Marcela Molina-Meyer

409 citations
18 papers · 282 indexed · h-index 10
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (8 papers)Nonlinear Partial Differential Equations (5 papers)Mathematical Biology Tumor Growth (5 papers)
Partner nations
SpainUnited States

In The Last Decade

Marcela Molina-Meyer

17 papers receiving 255 citations

Peers

Marcela Molina-Meyer
Comparison fields: 5 of 31
  • Applied Mathematics 179
  • Computational Theory and Mathematics 117
  • Public Health, Environmental and Occupational Health 95
  • Modeling and Simulation 66
  • Mathematical Physics 54
Replace Rosa Pardo with:
Rosa Pardo Spain
Mostafa Bendahmane France
Sandro Merino Switzerland
Wenxian Shen United States
Kenichiro Umezu Japan
Hiroki Yagisita Japan
Changbing Hu United States
Weihua Ruan United States
François Hamel France
Maria Assunta Pozio Italy
Marcela Molina-Meyer relative to Rosa Pardo Spain Rosa Pardo's profile →
Citations per field
00.5×1.5×
Rosa Pardo · 1×
Citations per year

Countries citing papers authored by Marcela Molina-Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Molina-Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcela Molina-Meyer. 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 Marcela Molina-Meyer. The network helps show where Marcela Molina-Meyer may publish in the future.

Co-authorship network of co-authors of Marcela Molina-Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela Molina-Meyer. A scholar is included among the top collaborators of Marcela Molina-Meyer 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 Marcela Molina-Meyer. Marcela Molina-Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 2
3 11
4 9
5 6
6 6
7 9
8 9
9 4
10 25
11 17
12 29
13 6
14 12
15 19
16 17
17 92
18 9

About Marcela Molina-Meyer

Marcela Molina-Meyer is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 18 papers that have together received 282 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Nonlinear Partial Differential Equations (5 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Applied Mathematics (179 citations), Modeling and Simulation (66 citations) and Numerical Analysis (41 citations). Marcela Molina-Meyer has collaborated with scholars based in Spain and United States. Frequent co-authors include Julián López-Gómez, A. Tellini, Paul H. Rabinowitz, Linfeng Mei and Shang-Hwa Hsu. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Differential Equations and Theoretical Population Biology.

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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