Paul B. Bailey

1.7k citations
74 papers · 1.2k · h-index 19

Impact in

Papers in

Paul B. Bailey

67 papers receiving 1.1k citations

Peers

Paul B. Bailey
Comparison fields: 5 of 71
  • Mathematical Physics 343
  • Numerical Analysis 170
  • Applied Mathematics 226
  • Statistical and Nonlinear Physics 198
  • Computational Theory and Mathematics 232
Replace С. Л. Соболев with:
С. Л. Соболев Russia
Ivar Stakgold United States
Yu. V. Egorov Russia
G. K. Leaf United States
G. S. S. Ludford United States
R. P. Kanwal United States
Prabir Daripa United States
Sergej Rjasanow Germany
E. Meister Germany
Dugald B. Duncan United Kingdom
Paul B. Bailey relative to С. Л. Соболев Russia С. Л. Соболев's profile →
Citations per field
00.5×1.5×
С. Л. Соболев · 1×
Citations per year

Countries citing papers authored by Paul B. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Paul B. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul B. Bailey. 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 Paul B. Bailey. The network helps show where Paul B. Bailey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978100
2 200194
3 201472
4 199168
5 201359
6 199356
7 196639
8 198635
9 197134
10 198031
11 201431
12 199130
13 201327
14 201627
15 196425
16 201624
17 199623
18 202023
19 196522
20 200518

About Paul B. Bailey

Paul B. Bailey is a scholar working on Mechanical Engineering, Mathematical Physics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Applied Mathematics, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Refrigeration and Air Conditioning Technologies (18 papers), Spectral Theory in Mathematical Physics (12 papers), Advanced Thermodynamic Systems and Engines (12 papers), Quantum chaos and dynamical systems (9 papers), Spacecraft and Cryogenic Technologies (8 papers), Differential Equations and Numerical Methods (7 papers), Differential Equations and Boundary Problems (6 papers) and Numerical methods for differential equations (5 papers). The work is most often cited by research in Mathematical Physics (343 citations), Numerical Analysis (170 citations), Applied Mathematics (226 citations), Statistical and Nonlinear Physics (198 citations) and Computational Theory and Mathematics (232 citations). Paul B. Bailey has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anton Zettl, W. N. Everitt, Mike Dadd, Kun Liang, Richard Stone, L. F. Shampine, Peter J. Chen, Marilyn K. Gordon, G. Milton Wing and Stephen L. Passman. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Cryogenics, International Journal of Refrigeration, ACM Transactions on Mathematical Software and Archive for Rational Mechanics and Analysis.

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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