José A. Cañizo

1.5k citations
42 papers · 750 indexed · h-index 12

José A. Cañizo

36 papers receiving 704 citations

Peers

José A. Cañizo
Comparison fields: 5 of 82
  • Modeling and Simulation 182
  • Applied Mathematics 186
  • Statistical and Nonlinear Physics 209
  • Mathematical Physics 118
  • Condensed Matter Physics 145
Replace Razvan C. Fetecau with:
Razvan C. Fetecau Canada
Yanghong Huang United Kingdom
V. Panferov United States
S. Mischler France
Young-Pil Choi South Korea
Mario Pulvirenti Italy
James Nolen United States
Kiran M. Kolwankar India
Klemens Fellner Austria
Danielle Hilhorst France
José A. Cañizo relative to Razvan C. Fetecau Canada Razvan C. Fetecau's profile →
Citations per field
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Razvan C. Fetecau · 1×
Citations per year

Countries citing papers authored by José A. Cañizo

Since Specialization
Citations

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

Fields of papers citing papers by José A. Cañizo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Cañizo. 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 José A. Cañizo. The network helps show where José A. Cañizo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside José A. Cañizo, 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 José A. Cañizo Line = papers co-authored together José A. Cañizo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202210
4 202115
5 20211
6 201923
7 20177
8 20159
9 20139
10
EVITA: Computational model for evaluating buildings thermal efficiency
20110
11
Prediction of corrosion initiation in concrete structures using finite volume method
20110
12 201172
13 201136
14 20114
15 20111
16 2010167
17
The effect of the choice of turbulence model on the simulation of fluid flow on a centrifugal separator
20061
18 200315
19 200226
20
EVITA: Modelo computacional para la evaluación de viviendas térmicamente adaptadas
19981

About José A. Cañizo

José A. Cañizo is a scholar working on Modeling and Simulation, Applied Mathematics and Statistical and Nonlinear Physics, having authored 42 papers that have together received 750 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (9 papers), Advanced Mathematical Modeling in Engineering (9 papers), Gas Dynamics and Kinetic Theory (8 papers), Mathematical Biology Tumor Growth (7 papers), Building Energy and Comfort Optimization (4 papers), Neural dynamics and brain function (4 papers), stochastic dynamics and bifurcation (4 papers) and Numerical methods in inverse problems (4 papers). The work is most often cited by research in Modeling and Simulation (182 citations), Applied Mathematics (186 citations) and Statistical and Nonlinear Physics (209 citations). José A. Cañizo has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include José A. Carrillo, François Bolley, Stéphane Mischler, Bertrand Lods, María J. Cáceres, Eduardo González, John C. Neu, L. L. Bonilla, Marzia Bisi and Juanjo Nieto. Their work appears in journals such as SHILAP Revista de lepidopterología, Solar Energy and Communications in Mathematical 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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