2026 Kieron Burke: Physics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Physics	87	2421	2301	1217	1134	383	296203

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Physics

2421

2301

1217

1134

383

296203

Research.com Recognitions

2017 - Fellow of the American Association for the Advancement of Science (AAAS)
2007 - Fellow of American Physical Society (APS) Citation For his seminal contributions to the development and application of the density functional theory of ground and excited electronic states, and electronic dynamics in condensed matter

Overview

Kieron Burke is affiliated with the University of California, Irvine in the United States. Their research spans significant areas within physics and chemistry, with a substantial focus on atomic and molecular physics, materials chemistry, and theoretical aspects of physical chemistry. Their main fields of study include Physics and Astronomy and Chemistry, with notable contributions also in subfields such as Atomic and Molecular Physics, and Optics, Materials Chemistry, Inorganic Chemistry, Physical and Theoretical Chemistry, and Catalysis.

The scientist's work covers a range of advanced topics, including:

Advanced Chemical Physics Studies
Machine Learning in Materials Science
Spectroscopy and Quantum Chemical Studies
Catalysis and Oxidation Reactions
Inorganic Fluorides and Related Compounds
Advanced Physical and Chemical Molecular Interactions
High-pressure Geophysics and Materials

Kieron Burke has published extensively, with frequent contributions to venues such as arXiv (Cornell University), The Journal of Physical Chemistry Letters, The Journal of Chemical Physics, Physical Review B, and Physical Review Letters.

Some of the recent papers include:

Quantum chemical accuracy from density functional approximations via machine learning, 2020, Nature Communications
Retrospective on a decade of machine learning for chemical discovery, 2020, Nature Communications
Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics, 2021, Physical Review Letters
Roadmap on Machine learning in electronic structure, 2022, Electronic Structure
Improving Results by Improving Densities: Density-Corrected Density Functional Theory, 2022, Journal of the American Chemical Society

Collaborations form an important part of Burke's research activity. Frequent co-authors include Eunji Sim, Suhwan Song, Stefan Vuckovic, Ryan Pederson, and Antonio C. Cancio.

Kieron Burke has been recognized by professional societies, being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2017 and a Fellow of the American Physical Society (APS) in 2007. The APS fellowship citation notes pioneering work in the development and application of density functional theory for both ground and excited electronic states, as well as electronic dynamics in condensed matter.

Best Publications

Generalized Gradient Approximation Made Simple

John P. Perdew;Kieron Burke;Matthias Ernzerhof

196614
Citations
Generalized Gradient Approximation Made Simple [Phys. Rev. Lett. 77, 3865 (1996)]

John P. Perdew;Kieron Burke;Matthias Ernzerhof

18221
Citations
Restoring the Density-Gradient Expansion for Exchange in Solids and Surfaces

John P. Perdew;Adrienn Ruzsinszky;Gábor I. Csonka;Oleg A. Vydrov

12289
Citations
Generalized gradient approximation for the exchange-correlation hole of a many-electron system

John P. Perdew;Kieron Burke;Yue Wang

7285
Citations
Rationale for mixing exact exchange with density functional approximations

John P. Perdew;Matthias Ernzerhof;Kieron Burke

6655
Citations
Perdew, Burke, and Ernzerhof Reply:

John P. Perdew;Kieron Burke;Matthias Ernzerhof

1421
Citations
Perspective on density functional theory

Kieron Burke

1407
Citations
Time-dependent density functional theory: Past, present, and future

Kieron Burke;Jan Werschnik;E. K. U. Gross

1041
Citations
Time-Dependent Density Functional Theory

Miguel A. L. Marques;Carsten A. Ullrich;Fernando Nogueira;Angel Rubio

801
Citations
By-passing the Kohn-Sham equations with machine learning

Felix Brockherde;Leslie Vogt;Li Li;Mark E. Tuckerman

773
Citations
Bypassing the Kohn-Sham equations with machine learning

Felix Brockherde;Felix Brockherde;Leslie Vogt;Li Li;Mark E. Tuckerman;Mark E. Tuckerman

707
Citations
Finding density functionals with machine learning.

John C. Snyder;Matthias Rupp;Katja Hansen;Klaus Robert Müller;Klaus Robert Müller

651
Citations
Double excitations within time-dependent density functional theory linear response

Neepa T. Maitra;Fan Zhang;Robert J. Cave;Kieron Burke

583
Citations
Understanding band gaps of solids in generalized Kohn–Sham theory

John P. Perdew;Weitao Yang;Kieron Burke;Zenghui Yang

579
Citations
Self-Interaction Errors in Density-Functional Calculations of Electronic Transport

C. Toher;A. Filippetti;S. Sanvito;Kieron Burke

436
Citations
Erratum: Restoring the Density-Gradient Expansion for Exchange in Solids and Surfaces [Phys. Rev. Lett. 100 , 136406 (2008)]

John P. Perdew;Adrienn Ruzsinszky;Gábor I. Csonka;Oleg A. Vydrov

434
Citations
Comparison shopping for a gradient-corrected density functional

John P. Perdew;Kieron Burke

408
Citations
Escaping the symmetry dilemma through a pair-density interpretation of spin-density functional theory

John P. Perdew;John P. Perdew;John P. Perdew;Andreas Savin;Andreas Savin;Andreas Savin;Kieron Burke;Kieron Burke;Kieron Burke

404
Citations
Excitation Energies from Time-Dependent Density Functional Theory Using Exact and Approximate Potentials

Martin Petersilka;E. K. U. Gross;Kieron Burke

85
Citations
Finding density functionals with machine learning

John Snyder;Matthias Rupp;Katja Hansen;Klaus Mueller

0
Citations