Karol Kurach

30 total papers · 1.3k total citations
8 papers, 178 citations indexed

About

Karol Kurach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Karol Kurach has authored 8 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Karol Kurach's work include Generative Adversarial Networks and Image Synthesis (2 papers), Neural Networks and Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Karol Kurach is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Neural Networks and Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Karol Kurach collaborates with scholars based in United States, Switzerland and Poland. Karol Kurach's co-authors include Tobias Kaufmann, Andrew Tomkins, Miklós Bálint, Greg S. Corrado, Peter Young, Vivek Ramavajjala, Anjuli Kannan, Lukács László, Sjoerd van Steenkiste and Sylvain Gelly and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Networks and arXiv (Cornell University).

In The Last Decade

Karol Kurach

8 papers receiving 170 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karol Kurach	88	49	36	17	17	8	178
Lukács László	85 1.0×	22 0.4×	46 1.3×	17 1.0×	17 1.0×	7	150
Ángel Alexander Cabrera	93 1.1×	38 0.8×	24 0.7×	16 0.9×	11 0.6×	8	170
Richard G. McDaniel	48 0.5×	36 0.7×	45 1.3×	41 2.4×	10 0.6×	13	195
Nelson Minar	39 0.4×	71 1.4×	35 1.0×	40 2.4×	12 0.7×	6	192
Mina Lee	163 1.9×	27 0.6×	46 1.3×	28 1.6×	11 0.6×	10	249
Thomas Rodriguez	94 1.1×	25 0.5×	48 1.3×	60 3.5×	23 1.4×	9	254
Nick Cramer	79 0.9×	126 2.6×	18 0.5×	8 0.5×	14 0.8×	10	178
Rickard Cöster	88 1.0×	34 0.7×	80 2.2×	37 2.2×	6 0.4×	15	218
Ellen Jiang	135 1.5×	54 1.1×	59 1.6×	19 1.1×	15 0.9×	6	267
Kevin McDonald	77 0.9×	153 3.1×	53 1.5×	15 0.9×	14 0.8×	9	260

Countries citing papers authored by Karol Kurach

Since Specialization

Citations

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

Fields of papers citing papers by Karol Kurach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Kurach

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

All Works

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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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