Dragi Kocev

3.6k total citations · 1 hit paper
78 papers, 2.2k citations indexed

About

Dragi Kocev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Dragi Kocev has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Molecular Biology. Recurrent topics in Dragi Kocev's work include Text and Document Classification Technologies (21 papers), Machine Learning and Data Classification (15 papers) and Image Retrieval and Classification Techniques (10 papers). Dragi Kocev is often cited by papers focused on Text and Document Classification Technologies (21 papers), Machine Learning and Data Classification (15 papers) and Image Retrieval and Classification Techniques (10 papers). Dragi Kocev collaborates with scholars based in Slovenia, North Macedonia and Italy. Dragi Kocev's co-authors include Sašo Džeroski, Gjorgji Madjarov, Dejan Gjorgjevikj, Ivica Dimitrovski, Jan Struyf, Celine Vens, Suzana Loškovska, Matej Petković, Jurica Levatić and Michelangelo Ceci and has published in prestigious journals such as Nature Communications, PLoS ONE and The Plant Cell.

In The Last Decade

Dragi Kocev

77 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

An extensive experimental comparison of methods for multi-label learning

2012 497 citations Gjorgji Madjarov, Dragi Kocev et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dragi Kocev Slovenia	22	1.1k	521	427	296	165	78	2.2k
Stephan Winkler Austria	23	638 0.6×	464 0.9×	583 1.4×	217 0.7×	98 0.6×	121	2.7k
Bill Fulkerson United States	9	1.2k 1.1×	443 0.9×	168 0.4×	283 1.0×	163 1.0×	15	2.5k
Maria Halkidi Greece	13	1.7k 1.5×	589 1.1×	264 0.6×	605 2.0×	152 0.9×	30	3.1k
Enrico Blanzieri Italy	19	733 0.7×	250 0.5×	273 0.6×	389 1.3×	76 0.5×	89	1.7k
Ricardo J. G. B. Campello Brazil	24	2.4k 2.2×	591 1.1×	209 0.5×	373 1.3×	210 1.3×	67	3.4k
Tomás F. Pena Spain	13	645 0.6×	216 0.4×	267 0.6×	304 1.0×	84 0.5×	103	2.0k
K. R. K. Murthy Singapore	7	956 0.9×	653 1.3×	612 1.4×	230 0.8×	139 0.8×	12	2.8k
Sachi Nandan Mohanty India	33	888 0.8×	369 0.7×	163 0.4×	478 1.6×	30 0.2×	262	3.7k
Liang Liu China	29	319 0.3×	282 0.5×	773 1.8×	363 1.2×	238 1.4×	308	4.0k
Yuanyuan Chen China	26	653 0.6×	244 0.5×	309 0.7×	156 0.5×	35 0.2×	171	3.5k

Countries citing papers authored by Dragi Kocev

Since Specialization

Citations

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

Fields of papers citing papers by Dragi Kocev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dragi Kocev

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

Kocev, Dragi, et al.. (2025). SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 14882–14896. 1 indexed citations

Kocev, Dragi, et al.. (2024). Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 8 indexed citations

Ceci, Michelangelo, et al.. (2024). Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. International Journal of Intelligent Systems. 2024. 1–21. 3 indexed citations

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

Kocev, Dragi, et al.. (2023). Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images. Remote Sensing. 15(2). 538–538. 15 indexed citations

Kocev, Dragi, et al.. (2023). Data stream mining for predicting the thermal power consumption of the Mars Express spacecraft. Acta Astronautica. 210. 411–427. 1 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

Bogatinovski, Jasmin, Ljupčo Todorovski, Sašo Džeroski, & Dragi Kocev. (2022). Explaining the performance of multilabel classification methods with data set properties. International Journal of Intelligent Systems. 37(9). 6080–6122. 5 indexed citations

10.

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

11.

Eftimov, Tome & Dragi Kocev. (2019). Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification.. 5 indexed citations

12.

Korbee, Cornelis J., Dragi Kocev, E van Strijen, et al.. (2018). Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials. Nature Communications. 9(1). 358–358. 45 indexed citations

13.

Zalar, Polona, et al.. (2015). Halophily reloaded: new insights into the extremophilic life-style of Wallemia with the description of Wallemia hederae sp. nov. Fungal Diversity. 76(1). 97–118. 35 indexed citations

14.

Rashkovska, Aleksandra, Dragi Kocev, & Roman Trobec. (2015). Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling. Computer Methods and Programs in Biomedicine. 122(2). 136–148. 5 indexed citations

15.

Džeroski, Sašo, et al.. (2014). Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings. Springer eBooks. 5 indexed citations

16.

Dimitrovski, Ivica, Gjorgji Madjarov, Dragi Kocev, & Petre Lameski. (2014). Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data.. CLEF (Working Notes). 705–714. 2 indexed citations

17.

Zajc, Janja, Dragi Kocev, Aharon Oren, et al.. (2014). Chaophilic or chaotolerant fungi: a new category of extremophiles?. Frontiers in Microbiology. 5. 708–708. 42 indexed citations

18.

Keller, Reuben P., Dragi Kocev, & Sašo Džeroski. (2011). Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools. Diversity and Distributions. 17(3). 451–461. 41 indexed citations

19.

Dimitrovski, Ivica, Dragi Kocev, Suzana Loškovska, & Sašo Džeroski. (2010). Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees.. The Plant Cell. 23(2). 823–42. 5 indexed citations

20.

Schietgat, Leander, Celine Vens, Jan Struyf, et al.. (2010). Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinformatics. 11(1). 2–2. 138 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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