Marcin Eichner

1.1k citations
10 papers · 494 · h-index 8

Impact in

Papers in

Marcin Eichner

9 papers receiving 466 citations

Peers

Marcin Eichner
Comparison fields: 5 of 61
  • Human-Computer Interaction 125
  • Computer Vision and Pattern Recognition 448
  • Media Technology 20
  • Artificial Intelligence 57
  • Biomedical Engineering 63
Replace Stephan Liwicki with:
Stephan Liwicki United Kingdom
Ashwin Thangali United States
Byeongkeun Kang South Korea
Hacer Yalım Keleş Türkiye
Ravi Kiran Sarvadevabhatla India
Beibei Liu China
Vicky Kalogeiton France
Ramprasad Polana United States
Yeong-Khing Ho Singapore
Sikandar Amin Germany
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 2009145
3 201383
4 200839
5 201228
6 201318
7 200714
8 201212
9 20082
10 20251

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 494 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Vision and Imaging (2 papers), Advanced Chemical Sensor Technologies (1 paper), 3D Shape Modeling and Analysis (1 paper), Automated Road and Building Extraction (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (125 citations), Computer Vision and Pattern Recognition (448 citations), Media Technology (20 citations), Artificial Intelligence (57 citations) and Biomedical Engineering (63 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, Victor G. Turrisi da Costa, Philipp Dufter, Michal Klein and Zhe Gan. 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), Edinburgh Research Explorer 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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