R Phythian

418 citations
14 papers · 334 · h-index 8

Impact in

Papers in

Journals
Journal of Fluid Mechanics (3 papers)Journal of Statistical Physics (2 papers)Physica A Statistical Mechanics and its Applications (1 paper)Journal of physics. A, Proceedings of the Physical Society. General (1 paper)Physical review. A, General physics (1 paper)
Partner nations
United KingdomFrance

In The Last Decade

R Phythian

13 papers receiving 303 citations

Peers

R Phythian
Comparison fields: 5 of 46
  • Statistical and Nonlinear Physics 145
  • Computational Mathematics 5
  • Computational Mechanics 116
  • Environmental Engineering 72
  • Condensed Matter Physics 56
Replace Antoine Naert with:
Antoine Naert France
Valerii I. Klyatskin Russia
Naoko Arimitsu Japan
R.A. Pasmanter Netherlands
R. Ramshankar United States
J.‐D. Fournier France
J. Schmidt Germany
S. I. Pai United States
Malek Abid France
D. Marteau France
R Phythian relative to Antoine Naert France Antoine Naert's profile →
Citations per field
00.5×1.6×
Antoine Naert · 1×
Citations per year

Countries citing papers authored by R Phythian

Since Specialization
Citations

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

Fields of papers citing papers by R Phythian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside R Phythian, 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 R Phythian Line = papers co-authored together R Phythian links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1977110
2 197946
3 197840
4 197537
5 197534
6 196922
7 197622
8 19727
9 19865
10 19803
11 19873
12 19663
13 19902
14 19640

About R Phythian

R Phythian is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computational Mechanics, Artificial Intelligence and Ocean Engineering, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (5 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Neural Networks and Applications (3 papers), Particle Dynamics in Fluid Flows (2 papers), Wind and Air Flow Studies (2 papers), Atomic and Molecular Physics (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (145 citations), Computational Mathematics (5 citations), Computational Mechanics (116 citations), Environmental Engineering (72 citations) and Condensed Matter Physics (56 citations). R Phythian has collaborated with scholars based in United Kingdom and France. Frequent co-authors include W. D. Curtis, B. Jouvet and A. Herzenberg. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Statistical Physics, Physica A Statistical Mechanics and its Applications, Journal of physics. A, Proceedings of the Physical Society. General and Physical review. A, General physics.

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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