M. Hai

1.4k citations
8 papers · 1.1k · 1 hit paper · h-index 7

Impact in

    • Neutrino Physics Research
    • Dark Matter and Cosmic Phenomena
    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • Nuclear physics research studies
  • Radiation top 10%
    • Radiation Detection and Scintillator Technologies

Papers in

M. Hai

8 papers receiving 1.1k citations

M. Hai's Hit Papers

Observation of coherent elastic neutrino-nucleus scattering 2017 · 591 citations
5910+3+6Years since publication100200300400500

Peers

M. Hai
Comparison fields: 5 of 22
  • Nuclear and High Energy Physics 1k
  • Radiation 60
  • Instrumentation 2
  • Astronomy and Astrophysics 14
  • Atmospheric Science 9
Replace A. Shakirov with:
A. Shakirov Russia
M. Laurin United States
S. Saha India
F. Girard United States
G. C. Rich United States
C. Awe United States
S. Seth India
V. O. Naidenov Russia
D. Q. Fang China
Aaron M. Hurst United States
M. Hai relative to A. Shakirov Russia A. Shakirov's profile →
Citations per field
00.5×2×4×6×8×9.3×
A. Shakirov · 1×
Citations per year

Countries citing papers authored by M. Hai

Since Specialization
Citations

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

Fields of papers citing papers by M. Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside M. Hai, 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 M. Hai Line = papers co-authored together M. Hai links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Observation of coherent elastic neutrino-nucleus scattering
Hit paper breakdown →
2017591
2 2015213
3 2016122
4 201770
5 201465
6 201310
7 20159
8 20153

About M. Hai

M. Hai is a scholar working on Nuclear and High Energy Physics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (5 papers) and Neutrino Physics Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (1k citations), Radiation (60 citations), Instrumentation (2 citations), Astronomy and Astrophysics (14 citations) and Atmospheric Science (9 citations). M. Hai has collaborated with scholars based in United States, India and Spain. Frequent co-authors include John L. Orrell, Cory T. Overman, T. W. Hossbach, N.E. Fields, J. I. Collar, Bjorn Scholz, Gopakumar Perumpilly, Brent A. VanDevender, Erin S. Fuller and Katarina M. Yocum. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Science, Physical Review Letters, Physical review. D and EPJ Web of Conferences.

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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