G.A. Szekely

567 citations
14 papers · 490 indexed · h-index 11
Topics
Combustion and flame dynamics (12 papers)Advanced Combustion Engine Technologies (8 papers)Combustion and Detonation Processes (4 papers)
Partner nations
United StatesPoland

In The Last Decade

G.A. Szekely

14 papers receiving 449 citations

Peers

G.A. Szekely
Comparison fields: 5 of 35
  • Computational Mechanics 342
  • Fluid Flow and Transfer Processes 313
  • Automotive Engineering 125
  • Biomedical Engineering 111
  • Aerospace Engineering 105
Replace Takao Karasawa with:
Takao Karasawa Japan
T. Kadota Japan
Louis-Marie Malbec France
Shin Matsuoka Japan
M. F. Bardon Canada
Chia-fon Lee United States
Venkatesh Gopalakrishnan United States
Alex C. Alkidas United States
Sergey Zambalov Russia
Yang Wenming Singapore
G.A. Szekely relative to Takao Karasawa Japan Takao Karasawa's profile →
Citations per field
00.5×10×
Takao Karasawa · 1×
Citations per year

Countries citing papers authored by G.A. Szekely

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Szekely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.A. Szekely

This figure shows the co-authorship network connecting the top 25 collaborators of G.A. Szekely. A scholar is included among the top collaborators of G.A. Szekely based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G.A. Szekely. G.A. Szekely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 22
2 8
3 16
4 27
5 3
6 14
7 228
8 13
9 12
10 31
11 15
12 49
13
Experimental Evaluation of a Carbon Slurry Droplet Combustion Model
5
14 47

About G.A. Szekely

G.A. Szekely is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Safety, Risk, Reliability and Quality, having authored 14 papers that have together received 490 indexed citations. Recurring topics across this work include Combustion and flame dynamics (12 papers), Advanced Combustion Engine Technologies (8 papers) and Combustion and Detonation Processes (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (313 citations), Computational Mechanics (342 citations) and Automotive Engineering (125 citations). G.A. Szekely has collaborated with scholars based in United States and Poland. Frequent co-authors include A. S. P. Solomon, G. M. Faeth, Michael C. Drake, Todd D. Fansler, Alex C. Alkidas, A. C. Alkidas, Scott Parrish, James C. Smith, Paul Najt and Zoran Filipi. Their work appears in journals such as AIAA Journal, Combustion and Flame and SAE technical papers on CD-ROM/SAE technical paper series.

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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