Wendelin Feiten

41 total papers · 1.2k total citations
21 papers, 781 citations indexed

About

Wendelin Feiten is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Wendelin Feiten has authored 21 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Wendelin Feiten's work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (11 papers) and Robot Manipulation and Learning (6 papers). Wendelin Feiten is often cited by papers focused on Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (11 papers) and Robot Manipulation and Learning (6 papers). Wendelin Feiten collaborates with scholars based in Germany, Austria and United States. Wendelin Feiten's co-authors include Frank Hoffmann, Torsten Bertram, Gisbert Lawitzky, Michael Bosse, John J. Leonard, Seth Teller, Christoph Rösmann, M. Lang, Georg von Wichert and Sandra Hirche and has published in prestigious journals such as Robotics and Autonomous Systems, Cybernetics & Systems and mediaTUM (Technical University of Munich).

In The Last Decade

Wendelin Feiten

20 papers receiving 725 citations

Author Peers

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

Author						Papers	Cites
Wendelin Feiten	564	446	237	105	96	21	781
Patrick Beeson	510 0.9×	414 0.9×	265 1.1×	123 1.2×	88 0.9×	18	833
Ladislav Jurišica	550 1.0×	354 0.8×	225 0.9×	91 0.9×	55 0.6×	15	736
Roland Philippsen	413 0.7×	274 0.6×	230 1.0×	87 0.8×	77 0.8×	32	625
Peter Beňo	507 0.9×	305 0.7×	205 0.9×	81 0.8×	39 0.4×	20	699
Tung Dang	637 1.1×	680 1.5×	130 0.5×	73 0.7×	77 0.8×	22	871
Nicola Tomatis	474 0.8×	455 1.0×	196 0.8×	138 1.3×	39 0.4×	17	773
M.C. Nechyba	357 0.6×	353 0.8×	227 1.0×	164 1.6×	72 0.8×	41	883
Luqi Wang	549 1.0×	469 1.1×	175 0.7×	71 0.7×	53 0.6×	24	729
Jérôme Guzzi	432 0.8×	305 0.7×	122 0.5×	196 1.9×	56 0.6×	28	732
Carlo Masone	456 0.8×	403 0.9×	239 1.0×	62 0.6×	65 0.7×	39	785

Countries citing papers authored by Wendelin Feiten

Since Specialization

Citations

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

Fields of papers citing papers by Wendelin Feiten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wendelin Feiten

This figure shows the co-authorship network connecting the top 25 collaborators of Wendelin Feiten. A scholar is included among the top collaborators of Wendelin Feiten 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 Wendelin Feiten. Wendelin Feiten 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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