Remigijus Paulavičius

1.3k total citations
48 papers, 728 citations indexed

About

Remigijus Paulavičius is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Remigijus Paulavičius has authored 48 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Numerical Analysis, 25 papers in Computational Theory and Mathematics and 23 papers in Artificial Intelligence. Recurrent topics in Remigijus Paulavičius's work include Advanced Optimization Algorithms Research (32 papers), Metaheuristic Optimization Algorithms Research (19 papers) and Numerical Methods and Algorithms (11 papers). Remigijus Paulavičius is often cited by papers focused on Advanced Optimization Algorithms Research (32 papers), Metaheuristic Optimization Algorithms Research (19 papers) and Numerical Methods and Algorithms (11 papers). Remigijus Paulavičius collaborates with scholars based in Lithuania, United Kingdom and Italy. Remigijus Paulavičius's co-authors include Julius Žilinskas, Ernestas Filatovas, Yaroslav D. Sergeyev, Dmitri E. Kvasov, Andreas Grothey, Leonardo Mostarda, Claire S. Adjiman, Audris Mockus, L. G. Casado and Richard Oberdieck and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Remigijus Paulavičius

45 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Remigijus Paulavičius Lithuania 16 362 354 250 107 106 48 728
Jan Outrata Czechia 16 288 0.8× 773 2.2× 180 0.7× 25 0.2× 166 1.6× 46 939
John W. Chinneck Canada 16 156 0.4× 292 0.8× 229 0.9× 395 3.7× 202 1.9× 68 1.1k
Didier El Baz France 15 118 0.3× 201 0.6× 161 0.6× 246 2.3× 35 0.3× 59 673
Stefan E. Karisch Austria 9 162 0.4× 286 0.8× 309 1.2× 200 1.9× 20 0.2× 11 1.1k
Santosh N. Kabadi Canada 10 296 0.8× 427 1.2× 103 0.4× 114 1.1× 12 0.1× 20 851
Zhigang Lian China 9 86 0.2× 136 0.4× 318 1.3× 98 0.9× 18 0.2× 21 704
Sanjeeb Dash United States 15 101 0.3× 278 0.8× 120 0.5× 109 1.0× 15 0.1× 46 714
Xiaodong Fan China 13 52 0.1× 471 1.3× 286 1.1× 37 0.3× 258 2.4× 40 866
Annabella Astorino Italy 16 134 0.4× 117 0.3× 263 1.1× 30 0.3× 28 0.3× 40 610

Countries citing papers authored by Remigijus Paulavičius

Since Specialization
Citations

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

Fields of papers citing papers by Remigijus Paulavičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remigijus Paulavičius

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

All Works

20 of 20 papers shown
1.
Paulavičius, Remigijus, et al.. (2024). Quantum circuit optimization of an integer divider. Journal of Systems and Software. 215. 112091–112091. 1 indexed citations
2.
Filatovas, Ernestas, et al.. (2024). Data-Driven Consensus Protocol Classification Using Machine Learning. Mathematics. 12(2). 221–221. 4 indexed citations
3.
Filatovas, Ernestas, et al.. (2024). Advancing Research Reproducibility in Machine Learning through Blockchain Technology. Informatica. 227–253.
4.
Kůdela, Jakub, et al.. (2024). Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 57–58. 1 indexed citations
5.
Paulavičius, Remigijus, et al.. (2023). Derivative-free DIRECT-type Global Optimization. 2 indexed citations
6.
Paulavičius, Remigijus, et al.. (2023). Lipschitz-inspired HALRECT algorithm for derivative-free global optimization. Journal of Global Optimization. 88(1). 139–169. 2 indexed citations
7.
Paulavičius, Remigijus, et al.. (2023). A New Genetic Algorithm for Personalized Tourist Trip Design. SSRN Electronic Journal. 1 indexed citations
8.
Filatovas, Ernestas, et al.. (2022). A MCDM-based framework for blockchain consensus protocol selection. Expert Systems with Applications. 204. 117609–117609. 32 indexed citations
9.
Paulavičius, Remigijus, et al.. (2022). Experimental Study of Excessive Local Refinement Reduction Techniques for Global Optimization DIRECT-Type Algorithms. Mathematics. 10(20). 3760–3760. 4 indexed citations
10.
Paulavičius, Remigijus, et al.. (2022). DIRECTGO : A New DIRECT -Type MATLAB Toolbox for Derivative-Free Global Optimization. ACM Transactions on Mathematical Software. 48(4). 1–46. 13 indexed citations
11.
Paulavičius, Remigijus, et al.. (2021). A Systematic Review and Empirical Analysis of Blockchain Simulators. IEEE Access. 9. 38010–38028. 34 indexed citations
12.
Oberdieck, Richard, et al.. (2021). Experimental Analysis of Algebraic Modelling Languages for Mathematical Optimization. Informatica. 283–304. 9 indexed citations
13.
Paulavičius, Remigijus, Yaroslav D. Sergeyev, Dmitri E. Kvasov, & Julius Žilinskas. (2019). Globally-biased BIRECT algorithm with local accelerators for expensive global optimization. Expert Systems with Applications. 144. 113052–113052. 40 indexed citations
14.
Paulavičius, Remigijus, et al.. (2019). BASBL: Branch-And-Sandwich BiLevel solver. Implementation and computational study with the BASBLib test set. Computers & Chemical Engineering. 132. 106609–106609. 8 indexed citations
15.
Paulavičius, Remigijus, et al.. (2017). Improved scheme for selection of potentially optimal hyper-rectangles in DIRECT. Optimization Letters. 12(7). 1699–1712. 19 indexed citations
16.
Paulavičius, Remigijus, Yaroslav D. Sergeyev, Dmitri E. Kvasov, & Julius Žilinskas. (2014). Globally-biased Disimpl algorithm for expensive global optimization. Journal of Global Optimization. 59(2-3). 545–567. 75 indexed citations
17.
Paulavičius, Remigijus & Julius Žilinskas. (2012). INFLUENCE OF LIPSCHITZ BOUNDS ON THE SPEED OF GLOBAL OPTIMIZATION. Technological and Economic Development of Economy. 18(1). 54–66. 4 indexed citations
18.
Paulavičius, Remigijus, Julius Žilinskas, & Andreas Grothey. (2011). Parallel branch and bound for global optimization with combination of Lipschitz bounds. Optimization methods & software. 26(3). 487–498. 15 indexed citations
19.
Paulavičius, Remigijus & Julius Žilinskas. (2008). IMPROVED LIPSCHITZ BOUNDS WITH THE FIRST NORM FOR FUNCTION VALUES OVER MULTIDIMENSIONAL SIMPLEX. Mathematical Modelling and Analysis. 13(4). 553–563. 12 indexed citations
20.
Paulavičius, Remigijus & Julius Žilinskas. (2007). ANALYSIS OF DIFFERENT NORMS AND CORRESPONDING LIPSCHITZ CONSTANTS FOR GLOBAL OPTIMIZATION IN MULTIDIMENSIONAL CASE. Information Technology And Control. 36(4). 26 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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