János D. Pintér

2.1k citations
61 papers · 1.2k · h-index 18

Impact in

Papers in

János D. Pintér

59 papers receiving 1.1k citations

Peers

János D. Pintér
Comparison fields: 5 of 113
  • Numerical Analysis 380
  • Computational Theory and Mathematics 448
  • Computer Graphics and Computer-Aided Design 95
  • Industrial and Manufacturing Engineering 220
  • Statistics, Probability and Uncertainty 108
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C.D. Perttunen United States
Richard A. Waltz United States
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Charles S. Beightler United States
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János D. Pintér relative to C.D. Perttunen United States C.D. Perttunen's profile →
Citations per field
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C.D. Perttunen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside János D. Pintér, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with János D. Pintér Line = papers co-authored together János D. Pintér links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996286
2 2007133
3 201270
4 198648
5 200646
6 199745
7 198642
8 199233
9 200932
10 200532
11 198832
12 200628
13 199319
14 200617
15 200117
16 201517
17 200317
18 201917
19 201917
20 198613

About János D. Pintér

János D. Pintér is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Ocean Engineering, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (15 papers), Numerical Methods and Algorithms (11 papers), Optimization and Packing Problems (7 papers), Groundwater flow and contamination studies (7 papers), Probabilistic and Robust Engineering Design (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Matrix Theory and Algorithms (5 papers) and Optimization and Variational Analysis (5 papers). The work is most often cited by research in Numerical Analysis (380 citations), Computational Theory and Mathematics (448 citations), Computer Graphics and Computer-Aided Design (95 citations), Industrial and Manufacturing Engineering (220 citations) and Statistics, Probability and Uncertainty (108 citations). János D. Pintér has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include F. J. Kampas, Ignacio Castillo, Giorgio Fasano, Charoenchai Khompatraporn, Tibor Csendes, Zelda B. Zabinsky, David Linder, G. Pantoleontos, G.P. Sakellaropoulos and Panagiotis Basinas. Their work appears in journals such as Annals of Operations Research, Journal of Global Optimization, European Journal of Operational Research, Optimization Letters and Optimization.

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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