Marcin Eichner

1.1k citations
10 papers · 501 · h-index 8

Impact in

Papers in

Marcin Eichner

10 papers receiving 473 citations

Peers

Marcin Eichner
Comparison fields: 5 of 61
  • Human-Computer Interaction 127
  • Computer Vision and Pattern Recognition 453
  • Media Technology 20
  • Artificial Intelligence 58
  • Biomedical Engineering 64
Replace Stephan Liwicki with:
Stephan Liwicki United Kingdom
Sikandar Amin Germany
Ravi Kiran Sarvadevabhatla India
Hosub Yoon South Korea
Kishor Sarawadekar India
Vicky Kalogeiton France
Lin Gui China
Byeongkeun Kang South Korea
Wen‐Kai Tai Taiwan
Ramprasad Polana United States
Marcin Eichner relative to Stephan Liwicki United Kingdom Stephan Liwicki's profile →
Citations per field
00.5×2.8×
Stephan Liwicki · 1×
Citations per year

Countries citing papers authored by Marcin Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Marcin Eichner, 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 Marcin Eichner Line = papers co-authored together Marcin Eichner links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012152
2 2009147
3 201384
4 200839
5 201230
6 201318
7 200714
8 201212
9 20253
10 20082

About Marcin Eichner

Marcin Eichner is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Civil and Structural Engineering and Ocean Engineering, having authored 10 papers that have together received 501 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Vision and Imaging (2 papers), Image Enhancement Techniques (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Vehicle License Plate Recognition (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Human-Computer Interaction (127 citations), Computer Vision and Pattern Recognition (453 citations), Media Technology (20 citations), Artificial Intelligence (58 citations) and Biomedical Engineering (64 citations). Marcin Eichner has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include Vittorio Ferrari, Andrew Zisserman, Manuel J. Marín‐Jiménez, Toby P. Breckon, Jiwan Han, C. V. Jawahar, Alaaeldin El-Nouby, Victor G. Turrisi da Costa, Joshua M. Susskind and Michal Klein. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Durham Research Online (Durham University), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Oxford University Research Archive (ORA) (University of Oxford).

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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