C. Asensio

58 papers receiving 814 citations

Peers

C. Asensio
Comparison fields: 5 of 87
  • Speech and Hearing 518
  • Automotive Engineering 246
  • Health, Toxicology and Mutagenesis 132
  • Cognitive Neuroscience 157
  • Environmental Engineering 94
Replace Eoin A. King with:
Eoin A. King Ireland
Jérôme Defrance France
Pierre Aumond France
Giovanni Brambilla Italy
Michel Bérengier France
Jens Forssén Sweden
Ignacio Pavón Spain
Seo Il Chang South Korea
Djamel Ouis Sweden
Arnaud Can France
C. Asensio relative to Eoin A. King Ireland Eoin A. King's profile →
Citations per field
00.5×1.5×2.4×
Eoin A. King · 1×
Citations per year

Countries citing papers authored by C. Asensio

Since Specialization
Citations

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

Fields of papers citing papers by C. Asensio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 202088
3 202049
4 200944
5 202035
6 202133
7 201630
8 201728
9 201726
10 201026
11 202320
12 202318
13 201918
14 201817
15 201717
16 201816
17 200616
18 202214
19 201414
20 202113

About C. Asensio

C. Asensio is a scholar working on Speech and Hearing, Automotive Engineering, Biomedical Engineering, Cognitive Neuroscience and Signal Processing, having authored 62 papers that have together received 831 indexed citations. Recurring topics across this work include Noise Effects and Management (44 papers), Vehicle Noise and Vibration Control (21 papers), Acoustic Wave Phenomena Research (15 papers), Hearing Loss and Rehabilitation (11 papers), Music and Audio Processing (9 papers), Aerodynamics and Acoustics in Jet Flows (6 papers), Speech and Audio Processing (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). The work is most often cited by research in Speech and Hearing (518 citations), Automotive Engineering (246 citations), Health, Toxicology and Mutagenesis (132 citations), Cognitive Neuroscience (157 citations) and Environmental Engineering (94 citations). C. Asensio has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Ignacio Pavón, Guillermo de Arcas, M. Recuero, Juan Manuel López, Luis Gascó, M. Ruíz, J.I. Alonso, Gaetano Licitra, Julio Díaz and Cristina Linares. Their work appears in journals such as Applied Acoustics, Environmental Research, Transportation Research Part D Transport and Environment, Acta acustica united with Acustica and The Science of The Total Environment.

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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