Marek Wydmuch

413 total citations
6 papers, 81 citations indexed

About

Marek Wydmuch is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marek Wydmuch has authored 6 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Civil and Structural Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Marek Wydmuch's work include Text and Document Classification Technologies (4 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Marek Wydmuch is often cited by papers focused on Text and Document Classification Technologies (4 papers), Machine Learning and Data Classification (3 papers) and Machine Learning and Algorithms (2 papers). Marek Wydmuch collaborates with scholars based in Poland, United States and Finland. Marek Wydmuch's co-authors include Wojciech Jaśkowski, Krzysztof Dembczyński, Rohit Babbar, Róbert Busa‐Fekete, Eyke Hüllermeier and Willem Waegeman and has published in prestigious journals such as IEEE Transactions on Games, arXiv (Cornell University) and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Marek Wydmuch

6 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marek Wydmuch Poland	4	71	15	9	8	8	6	81
Yunhui Long United States	5	122 1.7×	16 1.1×	12 1.3×	15 1.9×	3 0.4×	9	133
Bo-Hsiang Tseng United Kingdom	6	89 1.3×	18 1.2×	8 0.9×	2 0.3×	5 0.6×	16	102
Rajiv Mathews United States	7	90 1.3×	6 0.4×	11 1.2×	12 1.5×	9 1.1×	13	103
Chenglei Si United States	8	131 1.8×	25 1.7×	22 2.4×	6 0.8×	12 1.5×	13	159
Karan Malik India	3	31 0.4×	13 0.9×	11 1.2×	4 0.5×	12 1.5×	4	75
Alexandre Bérard France	6	96 1.4×	35 2.3×	5 0.6×	4 0.5×	13 1.6×	16	111
Kumar Shridhar Switzerland	7	75 1.1×	14 0.9×	10 1.1×	2 0.3×	4 0.5×	13	98
David Ifeoluwa Adelani Germany	6	68 1.0×	15 1.0×	5 0.6×	11 1.4×	3 0.4×	28	88
Onur Çelebi Burundi	4	104 1.5×	33 2.2×	10 1.1×	7 0.9×	8 1.0×	7	112
Sylvain Lamprier France	6	62 0.9×	15 1.0×	13 1.4×	3 0.4×	2 0.3×	15	80

Countries citing papers authored by Marek Wydmuch

Since Specialization

Citations

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

Fields of papers citing papers by Marek Wydmuch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Wydmuch

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Wydmuch, Marek, et al.. (2022). On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1547–1557. 14 indexed citations

2.

Wydmuch, Marek, et al.. (2021). Online probabilistic label trees. International Conference on Artificial Intelligence and Statistics. 1801–1809. 1 indexed citations

3.

Wydmuch, Marek, et al.. (2021). Propensity-scored Probabilistic Label Trees. arXiv (Cornell University). 2252–2256. 5 indexed citations

4.

Wydmuch, Marek, et al.. (2019). Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.. arXiv (Cornell University). 3 indexed citations

5.

Wydmuch, Marek, et al.. (2018). ViZDoom Competitions: Playing Doom From Pixels. IEEE Transactions on Games. 11(3). 248–259. 44 indexed citations

6.

Wydmuch, Marek, et al.. (2018). A no-regret generalization of hierarchical softmax to extreme multi-label classification. arXiv (Cornell University). 31. 6355–6366. 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.

Explore authors with similar magnitude of impact