Mark E. Tuckerman
Impact in
- Catalysis top 0.2%
- Ionic liquids properties and applications
- Atomic and Molecular Physics, and Optics top 0.05%
- Spectroscopy and Quantum Chemical Studies
- Advanced Chemical Physics Studies
- Quantum, superfluid, helium dynamics
Papers in
-
- Spectroscopy and Quantum Chemical Studies 111
- Advanced Chemical Physics Studies 68
- Quantum, superfluid, helium dynamics 55
-
- Crystallography and molecular interactions 20
- Co-authors
- Glenn J. Martyna (34 shared papers)Michael Lawrence Klein (17 shared papers)Michele Parrinello (11 shared papers)B. J. Berne (10 shared papers)Dominik Marx (11 shared papers)Jürg Hutter (2 shared papers)Douglas J. Tobias (2 shared papers)Hee‐Seung Lee (9 shared papers)
- Journals
- The Journal of Chemical Physics (58 papers)The Journal of Physical Chemistry B (20 papers)Journal of Chemical Theory and Computation (13 papers)Physical Review Letters (11 papers)The Journal of Physical Chemistry Letters (9 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Mark E. Tuckerman
233 papers receiving 32.1k citations
Mark E. Tuckerman's Hit Papers
Peers
Comparison fields: 5 of 181
- Catalysis 3.0k
- Atomic and Molecular Physics, and Optics 13.4k
- Physical and Theoretical Chemistry 3.8k
- Filtration and Separation 831
- Spectroscopy 4.1k
Countries citing papers authored by Mark E. Tuckerman
This map shows the geographic impact of Mark E. Tuckerman'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 Mark E. Tuckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Tuckerman more than expected).
Fields of papers citing papers by Mark E. Tuckerman
This network shows the impact of papers produced by Mark E. Tuckerman. 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 Mark E. Tuckerman. The network helps show where Mark E. Tuckerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Tuckerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nosé–Hoover chains: The canonical ensemble via continuous dynamics Hit paper breakdown → | 1992 | 5015 |
| 2 | Reversible multiple time scale molecular dynamics Hit paper breakdown → | 1992 | 3063 |
| 3 | Deep Eutectic Solvents: A Review of Fundamentals and Applications Hit paper breakdown → | 2020 | 2721 |
| 4 | The nature of the hydrated excess proton in water Hit paper breakdown → | 1999 | 1648 |
| 5 | Explicit reversible integrators for extended systems dynamics Hit paper breakdown → | 1996 | 1536 |
| 6 | The nature and transport mechanism of hydrated hydroxide ions in aqueous solution Hit paper breakdown → | 2002 | 920 |
| 7 | Ab initio molecular dynamics simulation of the solvation and transport of hydronium and hydroxyl ions in water Hit paper breakdown → | 1995 | 784 |
| 8 | On the Quantum Nature of the Shared Proton in Hydrogen Bonds Hit paper breakdown → | 1997 | 657 |
| 9 | 1999 | 597 | |
| 10 | Ab Initio Molecular Dynamics Simulation of the Solvation and Transport of H3O+ and OH- Ions in Water Hit paper breakdown → | 1995 | 559 |
| 11 | The mechanism of proton conduction in phosphoric acid Hit paper breakdown → | 2012 | 527 |
| 12 | Report on the sixth blind test of organic crystal structure prediction methods Hit paper breakdown → | 2016 | 506 |
| 13 | A Liouville-operator derived measure-preserving integrator for molecular dynamics simulations in the isothermal–isobaric ensemble Hit paper breakdown → | 2006 | 499 |
| 14 | Aqueous Basic Solutions: Hydroxide Solvation, Structural Diffusion, and Comparison to the Hydrated Proton Hit paper breakdown → | 2010 | 447 |
| 15 | Efficient molecular dynamics and hybrid Monte Carlo algorithms for path integrals Hit paper breakdown → | 1993 | 422 |
| 16 | 2005 | 371 | |
| 17 | 1999 | 337 | |
| 18 | 1996 | 300 | |
| 19 | Quantum chemical accuracy from density functional approximations via machine learning Hit paper breakdown → | 2020 | 295 |
| 20 | 2006 | 262 |
About Mark E. Tuckerman
Mark E. Tuckerman is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry, Spectroscopy, Statistical and Nonlinear Physics and Materials Chemistry, having authored 238 papers that have together received 33.0k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (111 papers), Advanced Chemical Physics Studies (68 papers), Quantum, superfluid, helium dynamics (55 papers), Protein Structure and Dynamics (50 papers), Fuel Cells and Related Materials (23 papers), Machine Learning in Materials Science (21 papers), Crystallography and molecular interactions (20 papers) and Advanced Thermodynamics and Statistical Mechanics (15 papers). The work is most often cited by research in Catalysis (3.0k citations), Atomic and Molecular Physics, and Optics (13.4k citations), Physical and Theoretical Chemistry (3.8k citations), Filtration and Separation (831 citations) and Spectroscopy (4.1k citations). Mark E. Tuckerman has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Glenn J. Martyna, Michael Lawrence Klein, Michele Parrinello, B. J. Berne, Dominik Marx, Jürg Hutter, Douglas J. Tobias, Hee‐Seung Lee, Michiel Sprik and Kari E. Laasonen. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, Physical Review Letters and The Journal of Physical Chemistry Letters.
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.