Dmitriy Leykekhman

700 citations
28 papers · 438 · h-index 14

Impact in

Papers in

Dmitriy Leykekhman

26 papers receiving 409 citations

Peers

Dmitriy Leykekhman
Comparison fields: 5 of 33
  • Numerical Analysis 144
  • Computational Theory and Mathematics 322
  • Computational Mechanics 370
  • Mathematical Physics 68
  • Applied Mathematics 45
Replace János Karátson with:
János Karátson Hungary
Mariano Mateos Spain
Alan Demlow United States
Christian Kreuzer Germany
Constantin Bǎcuţǎ United States
Yidu Yang China
Ayçıl Çeşmeli̇oğlu United States
Société de mathématiques appliquées et industrielles
Burak Aksoylu United States
Brigitte Métivet France
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Citations per field
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Citations per year

Countries citing papers authored by Dmitriy Leykekhman

Since Specialization
Citations

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

Fields of papers citing papers by Dmitriy Leykekhman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Dmitriy Leykekhman, 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 Dmitriy Leykekhman Line = papers co-authored together Dmitriy Leykekhman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201041
2 200939
3 201133
4 201232
5 201331
6 201630
7 201129
8 201227
9 201626
10 200821
11 201619
12 201217
13 200417
14 201314
15 201613
16 200810
17 20208
18 20187
19 20076
20 20165

About Dmitriy Leykekhman

Dmitriy Leykekhman is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis, Mechanics of Materials and Mathematical Physics, having authored 28 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (26 papers), Advanced Mathematical Modeling in Engineering (23 papers), Differential Equations and Numerical Methods (7 papers), Numerical methods in engineering (6 papers), Numerical methods in inverse problems (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Contact Mechanics and Variational Inequalities (3 papers) and Navier-Stokes equation solutions (1 paper). The work is most often cited by research in Numerical Analysis (144 citations), Computational Theory and Mathematics (322 citations), Computational Mechanics (370 citations), Mathematical Physics (68 citations) and Applied Mathematics (45 citations). Dmitriy Leykekhman has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Boris Vexler, Matthias Heinkenschloss, Johnny Guzmán, A. H. Schatz, Lars B. Wahlbin, Michael Neilan, J. Roßmann, Buyang Li, Erik Burman and Alan Demlow. Their work appears in journals such as SIAM Journal on Numerical Analysis, Mathematics of Computation, Numerische Mathematik, CALCOLO and IMA Journal of Numerical Analysis.

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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