Nicola Tomatis

32 total papers · 1.2k total citations
17 papers, 773 citations indexed

About

Nicola Tomatis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Nicola Tomatis has authored 17 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Nicola Tomatis's work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (13 papers) and Robotics and Automated Systems (5 papers). Nicola Tomatis is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (13 papers) and Robotics and Automated Systems (5 papers). Nicola Tomatis collaborates with scholars based in Switzerland, United States and France. Nicola Tomatis's co-authors include Roland Siegwart, Agostino Martinelli, Illah Nourbakhsh, Viet Nguyen, Kai O. Arras, B. Jensen, Stefan Gächter, R. Piguet, Daniel Burnier and Samir Bouabdallah and has published in prestigious journals such as Robotics and Autonomous Systems, Autonomous Robots and IEEE Robotics & Automation Magazine.

In The Last Decade

Nicola Tomatis

17 papers receiving 689 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicola Tomatis 474 455 196 138 134 17 773
N. Tomatis 436 0.9× 447 1.0× 155 0.8× 120 0.9× 127 0.9× 21 716
Paloma de la Puente 398 0.8× 424 0.9× 132 0.7× 145 1.1× 82 0.6× 32 713
Uwe Klingauf 423 0.9× 666 1.5× 180 0.9× 68 0.5× 205 1.5× 41 890
Naoki Akai 402 0.8× 406 0.9× 167 0.9× 88 0.6× 151 1.1× 62 816
Yoichi Morales 341 0.7× 231 0.5× 210 1.1× 102 0.7× 115 0.9× 41 863
Gustavo Velasco-Hernandez 244 0.5× 165 0.4× 139 0.7× 113 0.8× 149 1.1× 14 847
Wendelin Feiten 564 1.2× 446 1.0× 237 1.2× 105 0.8× 87 0.6× 21 781
Javier Ibañez‐Guzmán 298 0.6× 266 0.6× 130 0.7× 144 1.0× 157 1.2× 61 862
Jérôme Guzzi 432 0.9× 305 0.7× 122 0.6× 196 1.4× 70 0.5× 28 732
John G. Rogers 523 1.1× 536 1.2× 143 0.7× 133 1.0× 123 0.9× 60 892

Countries citing papers authored by Nicola Tomatis

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Tomatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Tomatis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Tomatis. A scholar is included among the top collaborators of Nicola Tomatis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicola Tomatis. Nicola Tomatis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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