Marcin Eichner

1.1k total citations
10 papers, 494 citations indexed

About

Marcin Eichner is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Marcin Eichner has authored 10 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Marcin Eichner's work include Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Marcin Eichner is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Marcin Eichner collaborates with scholars based in United Kingdom, Switzerland and Spain. Marcin Eichner's co-authors include Vittorio Ferrari, Andrew Zisserman, Manuel J. Marín‐Jiménez, Toby P. Breckon, Jiwan Han, C. V. Jawahar, Philipp Dufter, Alexander Toshev, Enrico Fini and Xiujun Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Durham Research Online (Durham University).

In The Last Decade

Marcin Eichner

9 papers receiving 466 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marcin Eichner United Kingdom	8	448	125	63	57	28	10	494
Stephan Liwicki United Kingdom	9	264 0.6×	112 0.9×	44 0.7×	58 1.0×	24 0.9×	18	361
Ashwin Thangali United States	8	278 0.6×	160 1.3×	67 1.1×	60 1.1×	18 0.6×	12	349
Sikandar Amin Germany	8	457 1.0×	59 0.5×	66 1.0×	69 1.2×	32 1.1×	9	507
Hacer Yalım Keleş Türkiye	8	358 0.8×	222 1.8×	139 2.2×	74 1.3×	14 0.5×	31	521
Lin Gui China	3	461 1.0×	90 0.7×	74 1.2×	54 0.9×	78 2.8×	4	530
Vicky Kalogeiton France	10	242 0.5×	39 0.3×	54 0.9×	78 1.4×	25 0.9×	25	343
R. Rosales United States	7	381 0.9×	141 1.1×	57 0.9×	60 1.1×	98 3.5×	8	436
Hosub Yoon South Korea	11	179 0.4×	87 0.7×	33 0.5×	71 1.2×	50 1.8×	31	324
Ramprasad Polana United States	7	478 1.1×	53 0.4×	153 2.4×	140 2.5×	23 0.8×	7	537
Bong-Kee Sin South Korea	9	266 0.6×	156 1.2×	73 1.2×	90 1.6×	51 1.8×	28	392

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-authorship network of co-authors of Marcin Eichner

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Eichner. A scholar is included among the top collaborators of Marcin Eichner 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 Marcin Eichner. Marcin Eichner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Fini, Enrico, Xiujun Li, Philipp Dufter, et al.. (2025). Multimodal Autoregressive Pre-training of Large Vision Encoders. 9641–9654. 1 indexed citations

Breckon, Toby P., et al.. (2013). Multi-modal target detection for autonomous wide area search and surveillance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8899. 889913–889913. 18 indexed citations

Marín‐Jiménez, Manuel J., Andrew Zisserman, Marcin Eichner, & Vittorio Ferrari. (2013). Detecting People Looking at Each Other in Videos. International Journal of Computer Vision. 106(3). 282–296. 83 indexed citations

Eichner, Marcin & Vittorio Ferrari. (2012). Human Pose Co-Estimation and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(11). 2282–2288. 28 indexed citations

Eichner, Marcin, Manuel J. Marín‐Jiménez, Andrew Zisserman, & Vittorio Ferrari. (2012). 2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images. International Journal of Computer Vision. 99(2). 190–214. 152 indexed citations

Zisserman, Andrew, et al.. (2012). Video retrieval by mimicking poses. 1–8. 12 indexed citations

Eichner, Marcin & Vittorio Ferrari. (2009). Better appearance models for pictorial structures. Edinburgh Research Explorer. 3.1–3.11. 145 indexed citations

Eichner, Marcin & Toby P. Breckon. (2008). Augmenting GPS speed limit monitoring with road side visual information. 23–23. 2 indexed citations

Eichner, Marcin & Toby P. Breckon. (2008). Integrated speed limit detection and recognition from real-time video. Durham Research Online (Durham University). 626–631. 39 indexed citations

10.

Eichner, Marcin & Toby P. Breckon. (2007). Real-time video analysis for vehicle lights detection using temporal information. Durham Research Online (Durham University). 2007. 15–15. 14 indexed citations

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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