G. Prado

1.5k citations
36 papers · 1.1k · h-index 18

Impact in

Papers in

G. Prado

35 papers receiving 1.0k citations

Peers

G. Prado
Comparison fields: 5 of 85
  • Fluid Flow and Transfer Processes 336
  • Catalysis 114
  • Atmospheric Science 290
  • Health, Toxicology and Mutagenesis 213
  • Computational Mechanics 272
Replace Konstantin Siegmann with:
Konstantin Siegmann Switzerland
R. Barbella Italy
A. Messerer Germany
A.F. Sarofim United States
B. Apicella Italy
Coralie Schoemaecker France
Tara J. Fortin United States
Alessandro Faccinetto France
U. Matter Switzerland
Michael P. Tolocka United States
G. Prado relative to Konstantin Siegmann Switzerland Konstantin Siegmann's profile →
Citations per field
00.5×3.3×
Konstantin Siegmann · 1×
Citations per year

Countries citing papers authored by G. Prado

Since Specialization
Citations

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

Fields of papers citing papers by G. Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977179
2 1983142
3 199389
4 199068
5 197467
6 198062
7 198141
8 198739
9 199438
10 197735
11 199433
12 199431
13 198527
14 199325
15
MECHANISMS OF CARBON BLACK FORMATION
197823
16 198821
17 199621
18 198720
19 198517
20 199315

About G. Prado

G. Prado is a scholar working on Materials Chemistry, Atmospheric Science, Fluid Flow and Transfer Processes, Biomedical Engineering and Computational Mechanics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (12 papers), Advanced Combustion Engine Technologies (11 papers), Atmospheric chemistry and aerosols (9 papers), Thermochemical Biomass Conversion Processes (8 papers), Combustion and flame dynamics (8 papers), Catalysis and Oxidation Reactions (5 papers), nanoparticles nucleation surface interactions (5 papers) and Biodiesel Production and Applications (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (336 citations), Catalysis (114 citations), Atmospheric Science (290 citations), Health, Toxicology and Mutagenesis (213 citations) and Computational Mechanics (272 citations). G. Prado has collaborated with scholars based in France, United States and Australia. Frequent co-authors include J. Lahaye, P. Gilot, Jack B. Howard, Ronald A. Hites, Minjoo Larry Lee, B.R. Stanmore, J.B. Donnet, Jeff Jagoda, K. G. Neoh and Adel F. Sarofim. Their work appears in journals such as Combustion Science and Technology, Carbon, Combustion and Flame, Thermochimica Acta and Journal of Analytical and Applied Pyrolysis.

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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