Matthias Scheffler
Impact in
- Catalysis top 0.05%
- Catalysis and Oxidation Reactions
- Atomic and Molecular Physics, and Optics top 0.01%
- Advanced Chemical Physics Studies
- Surface and Thin Film Phenomena
Papers in
-
- Advanced Chemical Physics Studies 227
- Surface and Thin Film Phenomena 81
- Quantum, superfluid, helium dynamics 38
-
- Machine Learning in Materials Science 65
- Catalytic Processes in Materials Science 63
- Chemical and Physical Properties of Materials 39
- Co-authors
- Alexandre Tkatchenko (23 shared papers)Karsten Reuter (38 shared papers)Jörg Neugebauer (27 shared papers)Patrick Rinke (58 shared papers)Catherine Stampfl (25 shared papers)Xinguo Ren (27 shared papers)Volker Blüm (24 shared papers)Axel Groß (18 shared papers)
- Journals
- Physical Review Letters (99 papers)Physical review. B, Condensed matter (62 papers)Physical Review B (56 papers)Surface Science (27 papers)New Journal of Physics (16 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Matthias Scheffler
484 papers receiving 54.0k citations
Matthias Scheffler's Hit Papers
Peers
Comparison fields: 5 of 158
- Catalysis 5.3k
- Atomic and Molecular Physics, and Optics 23.1k
- Materials Chemistry 33.8k
- Condensed Matter Physics 6.0k
- Renewable Energy, Sustainability and the Environment 5.6k
Countries citing papers authored by Matthias Scheffler
This map shows the geographic impact of Matthias Scheffler'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 Matthias Scheffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Scheffler more than expected).
Fields of papers citing papers by Matthias Scheffler
This network shows the impact of papers produced by Matthias Scheffler. 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 Matthias Scheffler. The network helps show where Matthias Scheffler may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Scheffler, 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 493 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Accurate Molecular Van Der Waals Interactions from Ground-State Electron Density and Free-Atom Reference Data Hit paper breakdown → | 2009 | 5121 |
| 2 | Adsorbate-substrate and adsorbate-adsorbate interactions of Na and K adlayers on Al(111) Hit paper breakdown → | 1992 | 2467 |
| 3 | Ab initio molecular simulations with numeric atom-centered orbitals Hit paper breakdown → | 2009 | 2251 |
| 4 | Composition, structure, and stability of Hit paper breakdown → | 2001 | 1852 |
| 5 | New tolerance factor to predict the stability of perovskite oxides and halides Hit paper breakdown → | 2019 | 1326 |
| 6 | Accurate and Efficient Method for Many-Body van der Waals Interactions Hit paper breakdown → | 2012 | 1206 |
| 7 | Big Data of Materials Science: Critical Role of the Descriptor Hit paper breakdown → | 2015 | 690 |
| 8 | CO Oxidation as a Prototypical Reaction for Heterogeneous Processes Hit paper breakdown → | 2011 | 678 |
| 9 | Resolution-of-identity approach to Hartree–Fock, hybrid density functionals, RPA, MP2 andGWwith numeric atom-centered orbital basis functions Hit paper breakdown → | 2012 | 597 |
| 10 | Trends of the surface relaxations, surface energies, and work functions of the 4dtransition metals Hit paper breakdown → | 1992 | 500 |
| 11 | Efficient integration for all-electron electronic structure calculation using numeric basis functions Hit paper breakdown → | 2009 | 481 |
| 12 | Density-Functional Theory with Screened van der Waals Interactions for the Modeling of Hybrid Inorganic-Organic Systems Hit paper breakdown → | 2012 | 478 |
| 13 | 1998 | 455 | |
| 14 | 2000 | 452 | |
| 15 | Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies Hit paper breakdown → | 2013 | 451 |
| 16 | Understanding band gaps of solids in generalized Kohn–Sham theory Hit paper breakdown → | 2017 | 444 |
| 17 | 2004 | 443 | |
| 18 | 2003 | 442 | |
| 19 | 1991 | 410 | |
| 20 | 1998 | 399 |
About Matthias Scheffler
Matthias Scheffler is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Condensed Matter Physics and Atmospheric Science, having authored 493 papers that have together received 54.8k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (227 papers), Surface and Thin Film Phenomena (81 papers), Machine Learning in Materials Science (65 papers), Catalytic Processes in Materials Science (63 papers), nanoparticles nucleation surface interactions (60 papers), Catalysis and Oxidation Reactions (40 papers), Chemical and Physical Properties of Materials (39 papers) and Quantum, superfluid, helium dynamics (38 papers). The work is most often cited by research in Catalysis (5.3k citations), Atomic and Molecular Physics, and Optics (23.1k citations), Materials Chemistry (33.8k citations), Condensed Matter Physics (6.0k citations) and Renewable Energy, Sustainability and the Environment (5.6k citations). Matthias Scheffler has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Alexandre Tkatchenko, Karsten Reuter, Jörg Neugebauer, Patrick Rinke, Catherine Stampfl, Xinguo Ren, Volker Blüm, Axel Groß, Luca M. Ghiringhelli and Roland Stumpf. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter, Physical Review B, Surface Science and New Journal of Physics.
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.