János D. Pintér

2.1k total citations
61 papers, 1.2k citations indexed

About

János D. Pintér is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Ocean Engineering. According to data from OpenAlex, János D. Pintér has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 17 papers in Numerical Analysis and 8 papers in Ocean Engineering. Recurrent topics in János D. Pintér's work include Advanced Optimization Algorithms Research (15 papers), Numerical Methods and Algorithms (11 papers) and Probabilistic and Robust Engineering Design (7 papers). János D. Pintér is often cited by papers focused on Advanced Optimization Algorithms Research (15 papers), Numerical Methods and Algorithms (11 papers) and Probabilistic and Robust Engineering Design (7 papers). János D. Pintér collaborates with scholars based in Canada, Hungary and United States. János D. Pintér's co-authors include F. J. Kampas, Ignacio Castillo, Giorgio Fasano, Tibor Csendes, Charoenchai Khompatraporn, Zelda B. Zabinsky, David Linder, Mysore G. Satish, Panagiotis Basinas and G. Skodras and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

János D. Pintér

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
János D. Pintér Canada 18 448 380 220 197 155 61 1.2k
C.D. Perttunen United States 5 504 1.1× 221 0.6× 54 0.2× 361 1.8× 193 1.2× 11 1.4k
Richard A. Waltz United States 11 237 0.5× 241 0.6× 68 0.3× 93 0.5× 265 1.7× 15 1.3k
Andrew Booker United States 13 1.0k 2.3× 153 0.4× 165 0.8× 299 1.5× 131 0.8× 18 1.7k
K.-T. Fang 4 443 1.0× 137 0.4× 148 0.7× 246 1.2× 49 0.3× 4 1.4k
David Yang Gao United States 24 1.0k 2.3× 623 1.6× 61 0.3× 113 0.6× 346 2.2× 116 2.0k
Gianni Di Pillo Italy 20 877 2.0× 871 2.3× 58 0.3× 219 1.1× 604 3.9× 48 1.8k
Erling D. Andersen Denmark 11 299 0.7× 334 0.9× 37 0.2× 54 0.3× 215 1.4× 18 927
Davide Serafini United States 3 437 1.0× 87 0.2× 57 0.3× 150 0.8× 64 0.4× 6 772
Charles S. Beightler United States 9 192 0.4× 146 0.4× 162 0.7× 85 0.4× 173 1.1× 28 842
Gregory R. Shubin United States 16 340 0.8× 143 0.4× 80 0.4× 39 0.2× 76 0.5× 28 1.2k

Countries citing papers authored by János D. Pintér

Since Specialization
Citations

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

Fields of papers citing papers by János D. Pintér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by János D. Pintér. 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 János D. Pintér. The network helps show where János D. Pintér may publish in the future.

Co-authorship network of co-authors of János D. Pintér

This figure shows the co-authorship network connecting the top 25 collaborators of János D. Pintér. A scholar is included among the top collaborators of János D. Pintér 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 János D. Pintér. János D. Pintér 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.
Castillo, Ignacio, János D. Pintér, & F. J. Kampas. (2024). The boundary-to-boundary p -dispersion configuration problem with oval objects. Journal of the Operational Research Society. 75(12). 2327–2337. 2 indexed citations
2.
Pintér, János D., Ignacio Castillo, & F. J. Kampas. (2024). Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems. Algorithms. 17(11). 480–480.
3.
Kampas, F. J., János D. Pintér, & Ignacio Castillo. (2023). Model Development and Solver Demonstrations Using Randomized Test Problems. Operations Research Forum. 4(1). 1 indexed citations
4.
Fasano, Giorgio & János D. Pintér. (2023). Modeling and Optimization in Space Engineering. Springer optimization and its applications. 1 indexed citations
5.
Pintér, János D., et al.. (2013). Groundwater remediation design using physics-based flow, transport, and optimization technologies. ENVIRONMENTAL SYSTEMS RESEARCH. 2(1). 6–6. 5 indexed citations
6.
Fasano, Giorgio & János D. Pintér. (2012). Modeling and Optimization in Space Engineering. Springer optimization and its applications. 70 indexed citations
7.
Mason, Thomas L., et al.. (2007). Integrated production system optimization using global optimization techniques. Journal of Industrial and Management Optimization. 3(2). 257–277. 9 indexed citations
8.
Castillo, Ignacio, F. J. Kampas, & János D. Pintér. (2007). Solving circle packing problems by global optimization: Numerical results and industrial applications. European Journal of Operational Research. 191(3). 786–802. 133 indexed citations
9.
Pintér, János D. & F. J. Kampas. (2006). Configuration Analysis and Design by Using Optimization Tools in Mathematica. 10(1). 128–154. 9 indexed citations
10.
Pintér, János D.. (2006). Global optimization : scientific and engineering case studies. CERN Document Server (European Organization for Nuclear Research). 46 indexed citations
11.
Pintér, János D., et al.. (2006). Global Optimization Toolbox for Maple: an introduction with illustrative applications. Optimization methods & software. 21(4). 565–582. 17 indexed citations
12.
Pintér, János D.. (2005). AIMMS/LGO Solver Engine.
13.
Pintér, János D., et al.. (2001). Finding elliptic Fekete points sets: two numerical solution approaches. Journal of Computational and Applied Mathematics. 130(1-2). 205–216. 17 indexed citations
14.
Pintér, János D., et al.. (1999). Finding elliptic Fekete point sets: two numerical solution approaches. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 12(1). 63–76. 1 indexed citations
15.
Pintér, János D., et al.. (1997). Computation of elliptic Fekete point sets. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–13. 3 indexed citations
16.
Pintér, János D., et al.. (1995). An intelligent decision support system for assisting industrial wastewater management. Annals of Operations Research. 58(6). 455–477. 8 indexed citations
17.
Pintér, János D.. (1992). Convergence qualification of adaptive partition algorithms in global optimization. Mathematical Programming. 56(1-3). 343–360. 33 indexed citations
18.
Pintér, János D.. (1987). A conceptual framework for regional acidification control. Systems Analysis Modelling Simulation. 4(3). 213–226. 3 indexed citations
19.
Pintér, János D.. (1986). Extended univariate algorithms for n-dimensional global optimization. Computing. 36(1-2). 91–103. 48 indexed citations
20.
Pintér, János D., et al.. (1986). Multiextremal optimization for calibrating water resources models. Environmental Software. 1(2). 98–105. 6 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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