Matej Petković

461 total citations
16 papers, 244 citations indexed

About

Matej Petković is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Matej Petković has authored 16 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Matej Petković's work include Text and Document Classification Technologies (6 papers), Machine Learning in Bioinformatics (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Matej Petković is often cited by papers focused on Text and Document Classification Technologies (6 papers), Machine Learning in Bioinformatics (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Matej Petković collaborates with scholars based in Slovenia, Germany and United Kingdom. Matej Petković's co-authors include Dragi Kocev, Barbara Koroušić Seljak, Gorjan Popovski, Tome Eftimov, Sašo Džeroski, Nikola Simidjievski, Jurica Levatić, Blaž Škrlj, Ivica Slavkov and Bernard Ženko and has published in prestigious journals such as Trends in Food Science & Technology, Machine Learning and Applied Soft Computing.

In The Last Decade

Matej Petković

16 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matej Petković Slovenia	6	64	62	56	24	24	16	244
Gorjan Popovski Slovenia	8	133 2.1×	62 1.0×	82 1.5×	97 4.0×	23 1.0×	18	321
Haruhiko Ogasawara Japan	14	69 1.1×	15 0.2×	79 1.4×	12 0.5×	6 0.3×	130	749
Abigail L. Horn United States	7	22 0.3×	11 0.2×	56 1.0×	51 2.1×	14 0.6×	12	216
Amjad Ali Pakistan	11	34 0.5×	32 0.5×	5 0.1×	24 1.0×	10 0.4×	44	382
Adyasha Maharana United States	8	52 0.8×	12 0.2×	20 0.4×	21 0.9×	9 0.4×	14	231
Sergio Bolasco Italy	6	35 0.5×	10 0.2×	37 0.7×	7 0.3×	5 0.2×	13	288
Ana M. Bianco Argentina	10	77 1.2×	23 0.4×	21 0.4×	3 0.1×	15 0.6×	32	440
Chien‐Pai Han United States	10	86 1.3×	19 0.3×	16 0.3×	18 0.8×	4 0.2×	54	546
Jorge L. Bazán Brazil	14	124 1.9×	42 0.7×	7 0.1×	6 0.3×	4 0.2×	59	593
Angela Montanari Italy	10	133 2.1×	13 0.2×	24 0.4×	21 0.9×	2 0.1×	34	286

Countries citing papers authored by Matej Petković

Since Specialization

Citations

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

Fields of papers citing papers by Matej Petković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matej Petković

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

All Works

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16 of 16 papers shown

Petković, Matej, et al.. (2023). CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX. 24. 101526–101526. 5 indexed citations

Petković, Matej, Michelangelo Ceci, Gianvito Pio, et al.. (2022). Relational tree ensembles and feature rankings. Knowledge-Based Systems. 251. 109254–109254. 4 indexed citations

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

Petković, Matej, Sašo Džeroski, & Dragi Kocev. (2022). Feature ranking for semi-supervised learning. Machine Learning. 112(11). 4379–4408. 8 indexed citations

Finn, Timothy, Nikola Simidjievski, G. Bélanger, et al.. (2022). Machine learning for effective spacecraft operation: Operating INTEGRAL through dynamic radiation environments. Advances in Space Research. 69(11). 3909–3920. 2 indexed citations

Petković, Matej, Blaž Škrlj, Dragi Kocev, & Nikola Simidjievski. (2021). Fuzzy Jaccard Index: A robust comparison of ordered lists. Applied Soft Computing. 113. 107849–107849. 8 indexed citations

Eftimov, Tome, Gorjan Popovski, Matej Petković, Barbara Koroušić Seljak, & Dragi Kocev. (2020). COVID-19 pandemic changes the food consumption patterns. Trends in Food Science & Technology. 104. 268–272. 130 indexed citations

Petković, Matej, Gorjan Popovski, Barbara Koroušić Seljak, Dragi Kocev, & Tome Eftimov. (2020). DietHub: Dietary habits analysis through understanding the content of recipes. Trends in Food Science & Technology. 107. 183–194. 3 indexed citations

Petković, Matej, Sašo Džeroski, & Dragi Kocev. (2020). Feature Ranking for Hierarchical Multi-Label Classification with Tree Ensemble Methods. Acta Polytechnica Hungarica. 17(10). 129–148. 4 indexed citations

10.

Petković, Matej, Ivica Slavkov, Dragi Kocev, & Sašo Džeroski. (2020). Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. Computers in Biology and Medicine. 128. 104143–104143. 5 indexed citations

11.

Petković, Matej, Sašo Džeroski, & Dragi Kocev. (2020). Multi-label feature ranking with ensemble methods. Machine Learning. 109(11). 2141–2159. 8 indexed citations

12.

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

13.

Petković, Matej, Dragi Kocev, & Sašo Džeroski. (2019). Feature ranking for multi-target regression. Machine Learning. 109(6). 1179–1204. 39 indexed citations

14.

Petković, Matej, et al.. (2019). Quantifying the Effects of Gyroless Flying of the Mars Express Spacecraft with Machine Learning. 9–16. 5 indexed citations

15.

Slavkov, Ivica, Matej Petković, Dragi Kocev, & Sašo Džeroski. (2018). Quantitative Score for Assessing the Quality of Feature Rankings. 42(1). 1 indexed citations

16.

Kocev, Dragi, et al.. (2017). Predicting Thermal Power Consumption of the Mars Express Satellite with Machine Learning. 88–93. 4 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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