Oliver Schilter

655 total citations · 1 hit paper
9 papers, 335 citations indexed

About

Oliver Schilter is a scholar working on Materials Chemistry, Artificial Intelligence and Environmental Chemistry. According to data from OpenAlex, Oliver Schilter has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 2 papers in Artificial Intelligence and 2 papers in Environmental Chemistry. Recurrent topics in Oliver Schilter's work include Machine Learning in Materials Science (6 papers), Chemistry and Chemical Engineering (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Oliver Schilter is often cited by papers focused on Machine Learning in Materials Science (6 papers), Chemistry and Chemical Engineering (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Oliver Schilter collaborates with scholars based in Switzerland and United States. Oliver Schilter's co-authors include Philippe Schwaller, Carlo Baldassari, Sam Cox, Andres M. Bran, Andrew Dickson White, Teodoro Laino, Alain C. Vaucher, Federico Zipoli, Alberto García-Durán and Loı̈c M. Roch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Green Chemistry and Industrial & Engineering Chemistry Research.

In The Last Decade

Oliver Schilter

9 papers receiving 320 citations

Hit Papers

Augmenting large language models with chemistry tools 2024 2026 2025 2024 50 100 150 200 250

Peers

Oliver Schilter
Comparison fields: 5 of 76
  • Materials Chemistry 174
  • Computational Theory and Mathematics 68
  • Artificial Intelligence 58
  • Molecular Biology 55
  • Information Systems and Management 27
Replace Sam Cox with:
Sam Cox United States
Carlo Baldassari Switzerland
Robert MacKnight United States
Ben Kline United States
Sterling G. Baird United States
Geemi P. Wellawatte United States
Artem I. Leonov United Kingdom
Daniil A. Boiko Russia
Santiago Miret United States
Natalie S. Eyke United States
Sam Cox United States View profile →
Citations per field, relative to Oliver Schilter
Oliver Schilter · 1×
Citations per year, relative to Oliver Schilter
Oliver Schilter · 1×

Countries citing papers authored by Oliver Schilter

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Schilter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Schilter

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

All Works

9 of 9 papers shown
# Work Indexed citations
1
Augmenting large language models with chemistry tools breakdown →
268
2 13
3 1
4 2
5 8
6 6
7 26
8 10
9
Advanced Data-Driven Manufacturing.
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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