Bernard Ženko

1.9k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Bernard Ženko is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Bernard Ženko has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Bernard Ženko's work include Machine Learning and Data Classification (6 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (3 papers). Bernard Ženko is often cited by papers focused on Machine Learning and Data Classification (6 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (3 papers). Bernard Ženko collaborates with scholars based in Slovenia, Croatia and Germany. Bernard Ženko's co-authors include Sašo Džeroski, Nina Gunde‐Cimerman, Monika Novak Babič, Polona Zalar, Timo Aho, Tapio Elomaa, Ljupčo Todorovski, Maja Rupnik, Domen Mongus and Hans‐Josef Schroers and has published in prestigious journals such as PLoS ONE, Food Chemistry and Environmental Health Perspectives.

In The Last Decade

Bernard Ženko

29 papers receiving 1.2k citations

Hit Papers

Is Combining Classifiers with Stacking Better than Select... 2004 2026 2011 2018 2004 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Is Combining Classifiers with Stacking Better than Selecting the Best One?
    2004 595 citations Sašo Džeroski, Bernard Ženko profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernard Ženko Slovenia 15 532 167 139 124 92 31 1.3k
Yuanchun Zhou China 21 322 0.6× 112 0.7× 344 2.5× 92 0.7× 86 0.9× 135 1.3k
Yuxiao Chen United States 24 277 0.5× 150 0.9× 366 2.6× 69 0.6× 107 1.2× 86 1.9k
Tomi Silander Finland 17 484 0.9× 207 1.2× 56 0.4× 77 0.6× 67 0.7× 54 992
Lan Zhou United States 19 331 0.6× 216 1.3× 123 0.9× 247 2.0× 30 0.3× 63 1.3k
Choujun Zhan China 17 236 0.4× 62 0.4× 135 1.0× 96 0.8× 62 0.7× 86 1.2k
Qingqing Ye China 20 503 0.9× 137 0.8× 53 0.4× 60 0.5× 25 0.3× 110 1.3k
Sabri Boughorbel Qatar 15 496 0.9× 231 1.4× 302 2.2× 88 0.7× 20 0.2× 46 1.6k
Xuezhi Wang China 30 1.0k 1.9× 240 1.4× 359 2.6× 119 1.0× 87 0.9× 244 3.1k
Manjit Kaur India 27 568 1.1× 182 1.1× 585 4.2× 129 1.0× 128 1.4× 88 2.1k
Daniel R. Jeske United States 25 165 0.3× 206 1.2× 56 0.4× 151 1.2× 66 0.7× 125 2.0k

Countries citing papers authored by Bernard Ženko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bernard Ženko

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Ženko. A scholar is included among the top collaborators of Bernard Ženko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard Ženko. Bernard Ženko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ženko, Bernard, et al.. (2024). Multi-criteria assessment of sustainable mobility of employees. Journal of Decision System. 33(sup1). 270–283. 1 indexed citations
2.
Petković, Matej, Jurica Levatić, Panče Panov, et al.. (2022). Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft. Scientific Data. 9(1). 229–229. 5 indexed citations
3.
Žnidaršič, Martin, Bernard Ženko, Marko Bohanec, et al.. (2019). Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults. 87–93. 1 indexed citations
4.
Petković, Matej, Nikola Simidjievski, Sašo Džeroski, et al.. (2019). Machine Learning for Predicting Thermal Power Consumption of the Mars Express Spacecraft. IEEE Aerospace and Electronic Systems Magazine. 34(7). 46–60. 13 indexed citations
5.
Strojnik, Lidija, M. Stopar, Emil Zlatić, et al.. (2018). Authentication of key aroma compounds in apple using stable isotope approach. Food Chemistry. 277. 766–773. 20 indexed citations
6.
Tušar, Tea, et al.. (2017). A study of overfitting in optimization of a manufacturing quality control procedure. Applied Soft Computing. 59. 77–87. 21 indexed citations
7.
Gamberger, Dragan, et al.. (2016). Homogeneous clusters of Alzheimer’s disease patient population. BioMedical Engineering OnLine. 15(S1). 78–78. 11 indexed citations
8.
Gamberger, Dragan, et al.. (2016). Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Brain Informatics. 3(3). 169–179. 19 indexed citations
9.
Babič, Monika Novak, Polona Zalar, Bernard Ženko, et al.. (2015). Candida and Fusarium species known as opportunistic human pathogens from customer-accessible parts of residential washing machines. Fungal Biology. 119(2-3). 95–113. 61 indexed citations
10.
Džeroski, Sašo, et al.. (2013). Changes of poultry faecal microbiota associated with Clostridium difficile colonisation. Veterinary Microbiology. 165(3-4). 416–424. 23 indexed citations
11.
Džeroski, Sašo, et al.. (2013). Gut Microbiota Patterns Associated with Colonization of Different Clostridium difficile Ribotypes. PLoS ONE. 8(2). e58005–e58005. 62 indexed citations
12.
Aho, Timo, Bernard Ženko, Sašo Džeroski, & Tapio Elomaa. (2012). Multi-target regression with rule ensembles. Journal of Machine Learning Research. 13(1). 2367–2407. 73 indexed citations
13.
Ikonomovska, Elena, João Gama, Bernard Ženko, & Sašo Džeroski. (2011). Speeding-Up Hoeffding-Based Regression Trees With Options. 537–544. 25 indexed citations
14.
Slavkov, Ivica, Bernard Ženko, & Sašo Džeroski. (2009). Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. 122–135. 11 indexed citations
15.
Grum, Darja Kobal, Alfred B. Kobal, Milena Horvat, et al.. (2006). Personality Traits in Miners with Past Occupational Elemental Mercury Exposure. Environmental Health Perspectives. 114(2). 290–296. 25 indexed citations
16.
Ženko, Bernard, et al.. (2006). Learning Predictive Clustering Rules. Lecture notes in computer science. 32(1). 234–250. 13 indexed citations
17.
Osredkar, Joško, Bernard Ženko, Darja Kobal Grum, et al.. (2005). Analysis of the relationship between pineal hormone melatonin level and occupational mercury exposure in ex-miners with machine learning methods. 2(1). 1 indexed citations
18.
Džeroski, Sašo & Bernard Ženko. (2002). Is Combining Classifiers Better than Selecting the Best One. International Conference on Machine Learning. 123–130. 66 indexed citations
19.
Ženko, Bernard & Ljupčo Todorovski. (2001). A comparison of stacking with MDTs to bagging, boosting, and other stacking methods. 8 indexed citations
20.
Ženko, Bernard, et al.. (2001). A Comparison of Stacking with Meta Decision Trees to Other Combining Methods. 2 indexed citations

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.

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