Jonny Proppe

1.6k total citations · 1 hit paper
33 papers, 1.0k citations indexed

About

Jonny Proppe is a scholar working on Materials Chemistry, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Jonny Proppe has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 8 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Jonny Proppe's work include Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (8 papers) and Carbon dioxide utilization in catalysis (3 papers). Jonny Proppe is often cited by papers focused on Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (8 papers) and Carbon dioxide utilization in catalysis (3 papers). Jonny Proppe collaborates with scholars based in Germany, Switzerland and Norway. Jonny Proppe's co-authors include Markus Reiher, Florian Häse, Alán Aspuru‐Guzik, Pascal Friederich, Gregor N. C. Simm, Carmen Herrmann, Siegfried R. Waldvogel, Tamara Husch, Donald Hilvert and Matthias Tinzl and has published in prestigious journals such as Journal of the American Chemical Society, Nature Materials and Polymer.

In The Last Decade

Jonny Proppe

31 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine-learned potentials for next-generation matter simulations

2021 376 citations Pascal Friederich, Florian Häse et al. Nature Materials profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jonny Proppe	585	223	192	182	158	33	1.0k
Alberto Fabrizio	650 1.1×	232 1.0×	111 0.6×	251 1.4×	159 1.0×	27	1.0k
Valentín Vassilev-Galindo	661 1.1×	276 1.2×	187 1.0×	127 0.7×	91 0.6×	12	1.0k
Benjamin Meyer	772 1.3×	282 1.3×	158 0.8×	89 0.5×	86 0.5×	27	1.1k
Gregor N. C. Simm	522 0.9×	302 1.4×	204 1.1×	61 0.3×	105 0.7×	10	801
Rubén Laplaza	410 0.7×	188 0.8×	171 0.9×	305 1.7×	63 0.4×	46	890
Álvaro Vázquez‐Mayagoitia	1.0k 1.8×	326 1.5×	185 1.0×	157 0.9×	418 2.6×	45	1.6k
Can Li	607 1.0×	74 0.3×	203 1.1×	218 1.2×	334 2.1×	45	1.2k
Farnaz Heidar‐Zadeh	577 1.0×	341 1.5×	180 0.9×	364 2.0×	136 0.9×	60	1.5k
Johannes Hachmann	941 1.6×	341 1.5×	140 0.7×	94 0.5×	541 3.4×	25	1.7k
Roberto Olivares‐Amaya	786 1.3×	244 1.1×	144 0.8×	62 0.3×	451 2.9×	15	1.5k

Countries citing papers authored by Jonny Proppe

Since Specialization

Citations

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

Fields of papers citing papers by Jonny Proppe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonny Proppe

This figure shows the co-authorship network connecting the top 25 collaborators of Jonny Proppe. A scholar is included among the top collaborators of Jonny Proppe 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 Jonny Proppe. Jonny Proppe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Proppe, Jonny, et al.. (2025). Unveiling CO ₂ reactivity with data-driven methods. Digital Discovery. 4(3). 868–878. 1 indexed citations

2.

Ofial, Armin R., et al.. (2025). Revisiting Mayr's reactivity database: expansion, sensitivity analysis, and uncertainty quantification. Organic & Biomolecular Chemistry. 23(30). 7188–7196. 1 indexed citations

3.

Proppe, Jonny, et al.. (2025). Predicting and Explaining Yields with Machine Learning for Carboxylated Azoles and Beyond. Journal of Chemical Information and Modeling. 65(4). 1862–1872. 1 indexed citations

4.

Proppe, Jonny, et al.. (2025). regAL: Python package for active learning of regression problems. Machine Learning Science and Technology. 6(2). 25064–25064. 1 indexed citations

5.

Tinzl, Matthias, Peer R. E. Mittl, Martin Clémancey, et al.. (2024). Myoglobin-Catalyzed Azide Reduction Proceeds via an Anionic Metal Amide Intermediate. Journal of the American Chemical Society. 146(3). 1957–1966. 8 indexed citations

6.

Kirchmair, Johannes, et al.. (2024). Relevance and Potential Applications of C2‐Carboxylated 1,3‐Azoles. ChemMedChem. 19(21). e202400307–e202400307. 1 indexed citations

7.

Proppe, Jonny, et al.. (2023). Quantitative Structure–Reactivity Relationships for Synthesis Planning: The Benzhydrylium Case. The Journal of Physical Chemistry A. 128(1). 343–354. 7 indexed citations

8.

Proppe, Jonny, et al.. (2023). The computational road to reactivity scales. Physical Chemistry Chemical Physics. 25(4). 2717–2728. 18 indexed citations

9.

Zhang, Haitao, et al.. (2023). Learning Conductance: Gaussian Process Regression for Molecular Electronics. Journal of Chemical Theory and Computation. 19(3). 992–1002. 9 indexed citations

10.

Proppe, Jonny, et al.. (2022). Uncertainty Quantification of Reactivity Scales**. ChemPhysChem. 23(8). e202200061–e202200061. 9 indexed citations

11.

Proppe, Jonny, et al.. (2022). Uncertainty Quantification of Reactivity Scales. ChemPhysChem. 23(8). 2 indexed citations

12.

Friederich, Pascal, Florian Häse, Jonny Proppe, & Alán Aspuru‐Guzik. (2021). Machine-learned potentials for next-generation matter simulations. Nature Materials. 20(6). 750–761. 376 indexed citations breakdown →

13.

Proppe, Jonny, et al.. (2021). Electrosynthetic Screening and Modern Optimization Strategies for Electrosynthesis of Highly Value‐added Products. ChemElectroChem. 8(14). 2620–2620. 3 indexed citations

14.

Proppe, Jonny, et al.. (2021). Electrosynthetic Screening and Modern Optimization Strategies for Electrosynthesis of Highly Value‐added Products. ChemElectroChem. 8(14). 2621–2629. 55 indexed citations

15.

Gallenkamp, Charlotte, Ulrike I. Kramm, Jonny Proppe, & Vera Krewald. (2020). Calibration of computational Mössbauer spectroscopy to unravel active sites in FeNC catalysts for the oxygen reduction reaction. International Journal of Quantum Chemistry. 121(3). 27 indexed citations

16.

Proppe, Jonny, et al.. (2020). Exchange Spin Coupling from Gaussian Process Regression. The Journal of Physical Chemistry A. 124(42). 8708–8723. 18 indexed citations

17.

Proppe, Jonny, et al.. (2019). Gaussian Process-Based Refinement of Dispersion Corrections. Journal of Chemical Theory and Computation. 15(11). 6046–6060. 40 indexed citations

18.

Proppe, Jonny & Markus Reiher. (2018). Mechanism Deduction from Noisy Chemical Reaction Networks. Journal of Chemical Theory and Computation. 15(1). 357–370. 34 indexed citations

19.

Proppe, Jonny, Tamara Husch, Gregor N. C. Simm, & Markus Reiher. (2016). Uncertainty quantification for quantum chemical models of complex reaction networks. Faraday Discussions. 195. 497–520. 57 indexed citations

20.

Proppe, Jonny. (2015). An Extended Flory Distribution for Kinetically Controlled Step‐Growth Polymerizations Perturbed by Intramolecular Reactions. Macromolecular Theory and Simulations. 24(5). 500–512. 1 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.

Explore authors with similar magnitude of impact