Fernando Casanova

23 papers receiving 361 citations

Peers

Fernando Casanova
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 75
  • Mechanics of Materials 84
  • Neurology 49
  • Biomedical Engineering 130
  • Mechanical Engineering 90
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Melanie Bauer Switzerland
M. Hrapko Netherlands
Xingru Zhang China
Sangeun Park South Korea
Seishiro Matsubara Japan
Yusha Li China
Nobuyuki Nakajima Japan
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Citations per year

Countries citing papers authored by Fernando Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Fernando Casanova, 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 Fernando Casanova Line = papers co-authored together Fernando Casanova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201475
2 201473
3 201843
4 201234
5 201529
6 200922
7 201219
8 201513
9 201312
10 20208
11 20218
12 20108
13 20077
14 20195
15 20084
16 20204
17
FAILURE ANALYSIS AND REDESIGN OF A WAGON WHEEL SHAFT FOR SUGAR CANE TRANSPORT
20112
18
INVESTIGACIÓN DE LA FALLA DE UN EJE PIÑÓN CONECTADO A UNA EXTRUSORA DE DOBLE TORNILLO
20102
19 20162
20 20201

About Fernando Casanova

Fernando Casanova is a scholar working on Biomedical Engineering, Mechanical Engineering, Mechanics of Materials, Neurology and Electrical and Electronic Engineering, having authored 28 papers that have together received 374 indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (5 papers), Hydraulic and Pneumatic Systems (4 papers), Cavitation Phenomena in Pumps (4 papers), Mechanical Failure Analysis and Simulation (4 papers), Soft Robotics and Applications (4 papers), Neurological disorders and treatments (3 papers), Sugarcane Cultivation and Processing (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (75 citations), Mechanics of Materials (84 citations), Neurology (49 citations), Biomedical Engineering (130 citations) and Mechanical Engineering (90 citations). Fernando Casanova has collaborated with scholars based in Colombia, United States and Finland. Frequent co-authors include Malisa Sarntinoranont, Paul R. Carney, José Jaime García, Gustavo A. Orozco, Joao L. Ealo, Christopher Batich, Joshua H. Smith, J.J. Coronado and Carlos Jaramillo. Their work appears in journals such as Wear, Engineering Failure Analysis, Rheologica Acta, Journal of Biomechanical Engineering and Journal of the mechanical behavior of biomedical materials.

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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