Boris Čule

514 total citations
22 papers, 203 citations indexed

About

Boris Čule is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Boris Čule has authored 22 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Boris Čule's work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Boris Čule is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Boris Čule collaborates with scholars based in Belgium, Netherlands and Australia. Boris Čule's co-authors include Bart Goethals, Cheng Zhou, Nikolaj Tatti, Pieter Meysman, Kris Laukens, Walter Daelemans, Kim Luyckx, Pieter Moris, Wout Bittremieux and Celine Vens and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Journal of Biomedical Informatics.

In The Last Decade

Boris Čule

22 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Boris Čule Belgium	8	106	75	69	44	33	22	203
Jiawei Han China	5	105 1.0×	41 0.5×	14 0.2×	48 1.1×	57 1.7×	9	168
Mikhail Petrovskiy Russia	8	144 1.4×	60 0.8×	16 0.2×	18 0.4×	27 0.8×	27	205
Dai Quoc Nguyen Vietnam	9	167 1.6×	93 1.2×	46 0.7×	15 0.3×	24 0.7×	17	243
Mostofa Patwary United States	5	147 1.4×	26 0.3×	22 0.3×	32 0.7×	39 1.2×	10	210
Zhongli Ding United States	6	170 1.6×	46 0.6×	51 0.7×	36 0.8×	37 1.1×	10	206
Mohannad Alhanahnah United States	8	151 1.4×	103 1.4×	102 1.5×	26 0.6×	22 0.7×	16	287
Cliff Brunk United States	5	154 1.5×	54 0.7×	46 0.7×	11 0.3×	56 1.7×	7	210
Ziyue Qiao China	8	173 1.6×	39 0.5×	15 0.2×	29 0.7×	46 1.4×	24	246
Manuel S. Lazo-Cortés Mexico	9	144 1.4×	62 0.8×	24 0.3×	17 0.4×	34 1.0×	28	220
Delaram Kahrobaei United States	7	168 1.6×	48 0.6×	9 0.1×	21 0.5×	41 1.2×	42	266

Countries citing papers authored by Boris Čule

Since Specialization

Citations

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

Fields of papers citing papers by Boris Čule

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Čule

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

Lindelauf, Roy, et al.. (2024). Dealing with Multiple Optimization Objectives for UAV Path Planning in Hostile Environments: A Literature Review. Preprints.org. 2 indexed citations

Lindelauf, Roy, et al.. (2024). Dealing with Multiple Optimization Objectives for UAV Path Planning in Hostile Environments: A Literature Review. Drones. 8(12). 769–769. 2 indexed citations

Gajewski, Piotr, et al.. (2023). Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market. Journal of theoretical and applied electronic commerce research. 18(3). 1365–1403. 4 indexed citations

Čule, Boris, et al.. (2023). Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. 66–75. 2 indexed citations

Čule, Boris, et al.. (2022). Face in the Game: Using Facial Action Units to Track Expertise in Competitive Video Game Play. Research portal (Tilburg University). 112–118. 5 indexed citations

Čule, Boris, et al.. (2022). RASCL: a randomised approach to subspace clusters. International Journal of Data Science and Analytics. 14(3). 243–259. 1 indexed citations

Čule, Boris, et al.. (2022). PETSC: pattern-based embedding for time series classification. Data Mining and Knowledge Discovery. 36(3). 1015–1061. 17 indexed citations

Čule, Boris, et al.. (2020). Combining instance and feature neighbours for extreme multi-label classification. International Journal of Data Science and Analytics. 10(3). 215–231. 4 indexed citations

Čule, Boris, et al.. (2019). Efficiently mining cohesion-based patterns and rules in event sequences. Data Mining and Knowledge Discovery. 33(4). 1125–1182. 3 indexed citations

10.

Meysman, Pieter, Wout Bittremieux, Pieter Moris, et al.. (2018). Grasping frequent subgraph mining for bioinformatics applications. BioData Mining. 11(1). 20–20. 30 indexed citations

11.

Čule, Boris, et al.. (2017). Selecting relevant features from the electronic health record for clinical code prediction. Journal of Biomedical Informatics. 74. 92–103. 35 indexed citations

12.

Čule, Boris, et al.. (2017). Pattern Mining for Learning Typical Turbine Response During Dynamic Wind Turbine Events. 1 indexed citations

13.

Čule, Boris, et al.. (2017). Combining Instance and Feature Neighbors for Efficient Multi-label Classification. Anet (University of Antwerp). 14. 109–118. 2 indexed citations

14.

Meysman, Pieter, Cheng Zhou, Boris Čule, Bart Goethals, & Kris Laukens. (2015). Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns. BioData Mining. 8(1). 4–4. 12 indexed citations

15.

Zhou, Cheng, Boris Čule, & Bart Goethals. (2015). A pattern based predictor for event streams. Expert Systems with Applications. 42(23). 9294–9306. 16 indexed citations

16.

Zhou, Cheng, Boris Čule, & Bart Goethals. (2015). Pattern Based Sequence Classification. IEEE Transactions on Knowledge and Data Engineering. 28(5). 1285–1298. 35 indexed citations

17.

Zhou, Cheng, Pieter Meysman, Boris Čule, Kris Laukens, & Bart Goethals. (2014). Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(5). 814–825. 5 indexed citations

18.

Čule, Boris, Nikolaj Tatti, & Bart Goethals. (2013). MARBLES: Mining association rules buried in long event sequences. Statistical Analysis and Data Mining The ASA Data Science Journal. 7(2). 93–110. 9 indexed citations

19.

Čule, Boris, Nikolaj Tatti, & Bart Goethals. (2012). MARBLES: Mining Association Rules Buried in Long Event Sequences. 248–259. 1 indexed citations

20.

Tatti, Nikolaj & Boris Čule. (2010). Mining Closed Strict Episodes. 10 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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