Peter V. Gordon

1.0k citations
47 papers · 362 · h-index 11

Impact in

Papers in

Peter V. Gordon

47 papers receiving 335 citations

Peers

Peter V. Gordon
Comparison fields: 5 of 60
  • Computational Mechanics 151
  • Numerical Analysis 38
  • Modeling and Simulation 29
  • Safety, Risk, Reliability and Quality 47
  • Fluid Flow and Transfer Processes 31
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Feng Ling United States
Stefania Gatti Italy
Dalia Fishelov Israel
Liyong Zhu China
Liqian Peng United States
Nobuyoshi Tosaka Japan
Hervé Le Dret France
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Citations per field
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Citations per year

Countries citing papers authored by Peter V. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Peter V. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter V. Gordon. 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 Peter V. Gordon. The network helps show where Peter V. Gordon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201142
2 201322
3 200821
4 201420
5 201519
6 200716
7 200314
8 201313
9 201913
10 200211
11 201110
12 20119
13 20039
14 20078
15 20168
16 20088
17 20158
18 20068
19 20037
20 20227

About Peter V. Gordon

Peter V. Gordon is a scholar working on Computational Mechanics, Aerospace Engineering, Applied Mathematics, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 47 papers that have together received 362 indexed citations. Recurring topics across this work include Combustion and flame dynamics (22 papers), Combustion and Detonation Processes (19 papers), Fire dynamics and safety research (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Advanced Combustion Engine Technologies (4 papers), Gas Dynamics and Kinetic Theory (4 papers) and Energetic Materials and Combustion (4 papers). The work is most often cited by research in Computational Mechanics (151 citations), Numerical Analysis (38 citations), Modeling and Simulation (29 citations), Safety, Risk, Reliability and Quality (47 citations) and Fluid Flow and Transfer Processes (31 citations). Peter V. Gordon has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Gregory Sivashinsky, Leonid Kagan, Cyrill B. Muratov, Stanislav Y. Shvartsman, G. Sivashinsky, Irina Brailovsky, Anna Ghazaryan, Alexander M. Berezhkovskii, Christine Sample and R. Shivaji. Their work appears in journals such as Combustion and Flame, SIAM Journal on Applied Mathematics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Nonlinearity and Combustion Theory and Modelling.

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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