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
-
- Rough Sets and Fuzzy Logic 32
- Co-authors
- Toon CaldersMohammed J. ZakiEmanuel GigerSerge DemeyerAhmed LamkanfiBoris ČuleKris LaukensPieter Meysman
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 10 | |
| 2 | 2017 | 11 | |
| 3 | 2017 | 7 | |
| 4 | 2016 | 3 | |
| 5 | Discovery of significantly enriched subgraphs associated with selected vertices in a single graph | 2015 | 2 |
| 6 | 2014 | 2 | |
| 7 | 2013 | 136 | |
| 8 | 2011 | 64 | |
| 9 | 2011 | 95 | |
| 10 | Machine learning and knowledge discovery in databases : European conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008 : proceedings | 2008 | 5 |
| 11 | Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I | 2008 | 17 |
| 12 | Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations (FIMI'03) | 2007 | 2 |
| 13 | Mining Views: Database Views for Data Mining | 2007 | 4 |
| 14 | Mining frequent items in a stream using flexible windows | 2006 | 0 |
| 15 | Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations | 2005 | 3 |
| 16 | Knowledge Discovery in Inductive Databases: Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers (Lecture Notes in Computer Science) | 2005 | 1 |
| 17 | Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMI 2004) | 2004 | 20 |
| 18 | 2004 | 139 | |
| 19 | Efficient frequent pattern mining | 2002 | 30 |
| 20 | A priori versus a posteriori filtering of association rules. | 1999 | 13 |
About Bart Goethals
Bart Goethals is a scholar working on Information Systems, Computational Theory and Mathematics, Signal Processing, Artificial Intelligence and Management Science and Operations Research, 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), Imbalanced Data Classification Techniques (9 papers), Advanced Bandit Algorithms Research (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, Pieter Meysman, Jan Van den Bussche 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.