Hermann Tribukait

1.0k total citations · 1 hit paper
6 papers, 715 citations indexed

About

Hermann Tribukait is a scholar working on Materials Chemistry, Biomedical Engineering and Information Systems and Management. According to data from OpenAlex, Hermann Tribukait has authored 6 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 3 papers in Biomedical Engineering and 2 papers in Information Systems and Management. Recurrent topics in Hermann Tribukait's work include Machine Learning in Materials Science (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Advanced Photocatalysis Techniques (2 papers). Hermann Tribukait is often cited by papers focused on Machine Learning in Materials Science (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Advanced Photocatalysis Techniques (2 papers). Hermann Tribukait collaborates with scholars based in Switzerland, Mexico and United States. Hermann Tribukait's co-authors include Alán Aspuru‐Guzik, Carlos Amador‐Bedolla, Loı̈c M. Roch, Dennis Sheberla, Christoph Kreisbeck, Christoph J. Brabec, Joseph H. Montoya, Daniel P. Tabor, Benji Maruyama and Muratahan Aykol and has published in prestigious journals such as Nature Reviews Materials, Current Opinion in Green and Sustainable Chemistry and Reaction Chemistry & Engineering.

In The Last Decade

Hermann Tribukait

5 papers receiving 695 citations

Hit Papers

align trajectories

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.

Accelerating the discovery of materials for clean energy in the era of smart automation

2018 572 citations Daniel P. Tabor, Loı̈c M. Roch et al. Nature Reviews Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hermann Tribukait Switzerland	5	461	223	137	98	90	6	715
Xiaobo Ji China	13	397 0.9×	240 1.1×	105 0.8×	66 0.7×	61 0.7×	33	806
Nicola Rankin United Kingdom	5	594 1.3×	183 0.8×	309 2.3×	127 1.3×	141 1.6×	5	1.1k
Rishi E. Kumar United States	9	558 1.2×	483 2.2×	85 0.6×	102 1.0×	46 0.5×	22	896
Tarak K. Patra India	16	609 1.3×	149 0.7×	148 1.1×	34 0.3×	127 1.4×	50	992
Steven K. Kauwe United States	11	743 1.6×	156 0.7×	107 0.8×	46 0.5×	185 2.1×	15	970
Anqi Hu China	13	387 0.8×	127 0.6×	113 0.8×	210 2.1×	58 0.6×	54	1.1k
Paul Raccuglia United States	2	872 1.9×	245 1.1×	183 1.3×	88 0.9×	198 2.2×	2	1.3k
Sangwon Lee South Korea	11	595 1.3×	117 0.5×	109 0.8×	39 0.4×	73 0.8×	18	853
G. Lambard Japan	9	395 0.9×	129 0.6×	75 0.5×	42 0.4×	143 1.6×	16	624
Sai Govind Hari Kumar Canada	8	401 0.9×	362 1.6×	47 0.3×	168 1.7×	54 0.6×	9	860

Countries citing papers authored by Hermann Tribukait

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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6 of 6 papers shown

1.

Wu, EX, L. Brey, Hermann Tribukait, et al.. (2025). Bridging Innovation and Efficiency: The Promises and Challenges of Self-Driving Labs as Sustainable Drivers for Chemistry. CHIMIA International Journal for Chemistry. 79(9). 600–605.

2.

Ramírez, Adrián, Erwin Lam, Yuhui Hou, et al.. (2024). Accelerated exploration of heterogeneous CO2 hydrogenation catalysts by Bayesian-optimized high-throughput and automated experimentation. Chem Catalysis. 4(2). 100888–100888. 22 indexed citations

3.

Tribukait, Hermann, et al.. (2023). How to Accelerate R&D and Optimize Experiment Planning with Machine Learning and Data Science. CHIMIA International Journal for Chemistry. 77(1/2). 7–7. 9 indexed citations

4.

Hickman, Riley J., et al.. (2023). Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization. Reaction Chemistry & Engineering. 8(9). 2284–2296. 12 indexed citations

5.

Mejía-Mendoza, L.M., Andrés Aguilar‐Granda, Benjamín Sánchez-Lengeling, et al.. (2020). Materials Acceleration Platforms: On the way to autonomous experimentation. Current Opinion in Green and Sustainable Chemistry. 25. 100370–100370. 100 indexed citations

6.

Tabor, Daniel P., Loı̈c M. Roch, Semion K. Saikin, et al.. (2018). Accelerating the discovery of materials for clean energy in the era of smart automation. Nature Reviews Materials. 3(5). 5–20. 572 indexed citations breakdown →

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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