Bogdan Walek
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Sentiment Analysis and Opinion Mining
Papers in
-
- Intuitionistic Fuzzy Systems Applications 5
- Fuzzy Logic and Control Systems 4
- Advanced Text Analysis Techniques 3
- Topic Modeling 3
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- Recommender Systems and Techniques 7
- Co-authors
- Marília Curado (1 shared paper)Paulo Silva (1 shared paper)Nuno Antunes (1 shared paper)Vilém Novák (1 shared paper)Martin Kotyrba (2 shared papers)
- Journals
- Expert Systems with Applications (5 papers)Mathematics (2 papers)Applied Mechanics and Materials (1 paper)Axioms (1 paper)Journal of Physics Conference Series (3 papers)
In The Last Decade
Bogdan Walek
27 papers receiving 272 citations
Peers
Comparison fields: 5 of 57
- Information Systems 191
- Artificial Intelligence 125
- Computer Science Applications 18
- Marketing 26
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Bogdan Walek
This map shows the geographic impact of Bogdan Walek'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 Bogdan Walek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bogdan Walek more than expected).
Fields of papers citing papers by Bogdan Walek
This network shows the impact of papers produced by Bogdan Walek. 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 Bogdan Walek. The network helps show where Bogdan Walek may publish in the future.
Co-authors
The 5 scholars most cited alongside Bogdan Walek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2022 | 50 | |
| 3 | 2017 | 20 | |
| 4 | 2022 | 15 | |
| 5 | 2018 | 13 | |
| 6 | 2022 | 8 | |
| 7 | 2012 | 5 | |
| 8 | 2014 | 4 | |
| 9 | Proposal of The Expert System for Conducting Information Security Risk Analysis | 2013 | 4 |
| 10 | 2021 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2012 | 2 |
About Bogdan Walek
Bogdan Walek is a scholar working on Artificial Intelligence, Information Systems, Social Psychology, Control and Systems Engineering and Computer Networks and Communications, having authored 35 papers that have together received 283 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Intuitionistic Fuzzy Systems Applications (5 papers), Fuzzy Logic and Control Systems (4 papers), Competency Development and Evaluation (4 papers), Higher Education Learning Practices (3 papers), Advanced Text Analysis Techniques (3 papers), Topic Modeling (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Information Systems (191 citations), Artificial Intelligence (125 citations), Computer Science Applications (18 citations), Marketing (26 citations) and Computer Vision and Pattern Recognition (53 citations). Bogdan Walek has collaborated with scholars based in Czechia and Portugal. Frequent co-authors include Marília Curado, Paulo Silva, Nuno Antunes, Vilém Novák and Martin Kotyrba. Their work appears in journals such as Expert Systems with Applications, Mathematics, Applied Mechanics and Materials, Axioms and Journal of Physics Conference Series.
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.