Mariya Ptashnyk

1.0k citations
59 papers · 699 indexed · h-index 17
Topics
Advanced Mathematical Modeling in Engineering (31 papers)Composite Material Mechanics (13 papers)Advanced Numerical Methods in Computational Mathematics (10 papers)

In The Last Decade

Mariya Ptashnyk

54 papers receiving 667 citations

Peers

Mariya Ptashnyk
Comparison fields: 5 of 95
  • Plant Science 221
  • Computational Theory and Mathematics 190
  • Molecular Biology 121
  • Computational Mechanics 115
  • Mechanics of Materials 107
Replace V.S. Manoranjan with:
V.S. Manoranjan United States
Wujun Zhang China
Xingchang Wang China
Seth F. Oppenheimer United States
John A. Belward Australia
M. A. K. Azad Bangladesh
S. R. Kuo Taiwan
Shuping Chen China
Neville Fowkes Australia
B. López Spain
Mariya Ptashnyk relative to V.S. Manoranjan United States V.S. Manoranjan's profile →
Citations per field
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V.S. Manoranjan · 1×
Citations per year

Countries citing papers authored by Mariya Ptashnyk

Since Specialization
Citations

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

Fields of papers citing papers by Mariya Ptashnyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariya Ptashnyk

This figure shows the co-authorship network connecting the top 25 collaborators of Mariya Ptashnyk. A scholar is included among the top collaborators of Mariya Ptashnyk 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 Mariya Ptashnyk. Mariya Ptashnyk 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
#WorkIndexed citations
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Multiscale analysis of a system of elastic-viscoelastic and reaction-diffusion equations modelling plant cell wall biomechanics
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14 11
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17 78
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About Mariya Ptashnyk

Mariya Ptashnyk is a scholar working on Computational Theory and Mathematics, Modeling and Simulation and Mathematical Physics, having authored 59 papers that have together received 699 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (31 papers), Composite Material Mechanics (13 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). The work is most often cited by research in Modeling and Simulation (89 citations), Computational Theory and Mathematics (190 citations) and Soil Science (67 citations). Mariya Ptashnyk has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Anna Marciniak‐Czochra, Tiina Roose, G. J. D. Kirk, Lionel Dupuy, Alan Marchant, Sabine Klepsch, Daniel Leitner, Andrea Schnepf, Davey L. Jones and Mark A. J. Chaplain. Their work appears in journals such as New Phytologist, Journal of Experimental Botany and Plant Cell & Environment.

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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