Petr Berka

423 total citations
27 papers, 194 citations indexed

About

Petr Berka is a scholar working on Information Systems, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Petr Berka has authored 27 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Petr Berka's work include Data Mining Algorithms and Applications (10 papers), Advanced Text Analysis Techniques (3 papers) and Artificial Intelligence in Healthcare (3 papers). Petr Berka is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Advanced Text Analysis Techniques (3 papers) and Artificial Intelligence in Healthcare (3 papers). Petr Berka collaborates with scholars based in Czechia, Poland and Canada. Petr Berka's co-authors include Jan Rauch, Djamel A. Zighed, Tapio Elomaa, Jan Biegus, Vojtěch Svátek, Robert Zymliński, Piotr Ponikowski, Yannis Avrithis, Dariusz P. Danel and Piotr Gajewski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomolecules and Lecture notes in computer science.

In The Last Decade

Petr Berka

24 papers receiving 176 citations

Peers

Petr Berka

AI

IS

HIM

CTM

CSA

María A. Zapata Spain

Surya Kallumadi United States

Alina Câmpan United States

T. Meyyappan India

Danuta Zakrzewska Poland

Parikshit Sondhi United States

Zailani Abdullah Malaysia

Jonghoon Chun South Korea

Mazen Alzyoud Jordan

Alex Gray United Kingdom

María A. Zapata Spain

Petr Berka

63 ×0.6

AI

85 ×1.6

IS

12 ×0.6

HIM

11 ×0.6

CTM

12 ×0.8

CSA

Citations per year, relative to Petr Berka Petr Berka (= 1×) peers María A. Zapata

Countries citing papers authored by Petr Berka

Since Specialization

Citations

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

Fields of papers citing papers by Petr Berka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Berka

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

All Works

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20 of 20 papers shown

1.

Gajewski, Piotr, et al.. (2022). Novel Phenotyping for Acute Heart Failure—Unsupervised Machine Learning-Based Approach. Biomedicines. 10(7). 1514–1514. 10 indexed citations

2.

Berka, Petr, et al.. (2022). Machine Learning Approach to Understand Worsening Renal Function in Acute Heart Failure. Biomolecules. 12(11). 1616–1616. 4 indexed citations

3.

Berka, Petr, et al.. (2022). Multi-class classification of COVID-19 documents using machine learning algorithms. Journal of Intelligent Information Systems. 60(2). 571–591. 14 indexed citations

4.

Stańczykiewicz, Bartłomiej, Wiktor Kuliczkowski, Robert Zymliński, et al.. (2022). An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review. Biomedicines. 10(9). 2188–2188. 9 indexed citations

5.

Berka, Petr. (2020). Sentiment analysis using rule-based and case-based reasoning. Journal of Intelligent Information Systems. 55(1). 51–66. 46 indexed citations

6.

Berka, Petr. (2018). Comprehensive concept description based on association rules: A meta-learning approach. Intelligent Data Analysis. 22(2). 325–344. 4 indexed citations

7.

Berka, Petr. (2016). Practical Aspects of Data Mining Using LISp-Miner. Computing and Informatics / Computers and Artificial Intelligence. 35(3). 528–554. 1 indexed citations

8.

Svátek, Vojtěch, et al.. (2013). Linked data mining challenge (LDMC) 2013 summary. 35–44. 2 indexed citations

9.

Berka, Petr, Claudia d’Amato, Vojtěch Svátek, & Krzysztof Węcel. (2013). Proceedings of the International Workshop on Data Mining on LinkedData, with Linked Data Mining Challenge collocated with the EuropeanConference on Machine Learning and Principles and Practice of KnowledgeDiscovery in Databases (ECMLPKDD 2013), Prague, Czech Republic,September 23, 2013. 1082. 1 indexed citations

10.

Berka, Petr. (2012). Learning compositional decision rules using the KEX algorithm. Intelligent Data Analysis. 16(4). 665–681. 2 indexed citations

11.

Berka, Petr. (2011). NEST: A Compositional Approach to Rule-Based and Case-Based Reasoning. SHILAP Revista de lepidopterología. 2011. 1–15. 11 indexed citations

12.

Berka, Petr, et al.. (2008). Atherosclerosis Risk Assessment using Rule-Based Approach. 5. 260–265. 2 indexed citations

13.

Berka, Petr, et al.. (2007). Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data.. Computing and Informatics / Computers and Artificial Intelligence. 26(3). 329–344. 3 indexed citations

14.

Hořáková, Jana, Jozef Kelemen, Petr Berka, et al.. (2007). Pozvanie do znalostnej spoločnosti. 1 indexed citations

15.

Berka, Petr, et al.. (2006). Rule-based Reasoning for Semantic Image Segmentation and Interpretation.. 39–40. 2 indexed citations

16.

Berka, Petr. (2003). Dobývání znalostí z databází. 7 indexed citations

17.

Kroupa, Tomáš & Petr Berka. (2003). WISECON: the intelligent support for e-commerce. 1. 210–214.

18.

Berka, Petr. (2002). ECML/PKDD 2002 discovery challenge, download data about hepatitis. Medical Entomology and Zoology. 2 indexed citations

19.

Svátek, Vojtěch & Petr Berka. (2000). URL as starting point for www document categorisation. 16(6). 1693–1702. 2 indexed citations

20.

Berka, Petr, et al.. (1998). Empirical Comparison of Various Discretization Procedures. International Journal of Pattern Recognition and Artificial Intelligence. 12(7). 1017–1032. 13 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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