Stefan Gehrig

81 total papers · 2.0k total citations
46 papers, 914 citations indexed

About

Stefan Gehrig is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Economics and Econometrics. According to data from OpenAlex, Stefan Gehrig has authored 46 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Automotive Engineering and 8 papers in Economics and Econometrics. Recurrent topics in Stefan Gehrig's work include Advanced Vision and Imaging (15 papers), Autonomous Vehicle Technology and Safety (11 papers) and Robotics and Sensor-Based Localization (8 papers). Stefan Gehrig is often cited by papers focused on Advanced Vision and Imaging (15 papers), Autonomous Vehicle Technology and Safety (11 papers) and Robotics and Sensor-Based Localization (8 papers). Stefan Gehrig collaborates with scholars based in Germany, United Kingdom and United States. Stefan Gehrig's co-authors include Fridtjof Stein, Uwe Franke, Clemens Rabe, Sebastian Ramos, Carsten Rother, David Pfeiffer, Peter Pinggera, Heiko Hirschmüller, Lasse Loft and Jens Rommel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Management Science.

In The Last Decade

Stefan Gehrig

42 papers receiving 873 citations

Author Peers

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

Author Last Decade Papers Cites
Stefan Gehrig 534 275 151 119 71 46 914
Xiang He 180 0.3× 144 0.5× 210 1.4× 262 2.2× 19 0.3× 57 929
Muhammad Adnan 118 0.2× 292 1.1× 132 0.9× 176 1.5× 17 0.2× 80 966
Weili Zeng 373 0.7× 135 0.5× 273 1.8× 100 0.8× 171 2.4× 71 903
Shih‐Chung Kang 355 0.7× 64 0.2× 182 1.2× 100 0.8× 26 0.4× 43 1.1k
Jin Xiao 372 0.7× 43 0.2× 217 1.4× 99 0.8× 122 1.7× 146 1.1k
Liang Xiao 442 0.8× 440 1.6× 144 1.0× 66 0.6× 99 1.4× 59 931
Yu Bo 346 0.6× 172 0.6× 211 1.4× 139 1.2× 14 0.2× 65 1.0k
Dewei Yi 171 0.3× 218 0.8× 43 0.3× 103 0.9× 49 0.7× 31 925
Frédéric Maire 331 0.6× 49 0.2× 169 1.1× 66 0.6× 47 0.7× 84 1.2k
Zhiyu Zhou 342 0.6× 59 0.2× 65 0.4× 154 1.3× 58 0.8× 109 876

Countries citing papers authored by Stefan Gehrig

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Gehrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Gehrig

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