Borko Boškovič

5.2k total citations · 2 hit papers
49 papers, 3.9k citations indexed

About

Borko Boškovič is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Borko Boškovič has authored 49 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in Borko Boškovič's work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (24 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Borko Boškovič is often cited by papers focused on Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (24 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Borko Boškovič collaborates with scholars based in Slovenia, United States and Mexico. Borko Boškovič's co-authors include Janez Brest, V. Žumer, Marjan Mernik, Mirjam Sepesy Maučec, Aleš Zamuda, Iztok Fister, Jurij Šilc, Peter Korošec, Efrén Mezura‐Montes and Zdravko Kačič and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Borko Boškovič

46 papers receiving 3.8k 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.

Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems

2006 2.3k citations Janez Brest, Borko Boškovič et al. profile →
Single objective real-parameter optimization: Algorithm jSO

2017 313 citations Janez Brest, Mirjam Sepesy Maučec et al. profile →

Peers

Borko Boškovič

AI

CTM

EEE

CSE

CVPR

V. L. Huang Singapore

V. Žumer Slovenia

Guangming Lin China

Anne Auger France

Rui Mendes Portugal

Uday K. Chakraborty United States

Heinz Mühlenbein Germany

M. Montaz Ali South Africa

Mahamed G. H. Omran Kuwait

Konstantinos E. Parsopoulos Greece

V. L. Huang Singapore

Borko Boškovič

2.4k ×0.8

AI

1.7k ×0.8

CTM

530 ×1.3

EEE

429 ×1.1

CSE

212 ×0.9

CVPR

Citations per year, relative to Borko Boškovič Borko Boškovič (= 1×) peers V. L. Huang

Countries citing papers authored by Borko Boškovič

Since Specialization

Citations

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

Fields of papers citing papers by Borko Boškovič

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Borko Boškovič

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Boškovič, Borko, et al.. (2025). Improving mutation strategies in differential evolution with a new pbest selection mechanism. Applied Soft Computing. 185. 113978–113978. 1 indexed citations

2.

Boškovič, Borko, et al.. (2024). Parallel self-avoiding walks for a low-autocorrelation binary sequences problem. Journal of Computational Science. 77. 102260–102260. 2 indexed citations

3.

Brest, Janez, et al.. (2024). An Efficient Algorithm for Designing Long Aperiodic Binary Sequences With Low Auto-Correlation Sidelobes. IEEE Access. 12. 108921–108927.

4.

Brest, Janez, et al.. (2023). Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems. Information Sciences. 633. 469–490. 3 indexed citations

5.

Brest, Janez & Borko Boškovič. (2022). Computational Search of Long Skew-symmetric Binary Sequences with High Merit Factors. SHILAP Revista de lepidopterología. 28(2). 17–24. 1 indexed citations

6.

Erjavec, Tomaž, et al.. (2019). Corpus of Academic Slovene (BSc/BA theses) KAS-dipl 1.0. Americanae (AECID Library). 1 indexed citations

7.

Erjavec, Tomaž, et al.. (2019). Corpus of Academic Slovene KAS 1.0. Americanae (AECID Library). 2 indexed citations

8.

Maučec, Mirjam Sepesy, Janez Brest, Borko Boškovič, & Zdravko Kačič. (2018). Improved Differential Evolution for Large-Scale Black-Box Optimization. IEEE Access. 6. 29516–29531. 21 indexed citations

9.

Brest, Janez & Borko Boškovič. (2018). A Heuristic Algorithm for a Low Autocorrelation Binary Sequence Problem With Odd Length and High Merit Factor. IEEE Access. 6. 4127–4134. 14 indexed citations

10.

Boškovič, Borko & Janez Brest. (2016). Differential evolution for protein folding optimization based on a three-dimensional AB off-lattice model. Journal of Molecular Modeling. 22(10). 252–252. 15 indexed citations

11.

Brest, Janez, Mirjam Sepesy Maučec, & Borko Boškovič. (2016). iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization. 1188–1195. 137 indexed citations

12.

Brest, Janez, Aleš Zamuda, Iztok Fister, & Borko Boškovič. (2014). Some Improvements of the Self-Adaptive jDE Algorithm. 1–8. 20 indexed citations

13.

Brest, Janez, Borko Boškovič, Aleš Zamuda, Iztok Fister, & Efrén Mezura‐Montes. (2013). Real Parameter Single Objective Optimization using self-adaptive differential evolution algorithm with more strategies. 377–383. 30 indexed citations

14.

Boškovič, Borko, et al.. (2013). Performance tuning of Java EE application servers with multi-objective differential evolution. 2. 69–76. 3 indexed citations

15.

Brest, Janez, Peter Korošec, Jurij Šilc, et al.. (2011). Differential evolution and differential ant-stigmergy on dynamic optimisation problems. International Journal of Systems Science. 44(4). 663–679. 44 indexed citations

16.

Boškovič, Borko, et al.. (2010). History mechanism supported differential evolution for chess evaluation function tuning. Soft Computing. 15(4). 667–683. 19 indexed citations

17.

Brest, Janez, Borko Boškovič, & V. Žumer. (2010). An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization. 1–8. 33 indexed citations

18.

Zamuda, Aleš, Janez Brest, Borko Boškovič, & V. Žumer. (2008). Large Scale Global Optimization using Differential Evolution with self-adaptation and cooperative co-evolution. 3718–3725. 88 indexed citations

19.

Boškovič, Borko, et al.. (2005). The representation of chess game. 17. 359–364. 2 indexed citations

20.

Boškovič, Borko, et al.. (2004). Security issues in information systems based on open-source technologies. 2. 12–15. 5 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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