Jakub Wróblewski
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- Piotr SynakDominik ŚlȩzakAlicja WieczorkowskaMarcin SzczukaAnna BoczkowskaKrzysztof J. KurzydłowskiRafał M. MolakMarcin Kowalski
- Topics
- Rough Sets and Fuzzy Logic (10 papers)Data Mining Algorithms and Applications (8 papers)Biomedical Text Mining and Ontologies (2 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringMaterialsProceedings of the VLDB Endowment
- Partner nations
- PolandCanadaUnited States
In The Last Decade
Jakub Wróblewski
16 papers receiving 224 citations
Peers
Comparison fields: 5 of 41
- Computational Theory and Mathematics 127
- Artificial Intelligence 113
- Information Systems 99
- Computer Networks and Communications 53
- Signal Processing 53
Countries citing papers authored by Jakub Wróblewski
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | Analyzing relational databases using rough set based methods | 3 |
| 6 | 1 | |
| 7 | 8 | |
| 8 | A Rough-Columnar RDBMS Engine - A Case Study of Correlated Subqueries | 5 |
| 9 | 15 | |
| 10 | 61 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | Examination of Routine Practice Patterns in the Hospital Information Data Warehouse: Use of OLAP and Rough Set Analysis with Clinician Feedback | 1 |
| 16 | Ensembles of Classifiers Based on Approximate Reducts | 49 |
| 17 | 44 |
About Jakub Wróblewski
Jakub Wróblewski is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 17 papers that have together received 239 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (8 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (127 citations), Signal Processing (53 citations) and Information Systems (99 citations). Jakub Wróblewski has collaborated with scholars based in Poland, Canada and United States. Frequent co-authors include Piotr Synak, Dominik Ślȩzak, Alicja Wieczorkowska, Marcin Szczuka, Anna Boczkowska, Krzysztof J. Kurzydłowski, Rafał M. Molak, Marcin Kowalski, Kamil Dydek and Janusz Borkowski. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Materials and Proceedings of the VLDB Endowment.
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.