G. Koh

2.3k citations
25 papers · 1.9k · 2 hit papers · h-index 11

Impact in

    • Dark Matter and Cosmic Phenomena
    • Particle Detector Development and Performance
    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
  • Radiation top 2%
    • Radiation Detection and Scintillator Technologies
    • Radioactive Decay and Measurement Techniques

Papers in

    • Dark Matter and Cosmic Phenomena 20
    • Particle Detector Development and Performance 9
    • Neutrino Physics Research 7
    • Radiation Detection and Scintillator Technologies 2
    • Radioactive Decay and Measurement Techniques 1

G. Koh

24 papers receiving 1.8k citations

G. Koh's Hit Papers

Low-Mass Dark Matter Search with the DarkSide-50 Experiment 2018 · 347 citations
3470+2+5Years since publication100200300400500

Peers

G. Koh
Comparison fields: 5 of 48
  • Nuclear and High Energy Physics 1.6k
  • Radiation 242
  • Modeling and Simulation 81
  • Radiological and Ultrasound Technology 20
  • Statistical and Nonlinear Physics 40
Replace A. Mandarano with:
A. Mandarano United States
F. Di Eusanio United States
X. Xiang Italy
B. Reinhold United States
D. Sablone Italy
E. Segreto Italy
M. Guan Italy
Y. Ma United States
M. Cariello Italy
Bianca Bottino Italy
G. Koh relative to A. Mandarano United States A. Mandarano's profile →
Citations per field
00.5×1.5×
A. Mandarano · 1×
Citations per year

Countries citing papers authored by G. Koh

Since Specialization
Citations

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

Fields of papers citing papers by G. Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DarkSide-20k: A 20 tonne two-phase LAr TPC for direct dark matter detection at LNGS
Hit paper breakdown →
2018528
2
Low-Mass Dark Matter Search with the DarkSide-50 Experiment
Hit paper breakdown →
2018347
3 2015221
4 2018218
5 2018203
6 2016146
7 201345
8 201343
9 201519
10 201718
11 201712
12 201511
13 202011
14 20157
15 20167
16 20177
17
The DarkSide collaboration
20136
18 20166
19 20176
20 20153

About G. Koh

G. Koh is a scholar working on Nuclear and High Energy Physics, Radiation, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (20 papers), Particle Detector Development and Performance (9 papers), Neutrino Physics Research (7 papers), Radiation Detection and Scintillator Technologies (2 papers) and Radioactive Decay and Measurement Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.6k citations), Radiation (242 citations), Modeling and Simulation (81 citations), Radiological and Ultrasound Technology (20 citations) and Statistical and Nonlinear Physics (40 citations). G. Koh has collaborated with scholars based in United States, Italy and Russia. Their work appears in journals such as Journal of Instrumentation, Physical review. D, Physical Review Letters, Physics Letters B and Advances in High Energy Physics.

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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