R. Lima

20 papers receiving 466 citations

Peers

R. Lima
Comparison fields: 5 of 85
  • Statistical and Nonlinear Physics 110
  • Computational Mechanics 182
  • Computational Mathematics 3
  • Environmental Engineering 71
  • Statistics, Probability and Uncertainty 28
Replace Pierre Haldenwang with:
Pierre Haldenwang France
K. Kondo Japan
Ingenuin Gasser Germany
Christian Rohde Germany
Sophia Lefantzi United States
Fabio Bonaccorso Italy
Brian C. Vermeire Canada
Kassem Ghorayeb British Virgin Islands
A. McD. Mercer Canada
Kui Ren United States
R. Lima relative to Pierre Haldenwang France Pierre Haldenwang's profile →
Citations per field
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Pierre Haldenwang · 1×
Citations per year

Countries citing papers authored by R. Lima

Since Specialization
Citations

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

Fields of papers citing papers by R. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside R. Lima, 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 R. Lima Line = papers co-authored together R. Lima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1991281
2 201838
3 201929
4 199526
5 201823
6 201920
7 201011
8 200310
9 19968
10 20007
11 20237
12 20226
13 20165
14 19965
15 20013
16 20193
17 20192
18 20202
19 20012
20 20191

About R. Lima

R. Lima is a scholar working on Computational Mechanics, Renewable Energy, Sustainability and the Environment, Biomedical Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 20 papers that have together received 489 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (5 papers), Solar Thermal and Photovoltaic Systems (3 papers), Photovoltaic System Optimization Techniques (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Solar Radiation and Photovoltaics (3 papers), Wind and Air Flow Studies (2 papers), Nanofluid Flow and Heat Transfer (2 papers) and Wind Energy Research and Development (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (110 citations), Computational Mechanics (182 citations), Computational Mathematics (3 citations), Environmental Engineering (71 citations) and Statistics, Probability and Uncertainty (28 citations). R. Lima has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Nadine Aubry, Paulo Alexandre Costa Rocha, G. Sivashinsky, Carla Freitas de Andrade, Daniel Albiero, Ana Katerine de Carvalho Lima Lobato, K.A.R. Ismail, Luiz Carlos Lobato dos Santos, Robert Stowe and Sophie Ringuette. Their work appears in journals such as Energy, PERIÓDICO TCHÊ QUÍMICA, Physica D Nonlinear Phenomena, Physica A Statistical Mechanics and its Applications and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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