N. Tomatis

1.2k citations
25 papers · 997 · h-index 15

Impact in

Papers in

N. Tomatis

24 papers receiving 924 citations

Peers

N. Tomatis
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 587
  • Aerospace Engineering 607
  • Geology 89
  • Control and Systems Engineering 236
  • Instrumentation 24
Replace Nicola Tomatis with:
Nicola Tomatis Switzerland
Piotr Skrzypczyński Poland
J.-S. Gutmann Japan
Slawomir Grzonka Germany
John G. Rogers United States
Huimin Lu China
Johannes Meyer Germany
Yoshiaki Shirai Japan
Stefan Kohlbrecher Germany
Nakju Lett Doh South Korea
N. Tomatis relative to Nicola Tomatis Switzerland Nicola Tomatis's profile →
Citations per field
00.5×2×3×3.7×
Nicola Tomatis · 1×
Citations per year

Countries citing papers authored by N. Tomatis

Since Specialization
Citations

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

Fields of papers citing papers by N. Tomatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005265
2 2012116
3 200380
4 201378
5 200569
6 200469
7 200239
8 200435
9 200335
10 200232
11 200230
12 200329
13 200425
14 200520
15 200318
16 200412
17 200511
18 200411
19 20029
20 20044

About N. Tomatis

N. Tomatis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 25 papers that have together received 997 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Robotic Path Planning Algorithms (15 papers), Modular Robots and Swarm Intelligence (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Control and Dynamics of Mobile Robots (3 papers), Robotics and Automated Systems (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (587 citations), Aerospace Engineering (607 citations), Geology (89 citations), Control and Systems Engineering (236 citations) and Instrumentation (24 citations). N. Tomatis has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Roland Siegwart, Agostino Martinelli, Kai O. Arras, Văn Đức Nguyễn, Adriana Tapus, Jan Persson, B. Jensen, Andrzej Drygajlo, L. Mayor and Illah Nourbakhsh. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Springer tracts in advanced robotics, Repository for Publications and Research Data (ETH Zurich), University of Twente Research Information and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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