Kai Trepte

777 citations
23 papers · 542 · h-index 13

Impact in

Papers in

Kai Trepte

23 papers receiving 537 citations

Peers

Kai Trepte
Comparison fields: 5 of 68
  • Inorganic Chemistry 104
  • Atomic and Molecular Physics, and Optics 206
  • Materials Chemistry 284
  • Physical and Theoretical Chemistry 44
  • Catalysis 33
Replace José Manuel Vásquez‐Pérez with:
José Manuel Vásquez‐Pérez Mexico
Chien‐Pin Chou Taiwan
Annika Bande Germany
Ioan-Bogdan Magdău United Kingdom
Gabriel U. Gamboa United States
Tamara Husch Switzerland
Kimichi Suzuki Japan
Javier Carmona‐Espíndola Mexico
P. Kolandaivel India
Michael N. Groves United States
Kai Trepte relative to José Manuel Vásquez‐Pérez Mexico José Manuel Vásquez‐Pérez's profile →
Citations per field
00.5×1.5×1.8×
José Manuel Vásquez‐Pérez · 1×
Citations per year

Countries citing papers authored by Kai Trepte

Since Specialization
Citations

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

Fields of papers citing papers by Kai Trepte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013189
2 201942
3 201432
4 201528
5 201827
6 201825
7 201723
8 201622
9 201820
10 201919
11 201817
12 201813
13 202012
14 202111
15 202210
16 201910
17 202210
18 20158
19 20177
20 20216

About Kai Trepte

Kai Trepte is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Inorganic Chemistry, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 23 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (12 papers), Machine Learning in Materials Science (7 papers), Magnetism in coordination complexes (4 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Chemical Thermodynamics and Molecular Structure (3 papers), Quantum, superfluid, helium dynamics (3 papers), Catalysis and Oxidation Reactions (3 papers) and Advanced NMR Techniques and Applications (2 papers). The work is most often cited by research in Inorganic Chemistry (104 citations), Atomic and Molecular Physics, and Optics (206 citations), Materials Chemistry (284 citations), Physical and Theoretical Chemistry (44 citations) and Catalysis (33 citations). Kai Trepte has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Sebastian Schwalbe, Jens Kortus, Gotthard Seifert, Koblar Alan Jackson, Juan E. Peralta, Zhenan Bao, Johannes Hachmann, Süleyman Er, Anatoliy N. Sokolov and Martin A. Blood-Forsythe. Their work appears in journals such as Journal of Computational Chemistry, The Journal of Chemical Physics, Physical Chemistry Chemical Physics, The Journal of Physical Chemistry A and Dalton Transactions.

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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