Matjaž Kukar

1.9k total citations
36 papers, 970 citations indexed

About

Matjaž Kukar is a scholar working on Artificial Intelligence, Health Information Management and Information Systems. According to data from OpenAlex, Matjaž Kukar has authored 36 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Health Information Management and 7 papers in Information Systems. Recurrent topics in Matjaž Kukar's work include Artificial Intelligence in Healthcare (8 papers), Imbalanced Data Classification Techniques (6 papers) and Machine Learning and Algorithms (5 papers). Matjaž Kukar is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), Imbalanced Data Classification Techniques (6 papers) and Machine Learning and Algorithms (5 papers). Matjaž Kukar collaborates with scholars based in Slovenia, Greece and United Kingdom. Matjaž Kukar's co-authors include Igor Kononenko, Rok Rupnik, Ciril Grošelj, Zoran Bosnić, Petar Vračar, Gregor Gunčar, Miran Brvar, Peter Černelč, Jure Fettich and Marjan Krisper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Matjaž Kukar

36 papers receiving 918 citations

Peers

Countries citing papers authored by Matjaž Kukar

Since Specialization

Citations

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

Fields of papers citing papers by Matjaž Kukar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matjaž Kukar

This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Kukar. A scholar is included among the top collaborators of Matjaž Kukar 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 Matjaž Kukar. Matjaž Kukar 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

#	Work	Indexed citations
1	Differentiating viral and bacterial infections: A machine learning model based on routine blood test values 2024 ·Heliyon ·Gregor Gunčar, Matjaž Kukar, (unknown), (unknown), (unknown), Simon Podnar, Peter Černelč, Miran Brvar, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	5
2	Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning 2022 ·JMIR Medical Informatics ·(unknown), (unknown), Bojan Žunkovič, (unknown), Marko Robnik‐Šikonja, Matjaž Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S. Maier, Lazar Velicki, Iacopo Olivotto, Guy A. MacGowan, Djordje G. Jakovljević, Nenad Filipović, Zoran Bosnić	14
3	A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy 2021 ·Computers in Biology and Medicine ·(unknown), Bojan Žunkovič, (unknown), (unknown), Marko Robnik‐Šikonja, Matjaž Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S. Maier, Lazar Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipović, Djordje G. Jakovljević, Zoran Bosnić	38
4	Mobile App for Symptom Management and Associated Quality of Life During Systemic Treatment in Early Stage Breast Cancer: Nonrandomized Controlled Prospective Cohort Study 2020 ·JMIR mhealth and uhealth ·Cvetka Grašič Kuhar, (unknown), (unknown), Matjaž Kukar, (unknown)	26
5	Diagnosing brain tumours by routine blood tests using machine learning 2019 ·Scientific Reports ·Simon Podnar, Matjaž Kukar, Gregor Gunčar, (unknown), (unknown), (unknown)	24
6	A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals 2018 ·Computer Methods and Programs in Biomedicine ·(unknown), Matjaž Kukar	7
7	Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease 2011 ·Artificial Intelligence in Medicine ·Matjaž Kukar, Igor Kononenko, Ciril Grošelj	13
8	Image processing and machine learning for fully automated probabilistic evaluation of medical images 2010 ·Computer Methods and Programs in Biomedicine ·(unknown), Matjaž Kukar	22
9	Separating Interleaved HTTP Sessions Using a Stochastic Model 2010 ·(unknown), Viljan Mahnič, Matjaž Kukar	1
10	DECISION SUPPORT SYSTEM TO SUPPORT DECISION PROCESSES WITH DATA MINING 2007 ·SHILAP Revista de lepidopterología ·Rok Rupnik, Matjaž Kukar	8
11	Integrating Data Mining and Decision Support through Data Mining Based Decision Support System 2007 ·Journal of Computer Information Systems ·Rok Rupnik, Matjaž Kukar, Marjan Krisper	27
12	Machine learning and data mining 2007 ·Woodhead Publishing Limited eBooks ·Igor Kononenko, Matjaž Kukar	40
13	Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics 2005 ·Computer Methods and Programs in Biomedicine ·(unknown), Matjaž Kukar, Igor Kononenko, (unknown)	16
14	Transductive Machine Learning for Reliable Medical Diagnostics 2005 ·Journal of Medical Systems ·Matjaž Kukar, Ciril Grošelj	6
15	Estimating confidence values of individual predictions by their typicalness and reliability 2004 ·European Conference on Artificial Intelligence ·Matjaž Kukar	1
16	Transductive reliability estimation for medical diagnosis 2003 ·Artificial Intelligence in Medicine ·Matjaž Kukar	38
17	Analysing and improving the diagnosis of ischaemic heart disease with machine learning 1999 ·Artificial Intelligence in Medicine ·Matjaž Kukar, Igor Kononenko, Ciril Grošelj, (unknown), Jure Fettich	97
18	Cost-Sensitive Learning with Neural Networks. 1998 ·European Conference on Artificial Intelligence ·Matjaž Kukar, Igor Kononenko	158
19	Intelligent data analysis for medical diagnosisc using machine learning and temporal abstraction 1998 ·AI Communications ·Nada Lavrač, Igor Kononenko, Elpida Keravnou, Matjaž Kukar, Blaž Zupan	17
20	Machine learning in prognosis of the femoral neck fracture recovery 1996 ·Artificial Intelligence in Medicine ·Matjaž Kukar, Igor Kononenko, (unknown)	25

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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