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, Pascal Friederich, Florian Häse, Alán Aspuru‐Guzik, 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

Machine-learned potentials for next-generation matter sim... 2021 2026 2022 2024 2021 100 200 300

Peers

Jonny Proppe
Comparison fields: 5 of 82
  • Materials Chemistry 585
  • Computational Theory and Mathematics 223
  • Molecular Biology 192
  • Organic Chemistry 182
  • Electrical and Electronic Engineering 158
Replace Alberto Fabrizio with:
Alberto Fabrizio Switzerland
Valentín Vassilev-Galindo Luxembourg
Benjamin Meyer Switzerland
Gregor N. C. Simm Switzerland
Rubén Laplaza Switzerland
Álvaro Vázquez‐Mayagoitia United States
Can Li China
Farnaz Heidar‐Zadeh Canada
Johannes Hachmann United States
Roberto Olivares‐Amaya United States
Alberto Fabrizio Switzerland View profile →
Citations per field, relative to Jonny Proppe
Jonny Proppe · 1×
Citations per year, relative to Jonny Proppe
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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

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 1
5 8
6 1
7 18
8 9
9 7
10 9
11 2
12 3
13
Machine-learned potentials for next-generation matter simulations breakdown →
376
14 55
15 27
16 18
17 13
18 34
19 57
20 1

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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