Loı̈c M. Roch
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 5%
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Co-authors
- Alán Aspuru‐GuzikFlorian HäseChristoph KreisbeckChristoph J. BrabecHermann TribukaitLars P. E. YunkerJason E. HeinKim K. Baldridge
- Topics
- Machine Learning in Materials Science (15 papers)Synthesis and Properties of Aromatic Compounds (8 papers)Innovative Microfluidic and Catalytic Techniques Innovation (7 papers)
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Loı̈c M. Roch
34 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Materials Chemistry 1.3k
- Electrical and Electronic Engineering 490
- Biomedical Engineering 482
- Computational Theory and Mathematics 385
- Organic Chemistry 258
Countries citing papers authored by Loı̈c M. Roch
This map shows the geographic impact of Loı̈c M. Roch'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 Loı̈c M. Roch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loı̈c M. Roch more than expected).
Fields of papers citing papers by Loı̈c M. Roch
This network shows the impact of papers produced by Loı̈c M. Roch. 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 Loı̈c M. Roch. The network helps show where Loı̈c M. Roch may publish in the future.
Co-authorship network of co-authors of Loı̈c M. Roch
This figure shows the co-authorship network connecting the top 25 collaborators of Loı̈c M. Roch. A scholar is included among the top collaborators of Loı̈c M. Roch 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 Loı̈c M. Roch. Loı̈c M. Roch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 143 | |
| 7 | 11 | |
| 8 | 95 | |
| 9 | 85 | |
| 10 | 76 | |
| 11 | Accelerating the discovery of materials for clean energy in the era of smart automationbreakdown → | 572 |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 27 | |
| 15 | 9 | |
| 16 | 59 | |
| 17 | 26 | |
| 18 | 82 | |
| 19 | Many worlds interpretation of quantum theory | 2 |
| 20 | 18 |
About Loı̈c M. Roch
Loı̈c M. Roch is a scholar working on Materials Chemistry, Information Systems and Management and Computational Theory and Mathematics, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (15 papers), Synthesis and Properties of Aromatic Compounds (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (7 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Computational Theory and Mathematics (385 citations) and Catalysis (111 citations). Loı̈c M. Roch has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Alán Aspuru‐Guzik, Florian Häse, Christoph Kreisbeck, Christoph J. Brabec, Hermann Tribukait, Lars P. E. Yunker, Jason E. Hein, Kim K. Baldridge, Semion K. Saikin and Daniel P. Tabor. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.
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.