C. Ferrera

983 citations
44 papers · 789 · h-index 17

Impact in

Papers in

C. Ferrera

43 papers receiving 771 citations

Peers

C. Ferrera
Comparison fields: 5 of 77
  • Computational Mechanics 420
  • Surfaces, Coatings and Films 82
  • Biomedical Engineering 253
  • Fluid Flow and Transfer Processes 26
  • Electrical and Electronic Engineering 241
Replace Pavel Ryzhakov with:
Pavel Ryzhakov Spain
S. Tabakova Bulgaria
Ivan Zadrazil United Kingdom
Milind A. Jog United States
Aydin Nabovati Canada
J. Tihon Czechia
Prashant Valluri United Kingdom
Sang Youl Yoon South Korea
Harish N. Dixit India
Yue Mei China
C. Ferrera relative to Pavel Ryzhakov Spain Pavel Ryzhakov's profile →
Citations per field
00.5×4.5×
Pavel Ryzhakov · 1×
Citations per year

Countries citing papers authored by C. Ferrera

Since Specialization
Citations

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

Fields of papers citing papers by C. Ferrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 202152
3 200851
4 201047
5 201346
6 202140
7 200638
8 200737
9 201233
10 200631
11 202028
12 200728
13 201127
14 201125
15 200822
16 201422
17 201217
18 201115
19 201015
20 201114

About C. Ferrera

C. Ferrera is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 789 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (18 papers), Electrohydrodynamics and Fluid Dynamics (14 papers), Fluid Dynamics and Thin Films (10 papers), Coronary Interventions and Diagnostics (6 papers), Microfluidic and Bio-sensing Technologies (6 papers), Surface Modification and Superhydrophobicity (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Characterization and Applications of Magnetic Nanoparticles (4 papers). The work is most often cited by research in Computational Mechanics (420 citations), Surfaces, Coatings and Films (82 citations), Biomedical Engineering (253 citations), Fluid Flow and Transfer Processes (26 citations) and Electrical and Electronic Engineering (241 citations). C. Ferrera has collaborated with scholars based in Spain, Belgium and Portugal. Frequent co-authors include J. M. Montanero, Miguel A. Herrada, Alfonso M. Gañán‐Calvo, M.G. Cabezas, Valentina Shevtsova, Alex Acero, E. J. Vega, Rui Lima, H. Puga and Luis Parras. Their work appears in journals such as Physics of Fluids, Measurement Science and Technology, Biomechanics and Modeling in Mechanobiology, Journal of Colloid and Interface Science and Journal of Micromechanics and Microengineering.

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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