E. Trask

790 citations
16 papers · 119 · h-index 6

Impact in

Papers in

E. Trask

14 papers receiving 116 citations

Peers

E. Trask
Comparison fields: 5 of 37
  • Nuclear and High Energy Physics 92
  • Astronomy and Astrophysics 27
  • Aerospace Engineering 34
  • Radiation 10
  • Architecture 1
Replace R. Mendoza with:
R. Mendoza United States
H. Trimiño Mora Germany
T. Szabolics Hungary
C.N. Gupta India
S. Schmuck Germany
N. Offeddu Switzerland
M. Aftanas Czechia
Chanyoung Lee South Korea
J. Zaja̧c Czechia
J. D. Douglass United States
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Citations per field
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Citations per year

Countries citing papers authored by E. Trask

Since Specialization
Citations

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

Fields of papers citing papers by E. Trask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201538
2 201723
3 200920
4 200910
5 20169
6 20215
7 20144
8 20083
9
Electron Temperature Estimate in C-2 FRC Using Neural Network
20132
10
Application of Bayesian inference for reconstruction of FRC plasma state in C-2W
20181
11
Reconstruction of fusion plasma state with a Plasma Debugger
20181
12
High time resolution reconstruction of electron temperature profiles with a neural network in C-2U
20171
13
High-fidelity Bayesian inference of transient FRC plasma perturbations in C-2W
20191
14 20221
15
C-2U Experimental Transport Analysis
20160
16 20250

About E. Trask

E. Trask is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Astronomy and Astrophysics, Aerospace Engineering and Materials Chemistry, having authored 16 papers that have together received 119 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (11 papers), Ionosphere and magnetosphere dynamics (4 papers), Plasma Diagnostics and Applications (4 papers), Fusion materials and technologies (3 papers), Nuclear reactor physics and engineering (3 papers), Laser-Plasma Interactions and Diagnostics (2 papers), Nuclear Physics and Applications (2 papers) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (92 citations), Astronomy and Astrophysics (27 citations), Aerospace Engineering (34 citations), Radiation (10 citations) and Architecture (1 citation). E. Trask has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include T. Roche, H. Gota, Michl Binderbauer, S. Korepanov, T. Tajima, A. Nečas, F. J. Wessel, Huan Guo, Patrick Riley and R. D. Milroy. Their work appears in journals such as Physics of Plasmas, Review of Scientific Instruments, Nuclear Fusion, Nature Communications and Scientific Reports.

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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