Publication data of Wild, Stefan M.:
Link to Inspire
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Citations
Citations
w/o self-citaion
self-citaion
2010
2012
2014
2016
2018
2020
2022
2024
0
500
1000
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2000
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Created with Highcharts 9.0.1
Publications
publications per year
Publications
Publications per year
Cumulative publications
2010
2012
2014
2016
2018
2020
2022
2024
0
8
16
24
32
40
0
1.5
3
4.5
6
7.5
Created with Highcharts 9.0.1
h-index
h-index
h-index
h-index w/o self-citaion
2010
2012
2014
2016
2018
2020
2022
2024
0
5
10
15
20
Created with Highcharts 9.0.1
Citations
Breakdown of Most Cited Papers
rest
Uncertainty quantification in breakup reactions
Derivative-free optimization for parameter estimation in computational nuclear physics
Derivative-free optimization for parameter estimation in computational nucle…
Exploiting Symmetry Reduces the Cost of Training QAOA
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heav…
Machine learning-based inversion of nuclear responses
Uncertainty Quantification and Propagation in Nuclear Density Functional Theory
Uncertainty Quantification and Propagation in Nuclear Density Functional Th…
Bandwidth Enables Generalization in Quantum Kernel Models
Uncertainty Quantification for Optical Model Parameters
A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model
A Bayesian Approach for Parameter Estimation and Prediction using a Compu…
Statistical uncertainties of a chiral interaction at next-to-next-to leading order
Importance of kernel bandwidth in quantum machine learning
Error Analysis in Nuclear Density Functional Theory
Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics
Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncer…
Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements
Uncertainty Quantification for Nuclear Density Functional Theory and Inform…
Axially deformed solution of the Skyrme-Hartree-Fock-Bogolyubov equations using the transformed harmonic oscillator basis (II) HFBTHO v2.00c: a new version of the program
Axially deformed solution of the Skyrme-Hartree-Fock-Bogolyubov equations …
Nuclear energy density optimization: Shell structure
Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order
Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Ord…
Nuclear energy density optimization: Large deformations
Nuclear Energy Density Optimization
2010
2012
2014
2016
2018
2020
2022
2024
0
500
1000
1500
2000
2500
Created with Highcharts 9.0.1
Fraction [%]
Breakdown of Most Cited Papers (Fraction)
Uncertainty quantification in breakup reactions
Derivative-free optimization for parameter estimation in computational nuclear physics
Derivative-free optimization for parameter estimation in computational nucle…
Exploiting Symmetry Reduces the Cost of Training QAOA
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heav…
Machine learning-based inversion of nuclear responses
Uncertainty Quantification and Propagation in Nuclear Density Functional Theory
Uncertainty Quantification and Propagation in Nuclear Density Functional Th…
Bandwidth Enables Generalization in Quantum Kernel Models
Uncertainty Quantification for Optical Model Parameters
A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model
A Bayesian Approach for Parameter Estimation and Prediction using a Compu…
Statistical uncertainties of a chiral interaction at next-to-next-to leading order
Importance of kernel bandwidth in quantum machine learning
Error Analysis in Nuclear Density Functional Theory
Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics
Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncer…
Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements
Uncertainty Quantification for Nuclear Density Functional Theory and Inform…
Axially deformed solution of the Skyrme-Hartree-Fock-Bogolyubov equations using the transformed harmonic oscillator basis (II) HFBTHO v2.00c: a new version of the program
Axially deformed solution of the Skyrme-Hartree-Fock-Bogolyubov equations …
Nuclear energy density optimization: Shell structure
Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order
Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Ord…
Nuclear energy density optimization: Large deformations
Nuclear Energy Density Optimization
2010
2012
2014
2016
2018
2020
2022
2024
0
25
50
75
100
Created with Highcharts 9.0.1
Citations/1 Year
Citations/Period
Citations / 1 Year
Moving average
2010
2012
2014
2016
2018
2020
2022
2024
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100
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1 Month
3 Months
6 Months
12 Months