Karol Zieba

8 total papers · 3.3k total citations
4 papers, 96 citations indexed

About

Karol Zieba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Karol Zieba has authored 4 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Karol Zieba's work include Advanced Neural Network Applications (2 papers), Cell Image Analysis Techniques (1 paper) and Spacecraft Dynamics and Control (1 paper). Karol Zieba is often cited by papers focused on Advanced Neural Network Applications (2 papers), Cell Image Analysis Techniques (1 paper) and Spacecraft Dynamics and Control (1 paper). Karol Zieba collaborates with scholars based in United States. Karol Zieba's co-authors include Krzysztof Choromański, Mariusz Bojarski, Bernhard Firner, Urs Müller, Anna Choromanska, Larry Jackel, Margaret J. Eppstein, Darren L. Hitt and Josh Bongard and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Karol Zieba

3 papers receiving 93 citations

Author Peers

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

Author						Papers	Cites
Karol Zieba	58	49	36	7	7	4	96
Błażej Osiński	34 0.6×	28 0.6×	41 1.1×	11 1.6×	8 1.1×	5	72
Gurkirt Singh	46 0.8×	71 1.4×	21 0.6×	3 0.4×	2 0.3×	6	98
Zhang-Wei Hong	52 0.9×	64 1.3×	16 0.4×	12 1.7×	13 1.9×	7	91
Huaxia Xia	18 0.3×	45 0.9×	23 0.6×	8 1.1×	4 0.6×	5	74
Joshua Romoff	75 1.3×	15 0.3×	15 0.4×	13 1.9×	7 1.0×	4	113
Bao Xin Chen	47 0.8×	69 1.4×	7 0.2×	6 0.9×	17 2.4×	6	110
Julie Dequaire	18 0.3×	53 1.1×	24 0.7×	4 0.6×	21 3.0×	2	75
Simon Hecker	37 0.6×	81 1.7×	11 0.3×	9 1.3×	23 3.3×	5	115
Frederik Diehl	45 0.8×	45 0.9×	54 1.5×	29 4.1×	7 1.0×	4	116
Stefan Breuers	23 0.4×	80 1.6×	18 0.5×	12 1.7×	22 3.1×	3	104

Countries citing papers authored by Karol Zieba

Since Specialization

Citations

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

Fields of papers citing papers by Karol Zieba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Zieba

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Zieba. A scholar is included among the top collaborators of Karol Zieba 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 Zieba. Karol Zieba 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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