Filip Železný

123 total papers · 1.4k total citations
48 papers, 578 citations indexed

About

Filip Železný is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Filip Železný has authored 48 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Molecular Biology and 11 papers in Computational Theory and Mathematics. Recurrent topics in Filip Železný's work include Data Mining Algorithms and Applications (9 papers), Gene expression and cancer classification (9 papers) and Semantic Web and Ontologies (7 papers). Filip Železný is often cited by papers focused on Data Mining Algorithms and Applications (9 papers), Gene expression and cancer classification (9 papers) and Semantic Web and Ontologies (7 papers). Filip Železný collaborates with scholars based in Czechia, United States and Slovenia. Filip Železný's co-authors include Nada Lavrač, Ondřej Kuželka, Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Jakub Tolar, Jǐŕı Kléma, Steven Schockaert, Dragan Gamberger and Ashwin Srinivasan and has published in prestigious journals such as BMC Bioinformatics, Transplantation and BMC Genomics.

In The Last Decade

Filip Železný

44 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
Filip Železný	270	158	125	87	72	48	578
Vikram Pudi	368 1.4×	269 1.7×	23 0.2×	89 1.0×	46 0.6×	54	588
Junli Wang	296 1.1×	157 1.0×	44 0.4×	22 0.3×	25 0.3×	59	557
Yifang Qin	330 1.2×	159 1.0×	55 0.4×	39 0.4×	20 0.3×	37	606
Lixin Cui	348 1.3×	79 0.5×	36 0.3×	40 0.5×	74 1.0×	50	655
Wael Hadi	336 1.2×	291 1.8×	8 0.1×	69 0.8×	37 0.5×	59	588
Shikha Mehta	232 0.9×	148 0.9×	24 0.2×	34 0.4×	14 0.2×	54	535
Sumitra Mukherjee	480 1.8×	102 0.6×	29 0.2×	54 0.6×	45 0.6×	36	691
Alan Blair	411 1.5×	27 0.2×	34 0.3×	53 0.6×	50 0.7×	48	581
Duncan J. Murdoch	74 0.3×	102 0.6×	39 0.3×	14 0.2×	17 0.2×	30	535
Fernando E. B. Otero	425 1.6×	164 1.0×	54 0.4×	75 0.9×	50 0.7×	48	587

Countries citing papers authored by Filip Železný

Since Specialization

Citations

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

Fields of papers citing papers by Filip Železný

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Železný

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