R. Pytlak

678 total citations
53 papers, 413 citations indexed

About

R. Pytlak is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, R. Pytlak has authored 53 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Numerical Analysis, 32 papers in Computational Theory and Mathematics and 17 papers in Control and Systems Engineering. Recurrent topics in R. Pytlak's work include Advanced Optimization Algorithms Research (22 papers), Optimization and Variational Analysis (18 papers) and Advanced Control Systems Optimization (12 papers). R. Pytlak is often cited by papers focused on Advanced Optimization Algorithms Research (22 papers), Optimization and Variational Analysis (18 papers) and Advanced Control Systems Optimization (12 papers). R. Pytlak collaborates with scholars based in Poland, United Kingdom and United States. R. Pytlak's co-authors include Richard Vinter, Krzysztof Malinowski, S. Jankowski, Grzegorz Borowik, Zbigniew M. Wawrzyniak, Eliza Szczechla, Stanisław Niemczyk, Aleksandra Rymarz, Paweł Cichosz and Wojciech Olszewski and has published in prestigious journals such as European Journal of Operational Research, Lecture notes in mathematics and SIAM Journal on Control and Optimization.

In The Last Decade

R. Pytlak

45 papers receiving 369 citations

Peers

R. Pytlak
Amr El-Bakry Germany
Hande Y. Benson United States
M. J. D. Powell United Kingdom
J. E. Dennis United States
Hoàng Xuân Phú Vietnam
Feng Ma China
Xingsi Li China
Z. Drici United States
Tim Hoheisel Germany
Imre Pólik United States
Amr El-Bakry Germany
R. Pytlak
Citations per year, relative to R. Pytlak R. Pytlak (= 1×) peers Amr El-Bakry

Countries citing papers authored by R. Pytlak

Since Specialization
Citations

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

Fields of papers citing papers by R. Pytlak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Pytlak

This figure shows the co-authorship network connecting the top 25 collaborators of R. Pytlak. A scholar is included among the top collaborators of R. Pytlak 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 R. Pytlak. R. Pytlak 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.
2.
Pytlak, R., et al.. (2022). Trajectory sensitivity analysis of hybrid systems with sliding motion. Nonlinear Analysis Hybrid Systems. 45. 101202–101202. 1 indexed citations
3.
Wawrzyniak, Zbigniew M., R. Pytlak, Paweł Cichosz, et al.. (2020). The data-based methodology for crime forecasting. 4. 59–59. 1 indexed citations
4.
Pytlak, R., et al.. (2019). Application of dynamic optimisation for planning a haemodialysis process. BMC Nephrology. 20(1). 236–236. 3 indexed citations
5.
Wawrzyniak, Zbigniew M., et al.. (2018). Data-driven models in machine learning for crime prediction. 1–8. 10 indexed citations
6.
Pytlak, R., et al.. (2017). Simulation of hybrid systems with sliding modes. 1567. 419–424.
7.
Migdał, W., et al.. (2014). Radiation methods in decision support system for food safety. Nukleonika. 59(4). 161–168. 1 indexed citations
8.
Pytlak, R., et al.. (2014). IDOS - (also) a Web Based Tool for Calibrating Modelica Models. Linköping electronic conference proceedings. 96. 1095–1104. 5 indexed citations
9.
Pytlak, R., et al.. (2014). Decision Support System for Sanitary Teams Activities. International Journal of Decision Support System Technology. 6(3). 65–87. 1 indexed citations
10.
Pytlak, R., et al.. (2013). Solvers chaining in the IDOS server for dynamic optimization. 29. 7119–7124. 7 indexed citations
11.
Pytlak, R., et al.. (2007). Limited memory quasi-Newton methods for problems with box constraints. Proceedings of the ... American Control Conference. 29. 1257–1262.
12.
Pytlak, R.. (2004). Optimal control of higher index differential-algebraic equations. IFAC Proceedings Volumes. 37(13). 531–536. 1 indexed citations
13.
14.
Pytlak, R.. (1999). Numerical Methods for Optimal Control Problems with State Constraints. Lecture notes in mathematics. 122 indexed citations
15.
Pytlak, R. & Richard Vinter. (1998). A Feasible Directions Algorithm for Optimal Control Problems with State and Control Constraints: Convergence Analysis. SIAM Journal on Control and Optimization. 36(6). 1999–2019. 10 indexed citations
16.
Pytlak, R.. (1998). An Efficient Algorithm for Large-Scale Nonlinear Programming Problems with Simple Bounds on the Variables. SIAM Journal on Optimization. 8(2). 532–560. 19 indexed citations
17.
Pytlak, R.. (1992). A variational approach to the discrete maximum principle. IMA Journal of Mathematical Control and Information. 9(3). 197–220. 4 indexed citations
18.
Pytlak, R.. (1989). The Discrete Maximum Principle: Two Methods of Proof. IFAC Proceedings Volumes. 22(3). 313–319.
19.
Pytlak, R.. (1988). Discrete maximum principle for problems with lipschitzian functions. International Journal of Control. 48(2). 641–654. 2 indexed citations
20.
Pytlak, R.. (1987). On the Algorithms Based on the Maximum Principle for the Minimax Optimal Control Problems. IFAC Proceedings Volumes. 20(5). 51–57. 1 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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