Eva Fučíková

46 total papers · 559 total citations
20 papers, 417 citations indexed

About

Eva Fučíková is a scholar working on Artificial Intelligence, Language and Linguistics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Eva Fučíková has authored 20 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Language and Linguistics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Eva Fučíková's work include Natural Language Processing Techniques (14 papers), linguistics and terminology studies (7 papers) and Topic Modeling (6 papers). Eva Fučíková is often cited by papers focused on Natural Language Processing Techniques (14 papers), linguistics and terminology studies (7 papers) and Topic Modeling (6 papers). Eva Fučíková collaborates with scholars based in Czechia and Netherlands. Eva Fučíková's co-authors include Kateřina Hotová Svádová, Pavel Štys, Alice Exnerová, Kees van Oers, Piet J. Drent, Zdeňka Urešová, P.J. Drent, Vojtĕch Jaros̆ı́k, Eva Landová and Jan Hajič and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the Royal Society B Biological Sciences and Behavioral Ecology.

In The Last Decade

Eva Fučíková

17 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Fučíková 263 131 83 57 56 20 417
Michael K. Tourtellot 270 1.0× 11 0.1× 55 0.7× 136 2.4× 23 0.4× 13 405
Vivek H. Sridhar 235 0.9× 15 0.1× 92 1.1× 94 1.6× 53 0.9× 10 454
Rebecca D. Tarvin 115 0.4× 13 0.1× 53 0.6× 127 2.2× 29 0.5× 22 416
Steven L. Hopp 184 0.7× 10 0.1× 214 2.6× 20 0.4× 87 1.6× 17 477
Alastair J. Inman 249 0.9× 8 0.1× 140 1.7× 71 1.2× 54 1.0× 9 471
Maxime Cauchoix 174 0.7× 10 0.1× 93 1.1× 29 0.5× 118 2.1× 18 480
Maxime Garcia 167 0.6× 48 0.4× 161 1.9× 36 0.6× 54 1.0× 27 439
Daniel N. Düring 148 0.6× 15 0.1× 144 1.7× 36 0.6× 14 0.3× 9 400
Peter M. Driver 276 1.0× 6 0.0× 143 1.7× 61 1.1× 55 1.0× 14 441
Matina C. Donaldson-Matasci 214 0.8× 20 0.2× 51 0.6× 253 4.4× 14 0.3× 13 435

Countries citing papers authored by Eva Fučíková

Since Specialization
Citations

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

Fields of papers citing papers by Eva Fučíková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Fučíková

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