Daniel Blacodon

598 citations
20 papers · 202 indexed · h-index 8

Impact in

Papers in

Daniel Blacodon

20 papers receiving 175 citations

Peers

Daniel Blacodon
Comparison fields: 5 of 26
  • Signal Processing 77
  • Aerospace Engineering 157
  • Computational Mechanics 59
  • Automotive Engineering 33
  • Biomedical Engineering 112
Replace Kristine R. Meadows with:
Kristine R. Meadows United States
Antonio Pereira France
Thomas Ahlefeldt Germany
Wim De Roeck Belgium
A.M.N. Malgoezar Netherlands
Nathan Burnside United States
Hanbo Jiang China
Brian J. Tester United Kingdom
Henri Siller Germany
Patricio A. Ravetta United States
Daniel Blacodon relative to Kristine R. Meadows United States Kristine R. Meadows's profile →
Citations per field
00.5×
Kristine R. Meadows · 1×
Citations per year

Countries citing papers authored by Daniel Blacodon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Blacodon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 4 scholars most cited alongside Daniel Blacodon, 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 Daniel Blacodon Line = papers co-authored together Daniel Blacodon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20208
2 20147
3 20147
4 20131
5 20133
6 201116
7 201018
8 20095
9 20078
10 20053
11 20044
12 200451
13 200311
14 200135
15 19954
16 19925
17 19902
18 19893
19 19875
20 19876

About Daniel Blacodon

Daniel Blacodon is a scholar working on Automotive Engineering, Aerospace Engineering, Signal Processing, Biomedical Engineering and Computational Mechanics, having authored 20 papers that have together received 202 indexed citations. Recurring topics across this work include Aerodynamics and Acoustics in Jet Flows (17 papers), Acoustic Wave Phenomena Research (12 papers), Vehicle Noise and Vibration Control (10 papers), Speech and Audio Processing (6 papers), Combustion and flame dynamics (3 papers), Underwater Acoustics Research (2 papers), Flow Measurement and Analysis (2 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Signal Processing (77 citations), Aerospace Engineering (157 citations), Computational Mechanics (59 citations), Automotive Engineering (33 citations) and Biomedical Engineering (112 citations). Daniel Blacodon has collaborated with scholars based in France. Frequent co-authors include P. Reijasse, Ali Mohammad‐Djafari, Sébastien Candel and Jean Prieur. Their work appears in journals such as Journal of Aircraft, Journal of Sound and Vibration, The Journal of the Acoustical Society of America, Journal of the American Helicopter Society and Applied Acoustics.

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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