Jan Gerit Brandenburg

6.6k citations
46 papers · 4.4k indexed · 3 hit papers · h-index 29

Jan Gerit Brandenburg

45 papers receiving 4.4k citations

Hit Papers

Dispersion-Corrected Mean-Field Electronic Structure Methods20152026201820222016201520182505007501000

Peers

Jan Gerit Brandenburg
Comparison fields: 5 of 118
  • Materials Chemistry 2.1k
  • Atomic and Molecular Physics, and Optics 1.4k
  • Organic Chemistry 1.1k
  • Physical and Theoretical Chemistry 1.0k
  • Inorganic Chemistry 718
Replace Narbe Mardirossian with:
Narbe Mardirossian United States
Roberto Peverati United States
Eike Caldeweyher Germany
Gregory J. O. Beran United States
Lori A. Burns United States
Jeng‐Da Chai Taiwan
Sebastian Spicher Germany
Robert A. DiStasio United States
Alberto Vela Mexico
Nathan E. Schultz United States
Jan Gerit Brandenburg relative to Narbe Mardirossian United States Narbe Mardirossian's profile →
Citations per field
00.5×1.7×
Narbe Mardirossian · 1×
Citations per year

Countries citing papers authored by Jan Gerit Brandenburg

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gerit Brandenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Gerit Brandenburg. 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 Jan Gerit Brandenburg. The network helps show where Jan Gerit Brandenburg may publish in the future.

Co-authorship network of co-authors of Jan Gerit Brandenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Gerit Brandenburg. A scholar is included among the top collaborators of Jan Gerit Brandenburg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Gerit Brandenburg. Jan Gerit Brandenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 62
3 6
4 71
5 97
6 94
7
B97-3c: A revised low-cost variant of the B97-D density functional methodbreakdown →
553
8 39
9 50
10 36
11 35
12 43
13 62
14
Dispersion-Corrected Mean-Field Electronic Structure Methodsbreakdown →
1192
15 41
16 94
17 4
18 47
19 20
20 97

About Jan Gerit Brandenburg

Jan Gerit Brandenburg is a scholar working on Physical and Theoretical Chemistry, Inorganic Chemistry and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (19 papers), Crystallography and molecular interactions (16 papers) and Machine Learning in Materials Science (15 papers). The work is most often cited by research in Physical and Theoretical Chemistry (1.0k citations), Inorganic Chemistry (718 citations) and Atomic and Molecular Physics, and Optics (1.4k citations). Jan Gerit Brandenburg has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stefan Grimme, Andreas Hansen, Christoph Bannwarth, Bartolomeo Civalleri, Eike Caldeweyher, Thomas Bredow, Alexandre Tkatchenko, Dario Alfè, Andrea Zen and Angelos Michaelides. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Communications.

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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