Panče Panov

2.0k total citations
30 papers, 447 citations indexed

About

Panče Panov is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Panče Panov has authored 30 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Panče Panov's work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers) and Data Stream Mining Techniques (5 papers). Panče Panov is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers) and Data Stream Mining Techniques (5 papers). Panče Panov collaborates with scholars based in Slovenia, United Kingdom and Germany. Panče Panov's co-authors include Sašo Džeroski, Larisa Soldatova, Andrej Kobler, Daniela Stojanova, Nives Škunca, Fran Supek, Tomislav Šmuc, Dragi Kocev, Anita Kriško and Matko Bošnjak and has published in prestigious journals such as Scientific Reports, Information Sciences and PLoS Computational Biology.

In The Last Decade

Panče Panov

26 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Panče Panov Slovenia	8	220	114	108	86	71	30	447
Natalia Villanueva‐Rosales United States	11	172 0.8×	19 0.2×	41 0.4×	71 0.8×	182 2.6×	34	483
Shyam Boriah United States	13	337 1.5×	40 0.4×	117 1.1×	95 1.1×	26 0.4×	31	679
Kamalika Das United States	11	218 1.0×	35 0.3×	67 0.6×	52 0.6×	23 0.3×	33	454
Xinyan Fan China	13	272 1.2×	47 0.4×	79 0.7×	323 3.8×	30 0.4×	51	731
Daniela Stojanova Slovenia	7	76 0.3×	125 1.1×	108 1.0×	21 0.2×	42 0.6×	10	322
Jianting Zhang United States	17	149 0.7×	41 0.4×	95 0.9×	267 3.1×	23 0.3×	80	999
Marco Reale New Zealand	13	112 0.5×	25 0.2×	31 0.3×	26 0.3×	13 0.2×	50	584
Jonathan de Andrade Silva Brazil	11	418 1.9×	47 0.4×	50 0.5×	60 0.7×	19 0.3×	26	694
Adam Kiersztyn Poland	13	214 1.0×	19 0.2×	56 0.5×	26 0.3×	13 0.2×	48	520
William B. Yates United Kingdom	7	176 0.8×	49 0.4×	55 0.5×	32 0.4×	12 0.2×	12	344

Countries citing papers authored by Panče Panov

Since Specialization

Citations

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

Fields of papers citing papers by Panče Panov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panče Panov

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

Panov, Panče, et al.. (2025). iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification. Machine Learning. 114(2).

Doerr, Carola, et al.. (2025). Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 487–490.

Panov, Panče, et al.. (2024). Change detection and adaptation in multi-target regression on data streams. Machine Learning. 113(11-12). 8585–8622. 1 indexed citations

Panov, Panče, et al.. (2024). Predicting Employee Absence from Historical Absence Profiles with Machine Learning. Applied Sciences. 14(16). 7037–7037.

Dimitrovski, Ivica, et al.. (2023). AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote Sensing. 15(9). 2343–2343. 6 indexed citations

Doerr, Carola, et al.. (2022). Explainable Model-specific Algorithm Selection for Multi-Label Classification. SPIRE - Sciences Po Institutional REpository. 39–46. 2 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

Vermetten, Diederick, et al.. (2022). OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Transactions on Evolutionary Computation. 27(6). 1618–1632. 5 indexed citations

Bogatinovski, Jasmin, et al.. (2022). A catalogue with semantic annotations makes multilabel datasets FAIR. Scientific Reports. 12(1). 7267–7267. 5 indexed citations

10.

Tropin, Y., et al.. (2021). Investigation of the manifestation of the reaction of choice among combatants after performing exercises with tennis balls. The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy. 71–82. 1 indexed citations

11.

Panov, Panče, et al.. (2020). Incremental predictive clustering trees for online semi-supervised multi-target regression. Machine Learning. 109(11). 2121–2139. 6 indexed citations

12.

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

13.

Ławrynowicz, Agnieszka, et al.. (2017). An algorithm, implementation and execution ontology design pattern. TU/e Research Portal. 55–68.

14.

Džeroski, Sašo, Dragi Kocev, & Panče Panov. (2016). Special issue on discovery science. Machine Learning. 105(1). 1–2. 5 indexed citations

15.

Panov, Panče, et al.. (2016). Multi-label classification via multi-target regression on data streams. Machine Learning. 106(6). 745–770. 54 indexed citations

16.

Panov, Panče, Larisa Soldatova, & Sašo Džeroski. (2015). Representing bioinformatics datatypes using the OntoDT ontology.. 1 indexed citations

17.

Panov, Panče, Larisa Soldatova, & Sašo Džeroski. (2015). Generic ontology of datatypes. Information Sciences. 329. 900–920. 27 indexed citations

18.

Džeroski, Sašo, Panče Panov, Dragi Kocev, & Ljupčo Todorovski. (2014). Discovery Science. Lecture notes in computer science. 2 indexed citations

19.

Škunca, Nives, Matko Bošnjak, Anita Kriško, et al.. (2013). Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. PLoS Computational Biology. 9(1). e1002852–e1002852. 32 indexed citations

20.

Džeroski, Sašo, et al.. (2006). Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data.. EnviroInfo. 125–133. 7 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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