Igor E. Paromtchik

22 papers receiving 578 citations

Peers

Igor E. Paromtchik
Comparison fields: 5 of 42
  • Automotive Engineering 329
  • Computer Vision and Pattern Recognition 387
  • Building and Construction 223
  • Control and Systems Engineering 296
  • Safety, Risk, Reliability and Quality 88
Replace Thomas Schamm with:
Thomas Schamm Germany
Amaury Nègre France
Florian Kuhnt Germany
François Aioun France
Véronique Cherfaoui France
Christopher Tay France
Pan Zhao China
Guotao Xie China
Long Xin China
Franck Guillemard France
Igor E. Paromtchik relative to Thomas Schamm Germany Thomas Schamm's profile →
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Citations per year

Countries citing papers authored by Igor E. Paromtchik

Since Specialization
Citations

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

Fields of papers citing papers by Igor E. Paromtchik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor E. Paromtchik. 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 Igor E. Paromtchik. The network helps show where Igor E. Paromtchik may publish in the future.

Co-authors

The 20 scholars most cited alongside Igor E. Paromtchik, 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 Igor E. Paromtchik Line = papers co-authored together Igor E. Paromtchik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 2002102
3 200277
4 199953
5 200219
6 200219
7 200317
8 200215
9 200214
10 200212
11 200210
12 19989
13
Reactive Motion Control for an Omnidirectional Mobile Robot
19957
14 20134
15 20103
16 20063
17 20033
18
Integration of visual and depth information for vehicle detection
20113
19 20022
20 20062

About Igor E. Paromtchik

Igor E. Paromtchik is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering, Aerospace Engineering and Building and Construction, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Control and Dynamics of Mobile Robots (12 papers), Robotics and Sensor-Based Localization (9 papers), Autonomous Vehicle Technology and Safety (6 papers), Distributed Control Multi-Agent Systems (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Smart Parking Systems Research (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Automotive Engineering (329 citations), Computer Vision and Pattern Recognition (387 citations), Building and Construction (223 citations), Control and Systems Engineering (296 citations) and Safety, Risk, Reliability and Quality (88 citations). Igor E. Paromtchik has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Christian Laugier, Mathias Perrollaz, Amaury Nègre, Christopher Tay, John-David Yoder, Kamel Mekhnacha, Hajime Asama, Thierry Fraichard, A. Scheuer and Ulrich Rembold. Their work appears in journals such as Springer tracts in advanced robotics, Lecture notes in control and information sciences, IEEE Intelligent Transportation Systems Magazine, Robotics and Autonomous Systems 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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