Eva Matoušková

38 total papers · 660 total citations
34 papers, 452 citations indexed

About

Eva Matoušková is a scholar working on Mathematical Physics, Geometry and Topology and Computational Theory and Mathematics. According to data from OpenAlex, Eva Matoušková has authored 34 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mathematical Physics, 11 papers in Geometry and Topology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Eva Matoušková's work include Advanced Banach Space Theory (14 papers), Optimization and Variational Analysis (10 papers) and Fixed Point Theorems Analysis (6 papers). Eva Matoušková is often cited by papers focused on Advanced Banach Space Theory (14 papers), Optimization and Variational Analysis (10 papers) and Fixed Point Theorems Analysis (6 papers). Eva Matoušková collaborates with scholars based in Czechia, Austria and Israel. Eva Matoušková's co-authors include Simeon Reich, Heinz H. Bauschke, R Königová, Pavel Veselý, L Brož, Charles Stegall, Jiřı́ Matoušek, Alexander J. Zaslavski, Joram Lindenstrauss and Leo Klein and has published in prestigious journals such as Virology, British Journal of Dermatology and Breast Cancer Research and Treatment.

In The Last Decade

Eva Matoušková

31 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Eva Matoušková	209	174	126	121	83	34	452
Seiichiro Wakabayashi	32 0.2×	17 0.1×	155 1.2×	15 0.1×	152 1.8×	37	414
Mohamed Ben Ayed	321 1.5×	43 0.2×	100 0.8×	26 0.2×	404 4.9×	93	548
Janet Dyson	99 0.5×	19 0.1×	82 0.7×	125 1.0×	170 2.0×	32	522
Zhaojuan Wang	193 0.9×	21 0.1×	90 0.7×	10 0.1×	41 0.5×	42	473
Wei Wang	68 0.3×	23 0.1×	45 0.4×	18 0.1×	87 1.0×	45	407
Francisco J. Mancebo	140 0.7×	2 0.0×	45 0.4×	17 0.1×	161 1.9×	25	452
Noriaki Suzuki	35 0.2×	27 0.2×	48 0.4×	6 0.0×	132 1.6×	45	491
Fengjie Li	131 0.6×	4 0.0×	40 0.3×	36 0.3×	160 1.9×	75	503
Jack M. Shapiro	19 0.1×	27 0.2×	40 0.3×	13 0.1×	33 0.4×	27	420
James A. MacDougall	193 0.9×	64 0.4×	22 0.2×	4 0.0×	19 0.2×	50	483

Countries citing papers authored by Eva Matoušková

Since Specialization

Citations

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

Fields of papers citing papers by Eva Matoušková

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Matoušková

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