Marcin Marszałek

18 papers receiving 5.0k citations

Hit Papers

Learning realistic human actions from movies200820262014202020082008200950010001.5k2.0k

Peers

Marcin Marszałek
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 5.0k
  • Artificial Intelligence 2.2k
  • Biomedical Engineering 1.1k
  • Human-Computer Interaction 753
  • Signal Processing 172
Replace Alexander Kläser with:
Alexander Kläser China
Michael S. Ryoo United States
Basura Fernando Australia
Tieniu Tan China
Yongzhen Huang China
Q. Cai United States
Tian-Tsong Ng Singapore
Hilde Kuehne Germany
Pavlo Molchanov United States
Edmond Boyer France
Marcin Marszałek relative to Alexander Kläser China Alexander Kläser's profile →
Citations per field
00.5×1.7×
Alexander Kläser · 1×
Citations per year

Countries citing papers authored by Marcin Marszałek

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Marszałek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Marszałek

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 112
3 24
4
Oxford-IIIT TRECVID 2010 - Notebook paper.
1
5
Will person detection help bag-of-features action recognition?
30
6 89
7
Oxford-IIIT TRECVID 2009 - Notebook Paper
1
8
Actions in contextbreakdown →
779
9 64
10 13
11
Learning realistic human actions from moviesbreakdown →
2370
12
INRIA-LEAR'S Video Copy Detection System.
44
13
A Spatio-Temporal Descriptor Based on 3D-Gradientsbreakdown →
1259
14 70
15 169
16
Learning Object Representations for Visual Object Class Recognition
88
17 93
18
Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study
71
19 7

About Marcin Marszałek

Marcin Marszałek is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Animal Science and Zoology, having authored 19 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Human Pose and Action Recognition (8 papers) and Video Analysis and Summarization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.0k citations), Human-Computer Interaction (753 citations) and Artificial Intelligence (2.2k citations). Marcin Marszałek has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Cordelia Schmid, Ivan Laptev, C. Schmid, Ian Reid, Svetlana Lazebnik, Jianguo Zhang, Andrew Zisserman, Andrew Zisserman, Hedi Harzallah and Joost van de Weijer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Applied Animal Behaviour Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026