John D. Garrison

659 citations
39 papers · 528 · h-index 13

Impact in

Papers in

John D. Garrison

39 papers receiving 489 citations

Peers

John D. Garrison
Comparison fields: 5 of 64
  • Renewable Energy, Sustainability and the Environment 167
  • Nuclear and High Energy Physics 112
  • Building and Construction 88
  • Radiation 51
  • Artificial Intelligence 166
Replace V. Silvestrini with:
V. Silvestrini Italy
J. O’Gallagher United States
Jack J. Hsia United States
Hein Dieter Behr Germany
Kazuo Akita Japan
Tianyang Xia China
M. Hainbuchner France
J. Locke United Kingdom
K. Hanke Austria
M. P. Thekaekara United States
John D. Garrison relative to V. Silvestrini Italy V. Silvestrini's profile →
Citations per field
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V. Silvestrini · 1×
Citations per year

Countries citing papers authored by John D. Garrison

Since Specialization
Citations

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

Fields of papers citing papers by John D. Garrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199563
2 199062
3 199841
4 198536
5 199536
6 195632
7 198225
8 195625
9 196424
10 196223
11 200217
12 195416
13 197913
14 195611
15 199211
16 198410
17 19959
18 19959
19 19799
20 19726

About John D. Garrison

John D. Garrison is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Nuclear and High Energy Physics, Aerospace Engineering and Radiation, having authored 39 papers that have together received 528 indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (17 papers), Solar Radiation and Photovoltaics (13 papers), Photovoltaic System Optimization Techniques (11 papers), Nuclear physics research studies (11 papers), Nuclear Physics and Applications (6 papers), Nuclear reactor physics and engineering (6 papers), Atomic and Molecular Physics (3 papers) and Building Energy and Comfort Optimization (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (167 citations), Nuclear and High Energy Physics (112 citations), Building and Construction (88 citations), Radiation (51 citations) and Artificial Intelligence (166 citations). John D. Garrison has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include R. E. Collins, Christian A. Gueymard, O. Chamberlain, B. Roos, E. C. Fowler, T. W. Morris, Kamran Sahami, Anthony C. Fischer‐Cripps, G. M. Turner and Christopher Dey. Their work appears in journals such as Solar Energy, Annals of Physics, Nuclear Physics A, Building and Environment and Nuclear Science and Engineering.

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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