Paul E. Long

584 citations
31 papers · 439 · h-index 14

Impact in

Papers in

Paul E. Long

27 papers receiving 291 citations

Peers

Paul E. Long
Comparison fields: 5 of 43
  • Geometry and Topology 145
  • Algebra and Number Theory 50
  • Management Science and Operations Research 138
  • Atmospheric Science 130
  • Mathematical Physics 59
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Sanjay Kumar India
Kenneth S. Brown United States
Bruno Pelletier France
C. M. Joshi India
Martijn de Vries Netherlands
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Xinqiu Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Paul E. Long

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Paul E. Long, 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 E. Long Line = papers co-authored together Paul E. Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197999
2 198133
3 197028
4 197525
5 197324
6 197520
7
The state of the Techniques Development Laboratory's Boundary Layer Model : May 24, 1977
197818
8 197816
9 197516
10 197515
11 197015
12 197814
13
An economical and compatible scheme for parameterizing the stable surface layer in the medium range forecast model
198614
14 197313
15 196911
16 196911
17
Some physical and numerical aspects of boundary layer modeling
19759
18
Derivation and suggested method of the application of simplified relations for surface fluxes in the medium-range forecast model, unstable case
19908
19
Comparison of six numerical schemes for calculating the advection of atmospheric pollution
19768
20
Simple properties of Chapeau Functions and their application to the solution of the advection equation
19757

About Paul E. Long

Paul E. Long is a scholar working on Geometry and Topology, Management Science and Operations Research, Mathematical Physics, Environmental Engineering and Algebra and Number Theory, having authored 31 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (8 papers), Fuzzy and Soft Set Theory (7 papers), Wind and Air Flow Studies (4 papers), Advanced Banach Space Theory (4 papers), Rings, Modules, and Algebras (3 papers), Meteorological Phenomena and Simulations (3 papers), Mathematical and Theoretical Analysis (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Geometry and Topology (145 citations), Algebra and Number Theory (50 citations), Management Science and Operations Research (138 citations), Atmospheric Science (130 citations) and Mathematical Physics (59 citations). Paul E. Long has collaborated with scholars based in United States. Frequent co-authors include Darrell W. Pepper, Christoph Kern, Wilson A. Shaffer, Dragan Janković and Mark Iredell. Their work appears in journals such as Proceedings of the American Mathematical Society, Duke Mathematical Journal, American Mathematical Monthly, Rendiconti del Circolo Matematico di Palermo Series 2 and Kyungpook mathematical journal.

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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