Miroslava Švecová

31 total papers · 520 total citations
20 papers, 409 citations indexed

About

Miroslava Švecová is a scholar working on Epidemiology, Infectious Diseases and Psychiatry and Mental health. According to data from OpenAlex, Miroslava Švecová has authored 20 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 6 papers in Infectious Diseases and 4 papers in Psychiatry and Mental health. Recurrent topics in Miroslava Švecová's work include Cytomegalovirus and herpesvirus research (8 papers), Herpesvirus Infections and Treatments (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Miroslava Švecová is often cited by papers focused on Cytomegalovirus and herpesvirus research (8 papers), Herpesvirus Infections and Treatments (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Miroslava Švecová collaborates with scholars based in Czechia and Laos. Miroslava Švecová's co-authors include Vladislav Třeška, Pavel Jindra, Tomáš Reischig, Ondřej Hes, K Opatrný, Stanislav Kormunda, Petr Pazdiora, J Mareš, Mirko Bouda and Petra Rainetová and has published in prestigious journals such as Transplantation, American Journal of Transplantation and Journal of Pediatric Gastroenterology and Nutrition.

In The Last Decade

Miroslava Švecová

18 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Miroslava Švecová 358 132 115 85 80 20 409
Mirko Bouda 336 0.9× 125 0.9× 83 0.7× 114 1.3× 107 1.3× 21 394
Jad A. Khoury 349 1.0× 81 0.6× 208 1.8× 83 1.0× 58 0.7× 10 465
Richard Rohrer 348 1.0× 48 0.4× 110 1.0× 88 1.0× 67 0.8× 10 411
Irma Hoyo 288 0.8× 21 0.2× 121 1.1× 40 0.5× 71 0.9× 15 398
Luiz Sérgio Azevedo 293 0.8× 26 0.2× 165 1.4× 77 0.9× 50 0.6× 24 459
Alda Saldan 386 1.1× 15 0.1× 139 1.2× 60 0.7× 38 0.5× 15 420
W. van der Bij 360 1.0× 14 0.1× 64 0.6× 63 0.7× 39 0.5× 14 424
Jéssica Fernandes Ramos 227 0.6× 16 0.1× 112 1.0× 80 0.9× 34 0.4× 27 435
Sara Cantisán 322 0.9× 16 0.1× 96 0.8× 58 0.7× 26 0.3× 28 399
Elisa Costa 383 1.1× 14 0.1× 108 0.9× 69 0.8× 10 0.1× 26 476

Countries citing papers authored by Miroslava Švecová

Since Specialization
Citations

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

Fields of papers citing papers by Miroslava Švecová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslava Švecová

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