Jakub Wróblewski

1.5k total citations
17 papers, 239 citations indexed

About

Jakub Wróblewski is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jakub Wróblewski has authored 17 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 8 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Jakub Wróblewski's work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (8 papers) and Biomedical Text Mining and Ontologies (2 papers). Jakub Wróblewski is often cited by papers focused on Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (8 papers) and Biomedical Text Mining and Ontologies (2 papers). Jakub Wróblewski collaborates with scholars based in Poland, Canada and United States. Jakub Wróblewski's co-authors include Piotr Synak, Dominik Ślȩzak, Alicja Wieczorkowska, Marcin Szczuka, Michał Kawalec, Anna Boczkowska, Janusz Borkowski, Kamil Dydek, Rafał M. Molak and Krzysztof J. Kurzydłowski and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Materials and Proceedings of the VLDB Endowment.

In The Last Decade

Jakub Wróblewski

16 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Wróblewski Poland 8 127 113 99 53 53 17 239
Anton Dries Belgium 9 38 0.3× 186 1.6× 61 0.6× 69 1.3× 56 1.1× 22 254
Zineb Habbas France 9 92 0.7× 138 1.2× 156 1.6× 68 1.3× 68 1.3× 27 247
Marcin Szczuka Poland 9 87 0.7× 98 0.9× 63 0.6× 11 0.2× 35 0.7× 27 178
Daniel Neider Germany 9 151 1.2× 221 2.0× 53 0.5× 19 0.4× 15 0.3× 39 299
Janusz Wnek United States 9 69 0.5× 179 1.6× 75 0.8× 10 0.2× 24 0.5× 25 255
Gang Gou United States 8 22 0.2× 132 1.2× 104 1.1× 230 4.3× 200 3.8× 14 312
Marcello M. Bersani Italy 11 128 1.0× 136 1.2× 73 0.7× 82 1.5× 8 0.2× 42 266
Hiroshi Tsukimoto Japan 5 46 0.4× 157 1.4× 35 0.4× 17 0.3× 21 0.4× 12 213
Berthold Hoffmann Germany 9 49 0.4× 185 1.6× 109 1.1× 40 0.8× 6 0.1× 23 278
Sabine Kuske Germany 9 47 0.4× 147 1.3× 84 0.8× 35 0.7× 5 0.1× 23 227

Countries citing papers authored by Jakub Wróblewski

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Wróblewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Wróblewski

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

All Works

17 of 17 papers shown
1.
Wróblewski, Jakub, et al.. (2024). Kryptowaluty a finansowanie przestępczości i pranie pieniędzy. 201–225.
2.
Zgłobicka, Izabela, Rafał M. Molak, Michał Kawalec, et al.. (2022). Poly(lactic acid) Matrix Reinforced with Diatomaceous Earth. Materials. 15(18). 6210–6210. 10 indexed citations
3.
Wróblewski, Jakub, et al.. (2021). Toward automatic assessment of a risk of women’s health disorders based on ontology decision models and menstrual cycle analysis. 2021 IEEE International Conference on Big Data (Big Data). 5544–5552. 4 indexed citations
4.
Wróblewski, Jakub. (2017). Energochłonność miejskich oczyszczalni ścieków. Cz. II. Badania własne. GAZ WODA I TECHNIKA SANITARNA. 1(9). 17–19. 3 indexed citations
5.
Wróblewski, Jakub & Marcin Kowalski. (2014). On Complexity of Effective Data Granulation in Databases. 1. 358–363. 1 indexed citations
6.
Wróblewski, Jakub. (2014). Analyzing relational databases using rough set based methods. 3 indexed citations
7.
Ślȩzak, Dominik, et al.. (2013). Two Database Related Interpretations of Rough Approximations: Data Organization and Query Execution. Fundamenta Informaticae. 127(1-4). 445–459. 8 indexed citations
8.
Ślȩzak, Dominik, et al.. (2012). A Rough-Columnar RDBMS Engine - A Case Study of Correlated Subqueries. IEEE Transactions on Knowledge and Data Engineering. 35(1). 34–39. 5 indexed citations
9.
Ślȩzak, Dominik, et al.. (2010). Infobright Analytic Database Engine Using Rough Sets and Granular Computing. 432–437. 15 indexed citations
10.
Ślȩzak, Dominik, et al.. (2008). Brighthouse. Proceedings of the VLDB Endowment. 1(2). 1337–1345. 61 indexed citations
11.
Ślȩzak, Dominik & Jakub Wróblewski. (2006). Rough Discretization of Gene Expression Data. 2. 265–267. 4 indexed citations
12.
Ślȩzak, Dominik & Jakub Wróblewski. (2006). Rough Discretization of Gene Expression Data. 47. 265–267. 3 indexed citations
13.
Wieczorkowska, Alicja, et al.. (2003). Application of Temporal Descriptors to Musical Instrument Sound Recognition. Journal of Intelligent Information Systems. 21(1). 71–93. 18 indexed citations
14.
Wróblewski, Jakub, et al.. (2003). Neural Network Architecture for Synthesis of the Probabilistic Rule Based Classifiers. Electronic Notes in Theoretical Computer Science. 82(4). 251–262. 10 indexed citations
15.
Grant, Andrew, et al.. (2001). Examination of Routine Practice Patterns in the Hospital Information Data Warehouse: Use of OLAP and Rough Set Analysis with Clinician Feedback. Europe PMC (PubMed Central). 916–916. 1 indexed citations
16.
Wróblewski, Jakub. (2001). Ensembles of Classifiers Based on Approximate Reducts. Fundamenta Informaticae. 47(3). 351–360. 49 indexed citations
17.
Wróblewski, Jakub. (1996). Theoretical Foundations of Order-Based Genetic Algorithms. Fundamenta Informaticae. 28(3,4). 423–430. 44 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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