What is he best known for?
The fields of study he is best known for:
- Statistics
- Quantum mechanics
- Law
His main research concerns Particle physics, Electron–positron annihilation, Nuclear physics, Branching fraction and Particle decay.
As part of the same scientific family, James R. Wilson usually focuses on Particle physics, concentrating on Lepton and intersecting with Muon.
In his study, which falls under the umbrella issue of Electron–positron annihilation, Atomic physics, Radiation and Mass spectrum is strongly linked to Invariant mass.
The study incorporates disciplines such as Photon and Asymmetry in addition to Nuclear physics.
His research in Branching fraction intersects with topics in Quantum chromodynamics, Resonance, X, Analytical chemistry and Semileptonic decay.
His study in Particle decay is interdisciplinary in nature, drawing from both Pion, Crystallography, Energy, Pair production and Annihilation.
His most cited work include:
- Governance and the Capacity to Manage Resilience in Regional Social-Ecological Systems (884 citations)
- Evidence for an excess of B̄→D( *)τ -ν ̄τ decays (550 citations)
- Measurement of an excess of B̄→D(*) τ-ν̄τ decays and implications for charged Higgs bosons (513 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Nuclear physics, Particle physics, Electron–positron annihilation, Branching fraction and Atomic physics.
Nuclear physics connects with themes related to Resonance in his study.
His study in Meson, B meson, Asymmetry, B-factory and Hadron is carried out as part of his Particle physics studies.
His Electron–positron annihilation research includes themes of Pi, Dalitz plot, CP violation, Bar and Annihilation.
In his work, Pair production is strongly intertwined with Particle decay, which is a subfield of Branching fraction.
In Atomic physics, James R. Wilson works on issues like Plasma, which are connected to Computational physics.
He most often published in these fields:
- Nuclear physics (28.06%)
- Particle physics (25.29%)
- Electron–positron annihilation (23.15%)
What were the highlights of his more recent work (between 2011-2021)?
- Nuclear physics (28.06%)
- Particle physics (25.29%)
- Electron–positron annihilation (23.15%)
In recent papers he was focusing on the following fields of study:
James R. Wilson mostly deals with Nuclear physics, Particle physics, Electron–positron annihilation, Branching fraction and Atomic physics.
His Nuclear physics research is multidisciplinary, relying on both Resonance, Detector and Photon.
His research related to Meson, B meson, BaBar experiment, Asymmetry and CP violation might be considered part of Particle physics.
James R. Wilson has included themes like Resonance and Standard Model in his Electron–positron annihilation study.
His research on Branching fraction frequently connects to adjacent areas such as Hadron.
His Atomic physics research incorporates elements of Electron, Magnetic field and Plasma.
Between 2011 and 2021, his most popular works were:
- Evidence for an excess of B̄→D( *)τ -ν ̄τ decays (550 citations)
- Measurement of an excess of B̄→D(*) τ-ν̄τ decays and implications for charged Higgs bosons (513 citations)
- Observation of Time Reversal Violation in the B0 Meson System (137 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Law
His scientific interests lie mostly in Nuclear physics, Particle physics, Electron–positron annihilation, Branching fraction and CP violation.
James R. Wilson combines subjects such as Resonance, Detector, Higgs boson and Photon with his study of Nuclear physics.
His studies deal with areas such as Electron and Atomic physics as well as Photon.
His Electron–positron annihilation research incorporates themes from Resonance, Standard Model, Quarkonium and Lepton.
The various areas that James R. Wilson examines in his CP violation study include B-factory and Mixing.
His B meson course of study focuses on Isospin and Particle decay.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
