Hermann Tribukait
- Materials Chemistry top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Renewable Energy, Sustainability and the Environment
- Computational Theory and Mathematics top 5%
- Co-authors
- Carlos Amador‐BedollaAlán Aspuru‐GuzikLoı̈c M. RochKristin A. PerssonDennis SheberlaBenji MaruyamaDaniel P. TaborChristoph Kreisbeck
- Topics
- Machine Learning in Materials Science (6 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)Advanced Photocatalysis Techniques (2 papers)
- Journals
- Nature Reviews MaterialsCurrent Opinion in Green and Sustainable ChemistryReaction Chemistry & Engineering
- Partner nations
- SwitzerlandMexicoUnited States
In The Last Decade
Hermann Tribukait
5 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Materials Chemistry 461
- Electrical and Electronic Engineering 223
- Biomedical Engineering 137
- Renewable Energy, Sustainability and the Environment 98
- Computational Theory and Mathematics 90
Countries citing papers authored by Hermann Tribukait
This map shows the geographic impact of Hermann Tribukait'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 Hermann Tribukait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hermann Tribukait more than expected).
Fields of papers citing papers by Hermann Tribukait
This network shows the impact of papers produced by Hermann Tribukait. 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 Hermann Tribukait. The network helps show where Hermann Tribukait may publish in the future.
Co-authorship network of co-authors of Hermann Tribukait
This figure shows the co-authorship network connecting the top 25 collaborators of Hermann Tribukait. A scholar is included among the top collaborators of Hermann Tribukait 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 Hermann Tribukait. Hermann Tribukait 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 | 22 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 100 | |
| 6 | Accelerating the discovery of materials for clean energy in the era of smart automationbreakdown → | 572 |
About Hermann Tribukait
Hermann Tribukait is a scholar working on Information Systems and Management, Catalysis and Materials Chemistry, having authored 6 papers that have together received 715 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Materials Chemistry (461 citations), Catalysis (48 citations) and Renewable Energy, Sustainability and the Environment (98 citations). Hermann Tribukait has collaborated with scholars based in Switzerland, Mexico and United States. Frequent co-authors include Carlos Amador‐Bedolla, Alán Aspuru‐Guzik, Loı̈c M. Roch, Kristin A. Persson, Dennis Sheberla, Benji Maruyama, Daniel P. Tabor, Christoph Kreisbeck, Semion K. Saikin and Muratahan Aykol. Their work appears in journals such as Nature Reviews Materials, Current Opinion in Green and Sustainable Chemistry and Reaction Chemistry & Engineering.
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.