Mar Serrano

740 citations
16 papers · 553 · h-index 11

Impact in

Papers in

Mar Serrano

16 papers receiving 538 citations

Peers

Mar Serrano
Comparison fields: 5 of 55
  • Computational Mechanics 302
  • Fluid Flow and Transfer Processes 60
  • Condensed Matter Physics 68
  • Materials Chemistry 269
  • Statistical and Nonlinear Physics 58
Replace F. Bolton with:
F. Bolton Ireland
Bernd Rinn Germany
D. Winter Germany
T. M. Rogers Canada
Zhi-Feng Huang United States
H. Ehrentraut Germany
M. Rex Germany
Krzysztof A. Mizerski Poland
Bernardo Sánchez-Rey Spain
G. A. Hawkins United States
Mar Serrano relative to F. Bolton Ireland F. Bolton's profile →
Citations per field
00.5×
F. Bolton · 1×
Citations per year

Countries citing papers authored by Mar Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Mar Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Mar Serrano, 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 Mar Serrano Line = papers co-authored together Mar Serrano links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200793
2 200178
3 200773
4 199961
5 199760
6 200534
7 200634
8 199927
9 200224
10 200624
11 201618
12 20059
13 20059
14 20085
15 19993
16 20111

About Mar Serrano

Mar Serrano is a scholar working on Materials Chemistry, Computational Mechanics, Condensed Matter Physics, Fluid Flow and Transfer Processes and Biomedical Engineering, having authored 16 papers that have together received 553 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (7 papers), Theoretical and Computational Physics (6 papers), Material Dynamics and Properties (4 papers), Lattice Boltzmann Simulation Studies (4 papers), Rheology and Fluid Dynamics Studies (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Numerical methods for differential equations (2 papers) and Fluid Dynamics Simulations and Interactions (2 papers). The work is most often cited by research in Computational Mechanics (302 citations), Fluid Flow and Transfer Processes (60 citations), Condensed Matter Physics (68 citations), Materials Chemistry (269 citations) and Statistical and Nonlinear Physics (58 citations). Mar Serrano has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include Pep Español, Gianni De Fabritiis, Peter V. Coveney, Marco Ellero, Ignacio Zúñiga, Hans Christian Öttinger, Rafael Delgado‐Buscalioni, Eirik G. Flekkøy, Ignacio Pagonabarraga and Cecilio Álamo. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, The Journal of Chemical Physics, Journal of Statistical Physics, International Journal of Modern Physics C and Computer Physics Communications.

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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