János D. Pintér

2.1k citations
94 papers · 1.7k · h-index 21

Impact in

Papers in

János D. Pintér

88 papers receiving 1.5k citations

Peers

János D. Pintér
Comparison fields: 5 of 116
  • Numerical Analysis 618
  • Computational Theory and Mathematics 700
  • Computer Graphics and Computer-Aided Design 145
  • Industrial and Manufacturing Engineering 333
  • Statistics, Probability and Uncertainty 144
Replace B.E. Stuckman with:
B.E. Stuckman United States
Paul D. Frank United States
C.D. Perttunen United States
Erling D. Andersen Denmark
Dominique Orban Canada
Warren Hare Canada
Jochem Zowe Germany
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Citations per field
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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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996386
2 2007156
3 200284
4 201282
5 200659
6 198657
7 199753
8 198647
9 199241
10 200537
11 198837
12 200932
13 200632
14 199730
15 201924
16 201524
17 200122
18 199322
19 200321
20 200620

About János D. Pintér

János D. Pintér is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering, Ocean Engineering and Industrial and Manufacturing Engineering, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (31 papers), Numerical Methods and Algorithms (21 papers), Matrix Theory and Algorithms (11 papers), Optimization and Packing Problems (10 papers), Advanced Control Systems Optimization (9 papers), Probabilistic and Robust Engineering Design (8 papers), Groundwater flow and contamination studies (7 papers) and Water resources management and optimization (7 papers). The work is most often cited by research in Numerical Analysis (618 citations), Computational Theory and Mathematics (700 citations), Computer Graphics and Computer-Aided Design (145 citations), Industrial and Manufacturing Engineering (333 citations) and Statistics, Probability and Uncertainty (144 citations). János D. Pintér has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include F. J. Kampas, Giorgio Fasano, Ignacio Castillo, Tibor Csendes, Charoenchai Khompatraporn, Zelda B. Zabinsky, David Linder, D.T. van der Molen, Géza Pesti and Mysore G. Satish. Their work appears in journals such as Annals of Operations Research, Journal of Global Optimization, Lecture notes in control and information sciences, European Journal of Operational Research 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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