Silvan Käser

25 papers receiving 506 citations

Peers

Silvan Käser
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 134
  • Materials Chemistry 280
  • Atomic and Molecular Physics, and Optics 174
  • Spectroscopy 74
  • Physical and Theoretical Chemistry 39
Replace Michael J. Willatt with:
Michael J. Willatt Switzerland
Duminda S. Ranasinghe United States
Kai Töpfer Switzerland
Eleftherios Lambros United States
Viktor Zaverkin Germany
Luke W. Bertels United States
Louis Thiry France
Apurba Nandi United States
Phillip S. Hudson United States
Thomas Spura Germany
Silvan Käser relative to Michael J. Willatt Switzerland Michael J. Willatt's profile →
Citations per field
00.5×2×3×3.9×
Michael J. Willatt · 1×
Citations per year

Countries citing papers authored by Silvan Käser

Since Specialization
Citations

This map shows the geographic impact of Silvan Käser'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 Silvan Käser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvan Käser more than expected).

Fields of papers citing papers by Silvan Käser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvan Käser. 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 Silvan Käser. The network helps show where Silvan Käser may publish in the future.

Co-authors

The 25 scholars most cited alongside Silvan Käser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvan Käser Line = papers co-authored together Silvan Käser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 202461
3 202048
4 202143
5 202237
6 202331
7 202028
8 202324
9 202320
10 202220
11 202516
12 202013
13 202512
14 202510
15 202310
16 20249
17 20259
18 20226
19 20255
20 20252

About Silvan Käser

Silvan Käser is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Physical and Theoretical Chemistry, having authored 26 papers that have together received 510 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (16 papers), Advanced Chemical Physics Studies (9 papers), Computational Drug Discovery Methods (8 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Molecular Spectroscopy and Structure (4 papers), Protein Structure and Dynamics (4 papers), Spectroscopy and Laser Applications (4 papers) and Quantum, superfluid, helium dynamics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (134 citations), Materials Chemistry (280 citations), Atomic and Molecular Physics, and Optics (174 citations), Spectroscopy (74 citations) and Physical and Theoretical Chemistry (39 citations). Silvan Käser has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus Meuwly, Kai Töpfer, Luis Itza Vazquez-Salazar, Jeremy O. Richardson, Oliver T. Unke, Eric D. Boittier, Debasish Koner, O. Anatole von Lilienfeld, Anders Steen Christensen and Kaisheng Song. Their work appears in journals such as Physical Chemistry Chemical Physics, Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Chemical Science and The Journal of Physical Chemistry A.

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.

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