Dragan Gamberger

2.5k total citations
60 papers, 1.2k citations indexed

About

Dragan Gamberger is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Dragan Gamberger has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Information Systems and 12 papers in Molecular Biology. Recurrent topics in Dragan Gamberger's work include Data Mining Algorithms and Applications (14 papers), Imbalanced Data Classification Techniques (6 papers) and Rough Sets and Fuzzy Logic (6 papers). Dragan Gamberger is often cited by papers focused on Data Mining Algorithms and Applications (14 papers), Imbalanced Data Classification Techniques (6 papers) and Rough Sets and Fuzzy Logic (6 papers). Dragan Gamberger collaborates with scholars based in Croatia, Slovenia and United States. Dragan Gamberger's co-authors include Nada Lavrač, Johannes Fürnkranz, Ciril Grošelj, Goran Krstačić, Sašo Džeroski, Borut Sluban, Alan Jović, P. Murali Doraiswamy, Rudolph E. Tanzi and Peter Flach and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Dragan Gamberger

55 papers receiving 1.1k citations

Peers

Dragan Gamberger

CTM

CVPR

Zoran Bosnić Slovenia

Bo Jin China

Rinkle Rani India

Md. Saiful Islam Australia

Kira Radinsky Israel

Aziz Guergachi Canada

Sriraam Natarajan United States

Ivan Rozman Slovenia

Dingcheng Li United States

Vipin Kumar India

Zoran Bosnić Slovenia

Dragan Gamberger

454 ×0.7

201 ×0.6

77 ×0.4

CTM

61 ×0.5

99 ×1.1

CVPR

Citations per year, relative to Dragan Gamberger Dragan Gamberger (= 1×) peers Zoran Bosnić

Countries citing papers authored by Dragan Gamberger

Since Specialization

Citations

This map shows the geographic impact of Dragan Gamberger'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 Dragan Gamberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragan Gamberger more than expected).

Fields of papers citing papers by Dragan Gamberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dragan Gamberger. 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 Dragan Gamberger. The network helps show where Dragan Gamberger may publish in the future.

Co-authorship network of co-authors of Dragan Gamberger

This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Gamberger. A scholar is included among the top collaborators of Dragan Gamberger 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 Dragan Gamberger. Dragan Gamberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Doraiswamy, P. Murali, et al.. (2021). Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort. Radiology. 302(1). 143–150. 10 indexed citations

Gamberger, Dragan, et al.. (2017). Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease. Scientific Reports. 7(1). 6763–6763. 74 indexed citations

Gamberger, Dragan, et al.. (2016). Homogeneous clusters of Alzheimer’s disease patient population. BioMedical Engineering OnLine. 15(S1). 78–78. 11 indexed citations

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

Gamberger, Dragan, et al.. (2014). Impacto de Tratados Bilaterales de Inversión (TBI) de la Inversión Extranjera Directa Suizo (IED). Revista Mexicana de Economía y Finanzas. 9(1). 1–18. 1 indexed citations

Gamberger, Dragan, et al.. (2013). Analysis of World Bank indicators for countries with banking crises by subgroup discovery induction. International Convention on Information and Communication Technology, Electronics and Microelectronics. 1138–1142. 1 indexed citations

Krstačić, Goran, et al.. (2013). Control of heart rate by the autonomic nervous system in acute spinal cord injury.. PubMed. 52(4). 430–5. 6 indexed citations

Gamberger, Dragan, et al.. (2012). Adapting hierarchical clustering distance measures for improved presentation of relationships between transaction elements. SHILAP Revista de lepidopterología. 4 indexed citations

Krstačić, Goran, et al.. (2012). Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. Medical & Biological Engineering & Computing. 50(10). 1037–1046. 19 indexed citations

10.

Jović, Alan, et al.. (2011). Heart Failure Ontology. Bio-Algorithms and Med-Systems. 7(2). 101–110. 7 indexed citations

11.

Novak, Petra Kralj, et al.. (2008). CSM-SD: Methodology for contrast set mining through subgroup discovery. Journal of Biomedical Informatics. 42(1). 113–122. 10 indexed citations

12.

Gamberger, Dragan & Nada Lavrač. (2004). Avoiding data over fitting in scientific discovery: experiments in functional genomics. European Conference on Artificial Intelligence. 470–474. 3 indexed citations

13.

Gamberger, Dragan, Nada Lavrač, Filip Železný, & Jakub Tolar. (2004). Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. Journal of Biomedical Informatics. 37(4). 269–284. 32 indexed citations

14.

Gamberger, Dragan, Nada Lavrač, & Goran Krstačić. (2003). Active subgroup mining: a case study in coronary heart disease risk group detection. Artificial Intelligence in Medicine. 28(1). 27–57. 47 indexed citations

15.

Gamberger, Dragan & Nada Lavrač. (2002). Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. International Conference on Machine Learning. 163–170. 9 indexed citations

16.

Šmuc, Tomislav, Dragan Gamberger, & Goran Krstačić. (2001). Combining Unsupervised and Supervised Machine Learning. 109–112. 3 indexed citations

17.

Gamberger, Dragan, Nada Lavrač, & Ciril Grošelj. (1999). Experiments with Noise Filtering in a Medical Domain. International Conference on Machine Learning. 143–151. 127 indexed citations

18.

Lavrač, Nada, et al.. (1999). A study of relevance for learning in deductive databases. The Journal of Logic Programming. 40(2-3). 215–249. 18 indexed citations

19.

Gamberger, Dragan, Davor Horvatić, Sanja Sekušak, & Aleksandar Sabljić. (1996). Applications of experts’ judgement to derive structure-biodegradation relationships. Environmental Science and Pollution Research. 3(4). 224–228. 20 indexed citations

20.

Gamberger, Dragan, Sanja Sekušak, & Aleksandar Sabljić. (1993). Modelling Biodegradation by an Example-Based Learning System.. Informatica (slovenia). 17. 5 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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