M.A. López-Marcos

483 citations
41 papers · 370 indexed · h-index 11
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (23 papers)Mathematical Biology Tumor Growth (8 papers)Stochastic processes and statistical mechanics (8 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsJournal of Computational Physics
Partner nations
SpainUnited StatesGreece

In The Last Decade

M.A. López-Marcos

39 papers receiving 352 citations

Peers

M.A. López-Marcos
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 126
  • Public Health, Environmental and Occupational Health 111
  • Numerical Analysis 104
  • Modeling and Simulation 92
  • Mathematical Physics 73
Replace Peter van Heijster with:
Peter van Heijster Australia
Fasma Diele Italy
L.M. Abia Spain
G. Gambino Italy
Laila M Assas Saudi Arabia
Yuri Kondratiev Germany
Jacques-Élie Furter United Kingdom
Zlatinka I. Dimitrova Bulgaria
M. A. F. dos Santos Brazil
Klemens Fellner Austria
M.A. López-Marcos relative to Peter van Heijster Australia Peter van Heijster's profile →
Citations per field
00.5×2.8×
Peter van Heijster · 1×
Citations per year

Countries citing papers authored by M.A. López-Marcos

Since Specialization
Citations

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

Fields of papers citing papers by M.A. López-Marcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. López-Marcos. 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 M.A. López-Marcos. The network helps show where M.A. López-Marcos may publish in the future.

Co-authorship network of co-authors of M.A. López-Marcos

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. López-Marcos. A scholar is included among the top collaborators of M.A. López-Marcos 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 M.A. López-Marcos. M.A. López-Marcos 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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5 7
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7 1
8 2
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10 0
11 2
12 5
13 7
14 9
15 8
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18 9
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About M.A. López-Marcos

M.A. López-Marcos is a scholar working on Modeling and Simulation, Mathematical Physics and Numerical Analysis, having authored 41 papers that have together received 370 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (23 papers), Mathematical Biology Tumor Growth (8 papers) and Stochastic processes and statistical mechanics (8 papers). The work is most often cited by research in Modeling and Simulation (92 citations), Numerical Analysis (104 citations) and Statistical and Nonlinear Physics (126 citations). M.A. López-Marcos has collaborated with scholars based in Spain, United States and Greece. Frequent co-authors include J.C. López-Marcos, O. Angulo, J. M. Sanz‐Serna, A. Durán, L.M. Abia, Julia Martínez‐Rodríguez, Robert D. Skeel, Javier de Frutos, M. P. Calvo and Fabio Milner. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational Physics.

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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