Maria Emelianenko

678 total citations
31 papers, 460 citations indexed

About

Maria Emelianenko is a scholar working on Materials Chemistry, Computational Mechanics and Condensed Matter Physics. According to data from OpenAlex, Maria Emelianenko has authored 31 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 8 papers in Computational Mechanics and 7 papers in Condensed Matter Physics. Recurrent topics in Maria Emelianenko's work include Theoretical and Computational Physics (7 papers), Material Dynamics and Properties (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). Maria Emelianenko is often cited by papers focused on Theoretical and Computational Physics (7 papers), Material Dynamics and Properties (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). Maria Emelianenko collaborates with scholars based in United States, Austria and Chile. Maria Emelianenko's co-authors include Qiang Du, Lili Ju, Shlomo Ta’asan, David Kinderlehrer, Katayun Barmak, Zi‐Kui Liu, Dmitry Golovaty, Yekaterina Epshteyn, Terrence J. Collins and Mingzhen Tian and has published in prestigious journals such as Physical Review B, Acta Materialia and Scientific Reports.

In The Last Decade

Maria Emelianenko

27 papers receiving 417 citations

Peers

Maria Emelianenko
Comparison fields: 5 of 101
  • Computational Mechanics 121
  • Computer Graphics and Computer-Aided Design 92
  • Materials Chemistry 81
  • Computer Networks and Communications 77
  • Computer Vision and Pattern Recognition 73
Replace S. Chen with:
S. Chen United States
Stuart Slattery United States
L. E. Scales United Kingdom
George Beckett United Kingdom
Ayan Biswas United States
P. Girdinio Italy
Minoru Tanaka Japan
Edgar A. Ramos United States
Timothy J. Tautges United States
Tiong-Seng Tay Singapore
S. Chen United States View profile →
Citations per field, relative to Maria Emelianenko
Maria Emelianenko · 1×
Citations per year, relative to Maria Emelianenko
Maria Emelianenko · 1×

Countries citing papers authored by Maria Emelianenko

Since Specialization
Citations

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

Fields of papers citing papers by Maria Emelianenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Emelianenko

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Emelianenko. A scholar is included among the top collaborators of Maria Emelianenko 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 Maria Emelianenko. Maria Emelianenko 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
# Work Indexed citations
1 5
2 6
3 2
4 10
5 1
6 1
7 2
8 3
9 0
10 6
11 2
12 30
13 3
14 4
15 17
16 26
17 208
18 44
19
Uniform Convergence of a Multilevel Energy-based Quantization Scheme
5
20 14

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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