I.E. Paromtchik

31 total papers · 798 total citations
17 papers, 541 citations indexed

About

I.E. Paromtchik is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, I.E. Paromtchik has authored 17 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Control and Systems Engineering and 6 papers in Aerospace Engineering. Recurrent topics in I.E. Paromtchik's work include Robotic Path Planning Algorithms (13 papers), Control and Dynamics of Mobile Robots (11 papers) and Robotics and Sensor-Based Localization (6 papers). I.E. Paromtchik is often cited by papers focused on Robotic Path Planning Algorithms (13 papers), Control and Dynamics of Mobile Robots (11 papers) and Robotics and Sensor-Based Localization (6 papers). I.E. Paromtchik collaborates with scholars based in France, Japan and Russia. I.E. Paromtchik's co-authors include Christian Laugier, Mathias Perrollaz, Amaury Nègre, Kamel Mekhnacha, Christopher Tay, Yong Mao, John-David Yoder, Hajime Asama, Thierry Fraichard and A. Scheuer and has published in prestigious journals such as Robotics and Autonomous Systems, Autonomous Robots and IEEE Intelligent Transportation Systems Magazine.

In The Last Decade

I.E. Paromtchik

17 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
I.E. Paromtchik	338	289	270	203	80	17	541
Vishnu R. Desaraju	212 0.6×	261 0.9×	160 0.6×	104 0.5×	110 1.4×	22	544
John-David Yoder	205 0.6×	220 0.8×	119 0.4×	70 0.3×	104 1.3×	24	533
Thomas Schamm	335 1.0×	321 1.1×	217 0.8×	64 0.3×	125 1.6×	33	596
Guotao Xie	156 0.5×	397 1.4×	222 0.8×	148 0.7×	46 0.6×	24	600
Akshay Rangesh	230 0.7×	320 1.1×	85 0.3×	122 0.6×	34 0.4×	18	558
Sajjad Mozaffari	161 0.5×	364 1.3×	126 0.5×	157 0.8×	48 0.6×	15	590
Linhai Xu	214 0.6×	290 1.0×	144 0.5×	57 0.3×	115 1.4×	24	600
Reinhard Braunstingl	134 0.4×	168 0.6×	242 0.9×	105 0.5×	95 1.2×	35	465
Wenda Xu	290 0.9×	317 1.1×	165 0.6×	38 0.2×	103 1.3×	23	512
Marc Revilloud	292 0.9×	381 1.3×	191 0.7×	50 0.2×	84 1.1×	11	550

Countries citing papers authored by I.E. Paromtchik

Since Specialization

Citations

This map shows the geographic impact of I.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 I.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 I.E. Paromtchik more than expected).

Fields of papers citing papers by I.E. Paromtchik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I.E. Paromtchik

This figure shows the co-authorship network connecting the top 25 collaborators of I.E. Paromtchik. A scholar is included among the top collaborators of I.E. Paromtchik 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 I.E. Paromtchik. I.E. Paromtchik 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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