Bart Goethals
Impact in
- Information Systems top 0.1%
- Data Mining Algorithms and Applications
- Recommender Systems and Techniques
- Software Engineering Research
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Advanced Clustering Algorithms Research
Papers in
-
- Data Mining Algorithms and Applications 90
- Recommender Systems and Techniques 23
- Data Mining and Machine Learning Applications 6
- Information Retrieval and Data Mining 3
-
- Advanced Clustering Algorithms Research 4
- Co-authors
- Toon Calders (21 shared papers)Taneli Mielikäinen (3 shared papers)Mohammed Javeed Zaki (5 shared papers)Boris Čule (29 shared papers)Jan Van den Bussche (6 shared papers)Sven Laur (1 shared paper)Helger Lipmaa (1 shared paper)Serge Demeyer (1 shared paper)
- Journals
- Data Mining and Knowledge Discovery (5 papers)Lecture notes in computer science (33 papers)IEEE Transactions on Computational Biology and Bioinformatics (2 papers)BioData Mining (2 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)
- Partner nations
- BelgiumAustraliaNetherlands
In The Last Decade
Bart Goethals
134 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 137
- Information Systems 2.6k
- Artificial Intelligence 817
- Signal Processing 98
- Computational Mathematics 7
- Computer Networks and Communications 169
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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 313 | |
| 2 | 2010 | 276 | |
| 3 | 2002 | 215 | |
| 4 | 2004 | 190 | |
| 5 | Survey on Frequent Pattern Mining | 2003 | 182 |
| 6 | 2013 | 163 | |
| 7 | 2004 | 130 | |
| 8 | 2011 | 106 | |
| 9 | 2007 | 99 | |
| 10 | 2013 | 99 | |
| 11 | 2013 | 94 | |
| 12 | 2018 | 82 | |
| 13 | 2008 | 81 | |
| 14 | 2005 | 71 | |
| 15 | 2000 | 69 | |
| 16 | 2011 | 67 | |
| 17 | 2014 | 63 | |
| 18 | 2010 | 55 | |
| 19 | 2010 | 54 | |
| 20 | 2002 | 52 |
About Bart Goethals
Bart Goethals is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computational Theory and Mathematics, having authored 140 papers that have together received 4.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (90 papers), Recommender Systems and Techniques (23 papers), Data Mining and Machine Learning Applications (6 papers), Bioinformatics and Genomic Networks (5 papers), Graph Theory and Algorithms (5 papers), Advanced Clustering Algorithms Research (4 papers), Advanced Bandit Algorithms Research (3 papers) and Information Retrieval and Data Mining (3 papers). The work is most often cited by research in Information Systems (2.6k citations), Artificial Intelligence (817 citations), Signal Processing (98 citations), Computational Mathematics (7 citations) and Computer Networks and Communications (169 citations). Bart Goethals has collaborated with scholars based in Belgium, Australia and Netherlands. Frequent co-authors include Toon Calders, Taneli Mielikäinen, Mohammed Javeed Zaki, Boris Čule, Jan Van den Bussche, Sven Laur, Helger Lipmaa, Serge Demeyer, Emanuel Giger and Ahmed Lamkanfi. Their work appears in journals such as Data Mining and Knowledge Discovery, Lecture notes in computer science, IEEE Transactions on Computational Biology and Bioinformatics, BioData Mining and Statistical Analysis and Data Mining The ASA Data Science Journal.
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.