Christian Künkel

1.1k total citations
31 papers, 826 citations indexed

About

Christian Künkel is a scholar working on Materials Chemistry, Catalysis and Computational Theory and Mathematics. According to data from OpenAlex, Christian Künkel has authored 31 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 11 papers in Catalysis and 8 papers in Computational Theory and Mathematics. Recurrent topics in Christian Künkel's work include Machine Learning in Materials Science (9 papers), Catalytic Processes in Materials Science (9 papers) and Computational Drug Discovery Methods (8 papers). Christian Künkel is often cited by papers focused on Machine Learning in Materials Science (9 papers), Catalytic Processes in Materials Science (9 papers) and Computational Drug Discovery Methods (8 papers). Christian Künkel collaborates with scholars based in Germany, Spain and United States. Christian Künkel's co-authors include Francesc Viñes, Francesc Illas, Karsten Reuter, Johannes T. Margraf, Harald Oberhofer, Ke Chen, Narcı́s Homs, Xianyun Liu, Pilar Ramı́rez de la Piscina and Simon Wengert and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Accounts of Chemical Research.

In The Last Decade

Christian Künkel

30 papers receiving 815 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Künkel Germany 14 616 212 179 158 152 31 826
Tomomi Shimazaki Japan 20 709 1.2× 106 0.5× 391 2.2× 84 0.5× 133 0.9× 63 1.4k
Jacob Townsend United States 12 331 0.5× 77 0.4× 104 0.6× 124 0.8× 82 0.5× 16 887
Hieu A. Doan United States 14 717 1.2× 344 1.6× 243 1.4× 109 0.7× 364 2.4× 25 1.0k
Keld T. Lundgaard United States 4 955 1.6× 510 2.4× 310 1.7× 96 0.6× 522 3.4× 6 1.4k
Max J. Hoffmann United States 13 826 1.3× 514 2.4× 148 0.8× 84 0.5× 366 2.4× 15 1.1k
С. А. Гуда Russia 15 638 1.0× 150 0.7× 126 0.7× 74 0.5× 156 1.0× 59 933
Pei‐Lin Kang China 13 601 1.0× 216 1.0× 87 0.5× 51 0.3× 163 1.1× 16 790
David D. Landis Denmark 6 1.5k 2.4× 542 2.6× 539 3.0× 118 0.7× 741 4.9× 7 2.0k
Jacob R. Boes United States 13 737 1.2× 223 1.1× 249 1.4× 86 0.5× 475 3.1× 13 1.0k
Jan Kaczmarczyk Poland 16 440 0.7× 145 0.7× 114 0.6× 93 0.6× 98 0.6× 35 966

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
1.
Künkel, Christian, et al.. (2025). Model driven adaptive design with concentration profiles. The Journal of Chemical Physics. 163(22).
2.
Künkel, Christian, Esteban Gioria, Raoul Naumann d’Alnoncourt, et al.. (2024). Systematic Exploration of a Multi-Promoter Catalyst Composition Space with Limited Experiments: Non-Oxidative Propane Dehydrogenation to Propylene. ACS Catalysis. 14(11). 9008–9017. 8 indexed citations
3.
4.
Chen, Ke, Christian Künkel, Bingqing Cheng, Karsten Reuter, & Johannes T. Margraf. (2023). Physics-inspired machine learning of localized intensive properties. Chemical Science. 14(18). 4913–4922. 10 indexed citations
5.
Künkel, Christian, et al.. (2023). Interpreting ultrafast electron transfer on surfaces with a converged first-principles Newns–Anderson chemisorption function. The Journal of Chemical Physics. 158(23). 4 indexed citations
6.
Künkel, Christian, et al.. (2023). Potential of ultrasonics for energy saving in the household washing process. Energy Efficiency. 16(5). 6 indexed citations
7.
Wengert, Simon, et al.. (2022). Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model. Machine Learning Science and Technology. 3(1). 15032–15032. 28 indexed citations
8.
Künkel, Christian, et al.. (2022). Effect of the pre-treatment of stains with ultrasound in household laundry cleaning. Tenside Surfactants Detergents. 59(2). 168–175. 3 indexed citations
9.
Künkel, Christian, Johannes T. Margraf, Ke Chen, Harald Oberhofer, & Karsten Reuter. (2021). Active discovery of organic semiconductors. Nature Communications. 12(1). 2422–2422. 100 indexed citations
10.
Künkel, Christian, et al.. (2021). Electronic property trends of single-component organic molecular crystals containing C, N, O, and H. Computational Materials Science. 197. 110510–110510. 2 indexed citations
11.
Cheng, Bingqing, Ryan‐Rhys Griffiths, Simon Wengert, et al.. (2020). Mapping Materials and Molecules. Accounts of Chemical Research. 53(9). 1981–1991. 89 indexed citations
12.
Jung, Hyunwook, Sina Stocker, Christian Künkel, et al.. (2020). Size‐Extensive Molecular Machine Learning with Global Representations. ChemSystemsChem. 2(4). 25 indexed citations
13.
Künkel, Christian, Christoph Schober, Harald Oberhofer, & Karsten Reuter. (2019). Knowledge discovery through chemical space networks: the case of organic electronics. Journal of Molecular Modeling. 25(4). 87–87. 11 indexed citations
14.
15.
Künkel, Christian, Francesc Viñes, Pedro J. Ramírez, José A. Rodríguez, & Francesc Illas. (2018). Combining Theory and Experiment for Multitechnique Characterization of Activated CO2 on Transition Metal Carbide (001) Surfaces. The Journal of Physical Chemistry C. 123(13). 7567–7576. 24 indexed citations
16.
Künkel, Christian, Francesc Viñes, Mirtha A. O. Lourenço, et al.. (2017). Selectivity for CO2 over CH4 on a functionalized periodic mesoporous phenylene-silica explained by transition state theory. Chemical Physics Letters. 671. 161–164. 12 indexed citations
17.
Liu, Xianyun, Christian Künkel, Pilar Ramı́rez de la Piscina, et al.. (2017). Effective and Highly Selective CO Generation from CO2 Using a Polycrystalline α-Mo2C Catalyst. ACS Catalysis. 7(7). 4323–4335. 123 indexed citations
18.
Westerberg, Björn, Christian Künkel, & C.U. Ingemar Odenbrand. (2003). Transient modelling of a HC-SCR catalyst for diesel exhaust aftertreatment. Chemical Engineering Journal. 92(1-3). 27–39. 18 indexed citations
19.
Künkel, Christian & C.U. Ingemar Odenbrand. (2001). Bench Scale NOX Trap System For Diesel Applications. SAE technical papers on CD-ROM/SAE technical paper series. 3 indexed citations
20.
Künkel, Christian, C.U. Ingemar Odenbrand, & Björn Westerberg. (1999). A Catalytic NOX After-Treatment System for Heavy-Duty Trucks Using Diesel Fuel as Reducing Agent. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations

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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