Sam Gibson

665 citations
20 papers · 459 · 1 hit paper · h-index 11

Impact in

Papers in

Sam Gibson

19 papers receiving 440 citations

Sam Gibson's Hit Papers

Improving aircraft performance using machine learning: A review 2023 · 119 citations
1190+1+2Years since publication255075100

Peers

Sam Gibson
Comparison fields: 5 of 70
  • Nuclear and High Energy Physics 244
  • Aerospace Engineering 112
  • Astronomy and Astrophysics 73
  • Statistical and Nonlinear Physics 36
  • Otorhinolaryngology 9
Replace Christopher G. Albert with:
Christopher G. Albert Germany
Diego Álvarez Spain
Yoshiro Hamada Japan
Tommaso Andreussi Italy
Minglei Tong China
Paul Shestople United States
M. Gąsior Switzerland
Tõnu Laas Estonia
Kjetil Wormnes Netherlands
Sam Gibson relative to Christopher G. Albert Germany Christopher G. Albert's profile →
Citations per field
00.5×1.5×1.9×
Christopher G. Albert · 1×
Citations per year

Countries citing papers authored by Sam Gibson

Since Specialization
Citations

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

Fields of papers citing papers by Sam Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Improving aircraft performance using machine learning: A review
Hit paper breakdown →
2023119
2 201951
3 201947
4 201037
5 202129
6 202129
7 202424
8 202422
9 202316
10 202015
11 202412
12 202411
13 202311
14 20169
15 20257
16 20257
17 20255
18 20255
19 20093
20 20250

About Sam Gibson

Sam Gibson is a scholar working on Nuclear and High Energy Physics, Materials Chemistry, Aerospace Engineering, Astronomy and Astrophysics and Biomedical Engineering, having authored 20 papers that have together received 459 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (15 papers), Fusion materials and technologies (10 papers), Superconducting Materials and Applications (6 papers), Particle accelerators and beam dynamics (4 papers), Laser-Plasma Interactions and Diagnostics (4 papers), Ionosphere and magnetosphere dynamics (3 papers), Plant Parasitism and Resistance (1 paper) and High-pressure geophysics and materials (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (244 citations), Aerospace Engineering (112 citations), Astronomy and Astrophysics (73 citations), Statistical and Nonlinear Physics (36 citations) and Otorhinolaryngology (9 citations). Sam Gibson has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Elizabeth J. Cross, Alessandro Parente, Esteban Ferrer, Soledad Le Clainche, Ricardo Vinuesa, Katerina Hilari, Pizza Ka Yee Chow, Thomas Stephen Collett, Nicola Manning and Elisa Frasnelli. Their work appears in journals such as Nuclear Fusion, International Journal of Language & Communication Disorders, Nature Physics, Plasma Physics and Controlled Fusion and JAMA Oncology.

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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