Jay C. Davis

1.6k citations
59 papers · 1.3k · h-index 19

Impact in

Papers in

Jay C. Davis

53 papers receiving 1.2k citations

Peers

Jay C. Davis
Comparison fields: 5 of 113
  • Radiation 409
  • Nuclear and High Energy Physics 498
  • Aerospace Engineering 249
  • Radiological and Ultrasound Technology 37
  • Paleontology 56
Replace Ivan D. Proctor with:
Ivan D. Proctor United States
G. W. A. Newton United Kingdom
Charles Lougheed Bennett United States
Dale W. Heikkinen United States
Keran O'Brien United States
J.M. D’Auria Canada
Kenneth H. Purser United States
M. R. Clover United States
R. G. Korteling United States
Martin Hilchenbach Germany
Jay C. Davis relative to Ivan D. Proctor United States Ivan D. Proctor's profile →
Citations per field
00.5×2×4×5.7×
Ivan D. Proctor · 1×
Citations per year

Countries citing papers authored by Jay C. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Jay C. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay C. Davis. 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 Jay C. Davis. The network helps show where Jay C. Davis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990170
2 1990158
3 198091
4 197684
5 197357
6 196843
7 197742
8 199039
9 199037
10 199036
11 198235
12 196934
13 198229
14 197527
15 196726
16 199225
17 198124
18 196522
19 197322
20 197619

About Jay C. Davis

Jay C. Davis is a scholar working on Radiation, Nuclear and High Energy Physics, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Spectroscopy, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nuclear Physics and Applications (32 papers), Nuclear physics research studies (18 papers), Atomic and Molecular Physics (10 papers), Particle accelerators and beam dynamics (10 papers), Nuclear reactor physics and engineering (8 papers), Magnetic confinement fusion research (7 papers), Advanced Chemical Physics Studies (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Radiation (409 citations), Nuclear and High Energy Physics (498 citations), Aerospace Engineering (249 citations), Radiological and Ultrasound Technology (37 citations) and Paleontology (56 citations). Jay C. Davis has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include John David Anderson, Ivan D. Proctor, John S. Vogel, John Southon, Henry H. Barschall, Marc W. Caffee, S. M. Grimes, Cathy Y. Wong, Ken W. Turteltaub and C. H. Poppe. Their work appears in journals such as Physical Review C, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Nuclear Physics A, IEEE Transactions on Nuclear Science and Physical Review Letters.

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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