Matthew Trainer

415 citations
19 papers · 269 · h-index 7

Impact in

Papers in

Matthew Trainer

19 papers receiving 262 citations

Peers

Matthew Trainer
Comparison fields: 5 of 61
  • Atomic and Molecular Physics, and Optics 104
  • Electrical and Electronic Engineering 124
  • Materials Chemistry 88
  • Theoretical Computer Science 2
  • Artificial Intelligence 57
Replace Xiuwen Xia with:
Xiuwen Xia China
Qianchun Weng China
J. Dixon United Kingdom
R. Oswald Switzerland
Algirdas Mekys Lithuania
Takeji Ueda Japan
S. Eshlaghi Germany
Masahiro Kakuda Japan
Abhinav Kumar Vinod United States
M. Yu. Petrov Russia
Matthew Trainer relative to Xiuwen Xia China Xiuwen Xia's profile →
Citations per field
00.5×1.7×
Xiuwen Xia · 1×
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

19 of 19 papers shown
#Work
1 2021137
2 200049
3 200122
4 20049
5 20017
6 19997
7 20036
8 20015
9
Wind profiler mixing depth and entrainment measurements with chemical applications
19945
10 20064
11 20104
12 20033
13 20073
14 20082
15 20052
16
California's Methane Budget derived from CalNex P-3 Aircraft Observations and the WRF-STILT Lagrangian Transport Model
20121
17 20171
18 20081
19 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 19 papers that have together received 269 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), Semiconductor materials and devices (2 papers), History and Developments in Astronomy (2 papers), Laser Design and Applications (2 papers), Acoustic Wave Resonator Technologies (1 paper) and Pulsars and Gravitational Waves Research (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (104 citations), Electrical and Electronic Engineering (124 citations), Materials Chemistry (88 citations), Theoretical Computer Science (2 citations) and Artificial Intelligence (57 citations). Matthew Trainer has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Sebastian Pauka, G. C. Gardner, Alireza Moini, Rachpon Kalra, Kushal Das, A. Bousquet, D. J. Reilly, Michael J. Manfra, W. M. Angevine 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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