GARY K. LEAF

1.9k citations
94 papers · 1.5k · h-index 20

Impact in

Papers in

GARY K. LEAF

88 papers receiving 1.4k citations

Peers

GARY K. LEAF
Comparison fields: 5 of 90
  • Condensed Matter Physics 526
  • Numerical Analysis 102
  • Computational Mechanics 349
  • Atomic and Molecular Physics, and Optics 513
  • Electronic, Optical and Magnetic Materials 216
Replace L. J. Gray with:
L. J. Gray United States
Peter Olsson Sweden
A. Bossavit France
Oscar P. Bruno United States
Kazuyuki Yagasaki Japan
Darren Crowdy United Kingdom
Ashok Puri United States
Zydrunas Gimbutas United States
David O. Yevick Canada
David J. Eyre South Africa
GARY K. LEAF relative to L. J. Gray United States L. J. Gray's profile →
Citations per field
00.5×2×3×3.5×
L. J. Gray · 1×
Citations per year

Countries citing papers authored by GARY K. LEAF

Since Specialization
Citations

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

Fields of papers citing papers by GARY K. LEAF

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by GARY K. LEAF. 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 GARY K. LEAF. The network helps show where GARY K. LEAF may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996203
2 2004116
3 198596
4 199687
5 200475
6 196348
7 198048
8 199538
9 200037
10 200637
11 199734
12 199634
13 200631
14 197431
15 199631
16 199828
17 198722
18 198021
19 198621
20 200220

About GARY K. LEAF

GARY K. LEAF is a scholar working on Computational Mechanics, Condensed Matter Physics, Numerical Analysis, Mathematical Physics and Electronic, Optical and Magnetic Materials, having authored 94 papers that have together received 1.5k indexed citations. Recurring topics across this work include Magnetic properties of thin films (13 papers), Physics of Superconductivity and Magnetism (13 papers), Combustion and flame dynamics (11 papers), Magnetic Properties and Applications (9 papers), Theoretical and Computational Physics (8 papers), Nuclear reactor physics and engineering (8 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Nuclear Materials and Properties (7 papers). The work is most often cited by research in Condensed Matter Physics (526 citations), Numerical Analysis (102 citations), Computational Mechanics (349 citations), Atomic and Molecular Physics, and Optics (513 citations) and Electronic, Optical and Magnetic Materials (216 citations). GARY K. LEAF has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Hans G. Kaper, Valerii Vinokour, Juan Mario Restrepo, Bernard J. Matkowsky, Marcos Grimsditch, Mario Francesco Palumbo, David Levine, Nghi Q. Lam, William Gropp and Stephen B. Margolis. Their work appears in journals such as Combustion Science and Technology, Physical Review Letters, Nuclear Science and Engineering, Chemical Engineering Science and SIAM Journal on Applied Mathematics.

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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