Bart Goethals
Impact in
- Information Systems top 0.5%
- Data Mining Algorithms and Applications
- Software Engineering Research
- Recommender Systems and Techniques
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
-
- Data Mining Algorithms and Applications 56
- Recommender Systems and Techniques 13
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- Rough Sets and Fuzzy Logic 32
- Co-authors
- Toon Calders (13 shared papers)Mohammed J. Zaki (6 shared papers)Emanuel Giger (1 shared paper)Serge Demeyer (1 shared paper)Ahmed Lamkanfi (1 shared paper)Boris Čule (15 shared papers)Kris Laukens (12 shared papers)Jan Van den Bussche (4 shared papers)
- Journals
- Data Mining and Knowledge Discovery (5 papers)BioData Mining (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Journal of Proteome Research (1 paper)Bioinformatics and Biology Insights (1 paper)
- Partner nations
- BelgiumAustraliaNetherlands
In The Last Decade
Bart Goethals
92 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Information Systems 1.4k
- Signal Processing 575
- Software 158
- Computational Theory and Mathematics 632
- Artificial Intelligence 847
Countries citing papers authored by Bart Goethals
This map shows the geographic impact of Bart Goethals'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 Bart Goethals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Goethals more than expected).
Fields of papers citing papers by Bart Goethals
This network shows the impact of papers produced by Bart Goethals. 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 Bart Goethals. The network helps show where Bart Goethals may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart Goethals, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 243 | |
| 2 | Survey on Frequent Pattern Mining | 2003 | 148 |
| 3 | 2004 | 139 | |
| 4 | 2013 | 136 | |
| 5 | 2011 | 95 | |
| 6 | 2013 | 86 | |
| 7 | 2007 | 74 | |
| 8 | 2018 | 67 | |
| 9 | 2011 | 64 | |
| 10 | 2014 | 56 | |
| 11 | 2000 | 52 | |
| 12 | 2010 | 40 | |
| 13 | 2012 | 38 | |
| 14 | 2007 | 36 | |
| 15 | 2004 | 36 | |
| 16 | 2005 | 35 | |
| 17 | Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. | 2003 | 35 |
| 18 | 2015 | 35 | |
| 19 | Efficient frequent pattern mining | 2002 | 30 |
| 20 | 2018 | 30 |
About Bart Goethals
Bart Goethals is a scholar working on Information Systems, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 95 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (56 papers), Rough Sets and Fuzzy Logic (32 papers), Data Management and Algorithms (19 papers), Recommender Systems and Techniques (13 papers), Advanced Database Systems and Queries (12 papers), Advanced Bandit Algorithms Research (9 papers), Imbalanced Data Classification Techniques (9 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Information Systems (1.4k citations), Signal Processing (575 citations), Software (158 citations), Computational Theory and Mathematics (632 citations) and Artificial Intelligence (847 citations). Bart Goethals has collaborated with scholars based in Belgium, Australia and Netherlands. Frequent co-authors include Toon Calders, Mohammed J. Zaki, Emanuel Giger, Serge Demeyer, Ahmed Lamkanfi, Boris Čule, Kris Laukens, Jan Van den Bussche, Pieter Meysman and Walter Daelemans. Their work appears in journals such as Data Mining and Knowledge Discovery, BioData Mining, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Proteome Research and Bioinformatics and Biology Insights.
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.