Roland Schweiger

444 citations
29 papers · 307 · h-index 12

Impact in

Papers in

Journals
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)

In The Last Decade

Roland Schweiger

28 papers receiving 286 citations

Peers

Roland Schweiger
Comparison fields: 5 of 54
  • Automotive Engineering 132
  • Computer Vision and Pattern Recognition 204
  • Artificial Intelligence 81
  • Aerospace Engineering 51
  • Instrumentation 7
Replace Srikanth Malla with:
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Antonio Prioletti Italy
Christophe Blanc France
Stefano Cattani Italy
Anselm Haselhoff Germany
Hendrik Deusch Germany
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Citations per field
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Citations per year

Countries citing papers authored by Roland Schweiger

Since Specialization
Citations

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

Fields of papers citing papers by Roland Schweiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Roland Schweiger, 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 Roland Schweiger Line = papers co-authored together Roland Schweiger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200645
2 201331
3 200625
4 200619
5 200718
6 200517
7 201617
8 200614
9 200614
10 200813
11 200913
12 201412
13 20139
14 20108
15 20128
16 20146
17 20116
18 20136
19 20075
20 20125

About Roland Schweiger

Roland Schweiger is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Artificial Intelligence and Ocean Engineering, having authored 29 papers that have together received 307 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Autonomous Vehicle Technology and Safety (10 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (5 papers), Infrared Target Detection Methodologies (4 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Automotive Engineering (132 citations), Computer Vision and Pattern Recognition (204 citations), Artificial Intelligence (81 citations), Aerospace Engineering (51 citations) and Instrumentation (7 citations). Roland Schweiger has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Klaus Dietmayer, Walter Ritter, Werner Ritter, Heiko Neumann, Albrecht Rothermel, Günther Palm, Dietrich Paulus, G. Palm, Richard Arndt and Hendrik P. A. Lensch. Their work appears in journals such as Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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