L. E. H. Trainor

999 citations
78 papers · 715 · h-index 12

Impact in

Papers in

L. E. H. Trainor

75 papers receiving 666 citations

Peers

L. E. H. Trainor
Comparison fields: 5 of 102
  • Atomic and Molecular Physics, and Optics 280
  • Nuclear and High Energy Physics 111
  • Statistical and Nonlinear Physics 99
  • Condensed Matter Physics 86
  • Ecology, Evolution, Behavior and Systematics 65
Replace David Peak with:
David Peak United States
F. Beck Germany
R. Preuss Germany
N. MacDonald United Kingdom
Д.С. Чернавский Russia
Clas Blomberg Sweden
G. W. Adams Canada
G. Preparata Italy
P. Borckmans Belgium
I. Richard Lapidus United States
L. E. H. Trainor relative to David Peak United States David Peak's profile →
Citations per field
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David Peak · 1×
Citations per year

Countries citing papers authored by L. E. H. Trainor

Since Specialization
Citations

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

Fields of papers citing papers by L. E. H. Trainor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. E. H. Trainor. 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 L. E. H. Trainor. The network helps show where L. E. H. Trainor may publish in the future.

Co-authors

The 25 scholars most cited alongside L. E. H. Trainor, 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 L. E. H. Trainor Line = papers co-authored together L. E. H. Trainor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197281
2 198575
3 199258
4 198044
5 195231
6 197128
7 196627
8 198321
9 198818
10 196717
11 198314
12 199714
13 196811
14 196811
15 197510
16 198910
17 195510
18 196810
19 198010
20 19909

About L. E. H. Trainor

L. E. H. Trainor is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Statistical and Nonlinear Physics, Condensed Matter Physics and Nuclear and High Energy Physics, having authored 78 papers that have together received 715 indexed citations. Recurring topics across this work include Quantum, superfluid, helium dynamics (14 papers), Advanced Thermodynamics and Statistical Mechanics (13 papers), Nuclear physics research studies (12 papers), Theoretical and Computational Physics (6 papers), Quantum Mechanics and Applications (6 papers), Advanced Chemical Physics Studies (6 papers), Advanced NMR Techniques and Applications (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (280 citations), Nuclear and High Energy Physics (111 citations), Statistical and Nonlinear Physics (99 citations), Condensed Matter Physics (86 citations) and Ecology, Evolution, Behavior and Systematics (65 citations). L. E. H. Trainor has collaborated with scholars based in Canada, United Kingdom and Mexico. Frequent co-authors include B. C. Goodwin, S.S.M. Wong, D.J. Rowe, Charles J. Lumsden, Brian Goodwin, Deborah M. Gordon, E. Corinaldesi, Raj K. Gupta, W. R. Dixon and Jeffrey P. Sutton. Their work appears in journals such as Journal of Theoretical Biology, The Journal of Chemical Physics, Physics Letters A, Nuclear Physics A and Physica D Nonlinear Phenomena.

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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