Daniel Kats

1.4k citations
50 papers · 1.1k · h-index 20

Impact in

Papers in

Daniel Kats

48 papers receiving 1.1k citations

Peers

Daniel Kats
Comparison fields: 5 of 51
  • Atomic and Molecular Physics, and Optics 858
  • Computational Mathematics 15
  • Physical and Theoretical Chemistry 149
  • Spectroscopy 176
  • Condensed Matter Physics 118
Replace Matthew R. Hermes with:
Matthew R. Hermes United States
Gergely Gidofalvi United States
Jun Shen United States
Thomas Kjærgaard Denmark
James McClain United States
Jürgen Wieferink Germany
Fabijan Pavošević United States
B.A. Hess Germany
Simen Reine Norway
Peter A. Limacher Canada
Daniel Kats relative to Matthew R. Hermes United States Matthew R. Hermes's profile →
Citations per field
00.5×1.5×1.9×
Matthew R. Hermes · 1×
Citations per year

Countries citing papers authored by Daniel Kats

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Kats, 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 Daniel Kats Line = papers co-authored together Daniel Kats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013107
2 201685
3 201071
4 201960
5 201458
6 199457
7 201554
8 201351
9 201831
10 201131
11 202130
12 201629
13 201229
14 201426
15 201325
16 201925
17 199324
18 202321
19 202021
20 202219

About Daniel Kats

Daniel Kats is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Condensed Matter Physics, Physical and Theoretical Chemistry and Electrical and Electronic Engineering, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (35 papers), Spectroscopy and Quantum Chemical Studies (16 papers), Physics of Superconductivity and Magnetism (7 papers), Machine Learning in Materials Science (7 papers), Quantum, superfluid, helium dynamics (5 papers), Molecular Junctions and Nanostructures (5 papers), Photochemistry and Electron Transfer Studies (5 papers) and Magnetism in coordination complexes (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (858 citations), Computational Mathematics (15 citations), Physical and Theoretical Chemistry (149 citations), Spectroscopy (176 citations) and Condensed Matter Physics (118 citations). Daniel Kats has collaborated with scholars based in Germany, United Kingdom and Russia. Frequent co-authors include Frederick R. Manby, Hans‐Joachim Werner, Ali Alavi, Martin Schütz, Giovanni Li Manni, Tatiana Korona, Filipe Menezes, Denis Usvyat, David P. Tew and Igor A. Abrikosov. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, Molecular Physics, Physical Review A and Physical Chemistry Chemical 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.

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