Matthew Trainer

439 citations
21 papers · 296 · h-index 8

Impact in

Papers in

Matthew Trainer

21 papers receiving 285 citations

Peers

Matthew Trainer
Comparison fields: 5 of 73
  • Atomic and Molecular Physics, and Optics 109
  • Electrical and Electronic Engineering 128
  • Materials Chemistry 89
  • Artificial Intelligence 59
  • Theoretical Computer Science 2
Replace Isabelle Zaquine with:
Isabelle Zaquine France
I. G. Neizvestny Russia
R. Oswald Switzerland
Qianchun Weng China
J. Dixon United Kingdom
Algirdas Mekys Lithuania
E. F. da Silva Brazil
Peter J. Martin United States
Takeji Ueda Japan
Archan Banerjee United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Trainer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Trainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021144
2 200049
3 200123
4 20049
5 20218
6 20038
7 19997
8 20017
9
Wind profiler mixing depth and entrainment measurements with chemical applications
19946
10 20076
11 20015
12 20105
13 20204
14 20064
15 20033
16 20082
17 20052
18
California's Methane Budget derived from CalNex P-3 Aircraft Observations and the WRF-STILT Lagrangian Transport Model
20121
19 20171
20 19791

About Matthew Trainer

Matthew Trainer is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Ocean Engineering, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (6 papers), Geophysics and Sensor Technology (3 papers), Relativity and Gravitational Theory (2 papers), History and Developments in Astronomy (2 papers), Semiconductor materials and devices (2 papers), Laser Design and Applications (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (109 citations), Electrical and Electronic Engineering (128 citations), Materials Chemistry (89 citations), Artificial Intelligence (59 citations) and Theoretical Computer Science (2 citations). Matthew Trainer has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include G. C. Gardner, Rachpon Kalra, Sebastian Pauka, A. Bousquet, Kushal Das, Michael J. Manfra, Alireza Moini, D. J. Reilly, Charles Knight and M. Buhr. Their work appears in journals such as World Patent Information, Cryogenics, Materials Chemistry and Physics, Nature Electronics and Physics in Perspective.

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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