Hana Řezanková

608 total citations
46 papers, 390 citations indexed

About

Hana Řezanková is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Hana Řezanková has authored 46 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Hana Řezanková's work include Advanced Clustering Algorithms Research (11 papers), Data Mining Algorithms and Applications (8 papers) and Neural Networks and Applications (8 papers). Hana Řezanková is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Data Mining Algorithms and Applications (8 papers) and Neural Networks and Applications (8 papers). Hana Řezanková collaborates with scholars based in Czechia, Russia and Israel. Hana Řezanková's co-authors include Tomáš Řezanka, Valery M. Dembitsky, Marina Temina, Pavel Řezanka, Vladimı́r Král, Pavel Matějka, L Hanŭs, Dušan Húsek, Václav Snåšel and Alexander Frolov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytica Chimica Acta and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Hana Řezanková

40 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hana Řezanková Czechia 10 74 46 37 37 36 46 390
Krassen Stefanov Bulgaria 11 97 1.3× 13 0.3× 63 1.7× 22 0.6× 27 0.8× 72 511
Richard Marchese Robinson United Kingdom 15 207 2.8× 35 0.8× 11 0.3× 121 3.3× 56 1.6× 23 864
Rick Mullin Canada 12 106 1.4× 13 0.3× 7 0.2× 60 1.6× 31 0.9× 176 641
Dimitra Iliopoulou Greece 12 91 1.2× 28 0.6× 23 0.6× 36 1.0× 41 1.1× 36 570
Karina Machado Brazil 14 201 2.7× 28 0.6× 12 0.3× 51 1.4× 51 1.4× 60 455
Dominique Cardon France 14 81 1.1× 13 0.3× 8 0.2× 33 0.9× 80 2.2× 65 1.0k
Yuqian Han China 10 67 0.9× 8 0.2× 22 0.6× 40 1.1× 11 0.3× 28 381
Asit Kumar Das India 15 60 0.8× 23 0.5× 18 0.5× 30 0.8× 152 4.2× 35 503
Irvanizam Irvanizam Indonesia 14 27 0.4× 89 1.9× 9 0.2× 32 0.9× 6 0.2× 46 453

Countries citing papers authored by Hana Řezanková

Since Specialization
Citations

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

Fields of papers citing papers by Hana Řezanková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Řezanková

This figure shows the co-authorship network connecting the top 25 collaborators of Hana Řezanková. A scholar is included among the top collaborators of Hana Řezanková 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 Hana Řezanková. Hana Řezanková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Řezanková, Hana, et al.. (2025). Measuring Student Educational Progress Through a Multinational Business Case Competition with Elements of Mystery and Randomness. Journal of Teaching in International Business. 36(4). 232–246.
2.
Řezanková, Hana, et al.. (2024). Perception of Natural Cosmetics Among Central European Consumers. Econstor (Econstor). 11(58). 233–251. 1 indexed citations
3.
Řezanková, Hana, et al.. (2021). Consumer Perception of Quality of Clothing Products: A Lesson for the Business Sector Arising from Czech Evidence. Central European Business Review. 11(2). 101–121. 2 indexed citations
4.
Řezanková, Hana, et al.. (2021). Logistics social responsibility. SHILAP Revista de lepidopterología. 26(1). 111–128. 2 indexed citations
5.
Řezanková, Hana, et al.. (2021). Evaluation of the Gower coefficient modifications in hierarchical clustering. 14(1). 37–48. 1 indexed citations
6.
Řezanková, Hana, et al.. (2020). Mercosur – a Comparison of Four Member Countries on the Basis of Selected Economic Indicators. Comparative Economic Research Central and Eastern Europe. 23(1). 55–72. 2 indexed citations
7.
Řezanková, Hana, et al.. (2017). Selected Gender Gap Indicators – Comparison of V4 Countries within EU Context. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. 2 indexed citations
8.
Řezanková, Hana, et al.. (2016). The Added Value of Women in Management: The Czech Case. Prague Economic Papers. 25(3). 354–373. 9 indexed citations
9.
Řezanková, Hana, et al.. (2016). Relationship of Gender Gap, Competitiveness and Sustainability of Economy - Position of the Czech Republic in International Comparison. Politická ekonomie. 64(4). 468–491. 2 indexed citations
10.
Řezanková, Hana, et al.. (2014). Faktory míry materiální deprivace v České republice a jejich vztahy k typu domácnosti. Ekonomický časopis. 62(4). 394–410. 3 indexed citations
11.
Řezanková, Hana. (2014). Cluster Analysis of Economic Datas. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Strouhal, Jiří, et al.. (2014). Positioning of Czech accountants towards IFRS implementation. Repository of TBU publications (Univerzita Tomase Bati ze Zline). 1 indexed citations
13.
Frolov, Alexander, et al.. (2012). A COMPARATIVE STUDY OF TWO METHODOLOGIES FOR BINARY DATASETS ANALYSIS. Neural Network World. 22(6). 565–582. 3 indexed citations
14.
Frolov, Alexander, et al.. (2008). Clustering variables by classical approaches and neural network Boolean factor analysis. 3742–3746. 4 indexed citations
15.
Moravec, Pavel, et al.. (2007). Image Analysis by Methods of Dimension Reduction. 3. 272–277. 3 indexed citations
16.
Temina, Marina, Hana Řezanková, Tomáš Řezanka, & Valery M. Dembitsky. (2006). Diversity of the fatty acids of the Nostoc species and their statistical analysis. Microbiological Research. 162(4). 308–321. 56 indexed citations
17.
Húsek, Dušan, et al.. (2005). Neural network nonlinear factor analysis of high dimensional binary signals.. 111(10). 86–89. 5 indexed citations
18.
Řezanková, Hana, Dušan Húsek, Jan Šmíd, & Václav Snåšel. (2003). Clustering of Documents Via Similarity Measures.. 292–299. 1 indexed citations
19.
Řezanková, Hana & Dušan Húsek. (2002). Comparison of the SAS, SPSS and STATISTICA systems in the area of clustering variables. Computational Statistics & Data Analysis. 41(2). 331–339. 2 indexed citations
20.
Řezanková, Hana. (1997). Analýza kategoriálních dat pomocí SPSS. 3 indexed citations

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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