N. Dinh

36 papers receiving 663 citations

Peers

N. Dinh
Comparison fields: 5 of 38
  • Numerical Analysis 523
  • Computational Theory and Mathematics 669
  • Management Science and Operations Research 162
  • Geometry and Topology 104
  • Applied Mathematics 115
Replace N. D. Yen with:
N. D. Yen Vietnam
J. Parra Spain
Thái Doãn Chương Vietnam
Sorin‐Mihai Grad Germany
Bienvenido Jiménez Spain
Elena Molho Italy
Gue Myung Lee South Korea
M. J. Cánovas Spain
C. S. Lalitha India
B. M. Glover Australia
N. Dinh relative to N. D. Yen Vietnam N. D. Yen's profile →
Citations per field
00.5×2.8×
N. D. Yen · 1×
Citations per year

Countries citing papers authored by N. Dinh

Since Specialization
Citations

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

Fields of papers citing papers by N. Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside N. Dinh, 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 N. Dinh Line = papers co-authored together N. Dinh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200392
2 200787
3 200962
4
From linear to convex systems: consistency, Farkas' Lemma and applications
200662
5 200849
6 201441
7 200538
8 200435
9 200525
10 200521
11 200620
12 201317
13 201316
14 201015
15 201714
16 200813
17 200912
18 201712
19 201011
20 201810

About N. Dinh

N. Dinh is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Management Science and Operations Research, Control and Systems Engineering and Geometry and Topology, having authored 38 papers that have together received 723 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (37 papers), Advanced Optimization Algorithms Research (26 papers), Risk and Portfolio Optimization (11 papers), Optimization and Mathematical Programming (6 papers), Fixed Point Theorems Analysis (6 papers), Advanced Banach Space Theory (4 papers), Point processes and geometric inequalities (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Numerical Analysis (523 citations), Computational Theory and Mathematics (669 citations), Management Science and Operations Research (162 citations), Geometry and Topology (104 citations) and Applied Mathematics (115 citations). N. Dinh has collaborated with scholars based in Vietnam, Australia and Spain. Frequent co-authors include V. Jeyakumar, Marco A. López, Miguel Á. Goberna, G. M. Lee, T. T. A. Nghia, Guy Vallet, Boris S. Mordukhovich, Michel Volle, Zhiyou Wu and Jean Jacques Strodiot. Their work appears in journals such as Optimization, Journal of Optimization Theory and Applications, Journal of Global Optimization, Top and Mathematical Programming.

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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