John Goodwin

492 citations
9 papers · 285 · h-index 7

Impact in

Papers in

John Goodwin

9 papers receiving 275 citations

Peers

John Goodwin
Comparison fields: 5 of 48
  • Nuclear and High Energy Physics 108
  • Psychiatry and Mental health 58
  • Aerospace Engineering 105
  • Electrical and Electronic Engineering 102
  • Cognitive Neuroscience 33
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A. I. Trandafir United States
Margherita Ugoletti Italy
Zhixuan Wang China
Mari A. Smith United States
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Keizou Ishii Japan
S. H. Kim Japan
D. P. Brown United States
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Xiquan Zhu United States
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Citations per year

Countries citing papers authored by John Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by John Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 199088
2 198958
3 198958
4 199038
5 199124
6 19529
7 20148
8
Non-intrusive flow rate sensor for harvester and gin applications.
20001
9 20051

About John Goodwin

John Goodwin is a scholar working on Aerospace Engineering, Cognitive Neuroscience, Archeology, Electrical and Electronic Engineering and Nuclear and High Energy Physics, having authored 9 papers that have together received 285 indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (3 papers), Particle accelerators and beam dynamics (3 papers), Superconducting Materials and Applications (2 papers), EEG and Brain-Computer Interfaces (2 papers), Nuclear physics research studies (1 paper), Advanced NMR Techniques and Applications (1 paper), Particle physics theoretical and experimental studies (1 paper) and Water Quality Monitoring Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (108 citations), Psychiatry and Mental health (58 citations), Aerospace Engineering (105 citations), Electrical and Electronic Engineering (102 citations) and Cognitive Neuroscience (33 citations). John Goodwin has collaborated with scholars based in United States and Canada. Frequent co-authors include R. Mark Sadler, Michiko G. Minty, T. Rinckel, F. Sperisen, P. V. Pancella, Mark Ross, Robert E. Pollock, Barbara von Przewoski, H. Nann and Stephen Pate. Their work appears in journals such as Physical Review Letters, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, American Journal of Psychiatry, The Mariner s Mirror and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.

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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