Christian Künkel

1.1k citations
31 papers · 826 indexed · h-index 14
Topics
Machine Learning in Materials Science (9 papers)Catalytic Processes in Materials Science (9 papers)Computational Drug Discovery Methods (8 papers)

In The Last Decade

Christian Künkel

30 papers receiving 815 citations

Peers

Christian Künkel
Comparison fields: 5 of 65
  • Materials Chemistry 616
  • Catalysis 212
  • Electrical and Electronic Engineering 179
  • Mechanical Engineering 158
  • Renewable Energy, Sustainability and the Environment 152
Replace Tomomi Shimazaki with:
Tomomi Shimazaki Japan
Jacob Townsend United States
Keld T. Lundgaard United States
David D. Landis Denmark
Marco Vanin Denmark
Rune Christensen Denmark
Hieu A. Doan United States
Søren Smidstrup Switzerland
Pei‐Lin Kang China
Vivien Petzold Denmark
Christian Künkel relative to Tomomi Shimazaki Japan Tomomi Shimazaki's profile →
Citations per field
00.5×1.5×
Tomomi Shimazaki · 1×
Citations per year

Countries citing papers authored by Christian Künkel

Since Specialization
Citations

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

Fields of papers citing papers by Christian Künkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Künkel

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Künkel. A scholar is included among the top collaborators of Christian Künkel 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 Christian Künkel. Christian Künkel 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 0
2 2
3 8
4 10
5 4
6 6
7 28
8 3
9 17
10 100
11 89
12 25
13 11
14 5
15 24
16 123
17 12
18 18
19 3
20 2

About Christian Künkel

Christian Künkel is a scholar working on Catalysis, Process Chemistry and Technology and Fluid Flow and Transfer Processes, having authored 31 papers that have together received 826 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Catalytic Processes in Materials Science (9 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Catalysis (212 citations), Process Chemistry and Technology (77 citations) and Materials Chemistry (616 citations). Christian Künkel has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Francesc Illas, Francesc Viñes, Karsten Reuter, Johannes T. Margraf, Harald Oberhofer, Ke Chen, Pilar Ramı́rez de la Piscina, Narcı́s Homs, Xianyun Liu and Simon Wengert. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Accounts of Chemical Research.

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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