JOHN G. LEARNED

32.5k citations
234 papers · 21.4k · 11 hit papers · h-index 66

Impact in

    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
    • Astrophysics and Cosmic Phenomena
    • Dark Matter and Cosmic Phenomena
    • Particle Detector Development and Performance
    • Cosmology and Gravitation Theories
    • Gamma-ray bursts and supernovae

Papers in

    • Neutrino Physics Research 179
    • Astrophysics and Cosmic Phenomena 167
    • Particle physics theoretical and experimental studies 95
    • Dark Matter and Cosmic Phenomena 75
    • Particle Detector Development and Performance 11
    • Radio Astronomy Observations and Technology 22
    • Gamma-ray bursts and supernovae 13

JOHN G. LEARNED

222 papers receiving 20.6k citations

JOHN G. LEARNED's Hit Papers

Search for the Majorana Nature of Neutrinos in the Inverted Mass Ordering Region with KamLAND-Zen 2023 · 158 citations
1580+13+26Years since publication10002.0k3.0k

Peers

JOHN G. LEARNED
Comparison fields: 5 of 105
  • Nuclear and High Energy Physics 20.1k
  • Astronomy and Astrophysics 3.9k
  • Radiation 761
  • Statistical and Nonlinear Physics 460
  • Atomic and Molecular Physics, and Optics 720
Replace R. Svoboda with:
R. Svoboda United States
D. A. Dwyer United States
Andreas Piepke United States
Lino Miramonti Germany
Yoshitaka Itow Japan
S. Matsuno United States
Masayuki Nakahata Japan
Karsten Heeger United States
Roberto Battiston Italy
Bruna Bertucci Italy
JOHN G. LEARNED relative to R. Svoboda United States R. Svoboda's profile →
Citations per field
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R. Svoboda · 1×
Citations per year

Countries citing papers authored by JOHN G. LEARNED

Since Specialization
Citations

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

Fields of papers citing papers by JOHN G. LEARNED

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence for Oscillation of Atmospheric Neutrinos
Hit paper breakdown →
19983231
2
First Results from KamLAND: Evidence for Reactor Antineutrino Disappearance
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20031823
3
Observation of a neutrino burst in coincidence with supernova 1987A in the Large Magellanic Cloud
Hit paper breakdown →
19871146
4
Solar B 8 and hep Neutrino Measurements from 1258 Days of Super-Kamiokande Data
Hit paper breakdown →
2001699
5
Indications of Neutrino Oscillation in a 250 km Long-Baseline Experiment
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2003661
6
The Super-Kamiokande detector
Hit paper breakdown →
2003629
7
Precision Measurement of Neutrino Oscillation Parameters with KamLAND
Hit paper breakdown →
2008527
8
Measurement of atmospheric neutrino oscillation parameters by Super-Kamiokande I
Hit paper breakdown →
2005526
9
Measurements of the Solar Neutrino Flux from Super-Kamiokande's First 300 Days
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1998523
10 2002514
11
Constraints on Neutrino Oscillations Using 1258 Days of Super-Kamiokande Solar Neutrino Data
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2001485
12 1998397
13 2006300
14 2011278
15 2008268
16 1999262
17 1999260
18 2005259
19 2000249
20 2013242

About JOHN G. LEARNED

JOHN G. LEARNED is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Radiation, Atomic and Molecular Physics, and Optics and Aerospace Engineering, having authored 234 papers that have together received 21.4k indexed citations. Recurring topics across this work include Neutrino Physics Research (179 papers), Astrophysics and Cosmic Phenomena (167 papers), Particle physics theoretical and experimental studies (95 papers), Dark Matter and Cosmic Phenomena (75 papers), Radio Astronomy Observations and Technology (22 papers), Radiation Detection and Scintillator Technologies (21 papers), Gamma-ray bursts and supernovae (13 papers) and Particle Detector Development and Performance (11 papers). The work is most often cited by research in Nuclear and High Energy Physics (20.1k citations), Astronomy and Astrophysics (3.9k citations), Radiation (761 citations), Statistical and Nonlinear Physics (460 citations) and Atomic and Molecular Physics, and Optics (720 citations). JOHN G. LEARNED has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Karl Mannheim, Sandip Pakvasa, THOMAS J. WEILER, Vernon D. Barger, Jason Kumar, Stephen T. Dye, John Francis Beacom, Dan Hooper, Nicole F. Bell and R. Svoboda. Their work appears in journals such as Physical Review Letters, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, The Astrophysical Journal, Physical review. D and Physics Letters B.

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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