César Díaz

23 papers receiving 313 citations

Peers

César Díaz
Comparison fields: 5 of 72
  • Speech and Hearing 123
  • Building and Construction 62
  • Polymers and Plastics 52
  • Cognitive Neuroscience 65
  • Automotive Engineering 37
Replace Nazli Bin Che Din with:
Nazli Bin Che Din Malaysia
Artur Nowoświat Poland
Andrea Santoni Italy
Maria Di Gabriele Italy
Federica Bettarello Italy
J. Carbajo Spain
H. S. Seddeq Egypt
Dario D’Orazio Italy
Stefan Schoenwald Switzerland
Daiji Takahashi Japan
César Díaz relative to Nazli Bin Che Din Malaysia Nazli Bin Che Din's profile →
Citations per field
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Nazli Bin Che Din · 1×
Citations per year

Countries citing papers authored by César Díaz

Since Specialization
Citations

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

Fields of papers citing papers by César Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside César Díaz, 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 César Díaz Line = papers co-authored together César Díaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201271
2 201937
3 200529
4 200525
5 201523
6 201421
7 201420
8 202017
9 201916
10 200812
11 201511
12 20109
13 20128
14 20087
15 19957
16 20166
17 20134
18 20072
19 20102
20 20122

About César Díaz

César Díaz is a scholar working on Speech and Hearing, Biomedical Engineering, Cognitive Neuroscience, Building and Construction and Mechanical Engineering, having authored 25 papers that have together received 333 indexed citations. Recurring topics across this work include Noise Effects and Management (12 papers), Hearing Loss and Rehabilitation (8 papers), Acoustic Wave Phenomena Research (8 papers), Building Energy and Comfort Optimization (4 papers), Wind and Air Flow Studies (3 papers), Cellular and Composite Structures (3 papers), Vehicle Noise and Vibration Control (3 papers) and Natural Fiber Reinforced Composites (2 papers). The work is most often cited by research in Speech and Hearing (123 citations), Building and Construction (62 citations), Polymers and Plastics (52 citations), Cognitive Neuroscience (65 citations) and Automotive Engineering (37 citations). César Díaz has collaborated with scholars based in Spain, Colombia and Peru. Frequent co-authors include María de los Ángeles Navacerrada Saturio, Patricia Fernández‐Morales, Valentina Serra, Francesco Asdrubali, Stefano Fantucci, Antonio Libbra, Francesco Bianchi, M. V. Gallas, Alberto Muscio and Gian Luca Morini. Their work appears in journals such as Applied Acoustics, Materiales de Construcción, International Journal of Thermal Sciences, International Journal of Heat and Technology and Artificial intelligence for engineering design analysis and manufacturing.

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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