Bernard Ženko
Impact in
- Artificial Intelligence top 2%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Neural Networks and Applications
- Signal Processing top 10%
Papers in
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- Machine Learning and Data Classification 7
- Neural Networks and Applications 3
- Imbalanced Data Classification Techniques 3
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- Bioinformatics and Genomic Networks 4
- Gut microbiota and health 2
- Co-authors
- Sašo Džeroski (22 shared papers)Polona Zalar (2 shared papers)Monika Novak Babič (2 shared papers)Nina Gunde‐Cimerman (2 shared papers)Tapio Elomaa (1 shared paper)Timo Aho (1 shared paper)Ljupčo Todorovski (3 shared papers)Maja Rupnik (2 shared papers)
In The Last Decade
Bernard Ženko
38 papers receiving 1.5k citations
Bernard Ženko's Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 693
- Signal Processing 114
- Health Information Management 43
- Computer Vision and Pattern Recognition 193
- Information Systems 176
Countries citing papers authored by Bernard Ženko
This map shows the geographic impact of Bernard Ženko'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 Bernard Ženko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Ženko more than expected).
Fields of papers citing papers by Bernard Ženko
This network shows the impact of papers produced by Bernard Ženko. 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 Bernard Ženko. The network helps show where Bernard Ženko may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernard Ženko, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Is Combining Classifiers with Stacking Better than Selecting the Best One? Hit paper breakdown → | 2004 | 696 |
| 2 | Is Combining Classifiers Better than Selecting the Best One | 2002 | 97 |
| 3 | 2015 | 84 | |
| 4 | Multi-target regression with rule ensembles | 2012 | 79 |
| 5 | 2015 | 66 | |
| 6 | 2013 | 62 | |
| 7 | 2002 | 45 | |
| 8 | 2002 | 45 | |
| 9 | 2011 | 41 | |
| 10 | Speeding-Up Hoeffding-Based Regression Trees With Options | 2011 | 32 |
| 11 | 2006 | 31 | |
| 12 | 2013 | 24 | |
| 13 | 2016 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2006 | 17 | |
| 18 | 2008 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2019 | 13 |
About Bernard Ženko
Bernard Ženko is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Machine Learning and Data Classification (7 papers), Bioinformatics and Genomic Networks (4 papers), Neural Networks and Applications (3 papers), Alzheimer's disease research and treatments (3 papers), Imbalanced Data Classification Techniques (3 papers), Spacecraft Design and Technology (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Artificial Intelligence (693 citations), Signal Processing (114 citations), Health Information Management (43 citations), Computer Vision and Pattern Recognition (193 citations) and Information Systems (176 citations). Bernard Ženko has collaborated with scholars based in Slovenia, Croatia and Israel. Frequent co-authors include Sašo Džeroski, Polona Zalar, Monika Novak Babič, Nina Gunde‐Cimerman, Tapio Elomaa, Timo Aho, Ljupčo Todorovski, Maja Rupnik, Hans‐Josef Schroers and Domen Mongus. Their work appears in journals such as IEEE Aerospace and Electronic Systems Magazine, Fungal Biology, Journal of Decision System, Sensors and BioMedical Engineering OnLine.
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.