of Oceanic Engineering and Autonomous Robots.

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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