Marlen Neubert
Impact in
-
- Computational Drug Discovery Methods
-
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
-
- Machine Learning and Algorithms 1
- Advanced Graph Neural Networks 1
-
- Machine Learning in Materials Science 2
- Co-authors
- Clint van Hoesel (1 shared paper)Henrik Schopmans (1 shared paper)Timo Sommer (1 shared paper)Patrick Reiser (1 shared paper)Luca Torresi (1 shared paper)Chen Shao (1 shared paper)Houssam Metni (1 shared paper)Chen Zhou (2 shared papers)
- Journals
- Communications Materials (1 paper)Digital Discovery (1 paper)
- Partner nations
- GermanyNetherlandsIreland
In The Last Decade
Marlen Neubert
2 papers receiving 454 citations
Marlen Neubert's Hit Papers
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 147
- Materials Chemistry 290
- Metals and Alloys 6
- Artificial Intelligence 68
- Physical and Theoretical Chemistry 17
Countries citing papers authored by Marlen Neubert
This map shows the geographic impact of Marlen Neubert'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 Marlen Neubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlen Neubert more than expected).
Fields of papers citing papers by Marlen Neubert
This network shows the impact of papers produced by Marlen Neubert. 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 Marlen Neubert. The network helps show where Marlen Neubert may publish in the future.
Co-authors
The 12 scholars most cited alongside Marlen Neubert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Graph neural networks for materials science and chemistry Hit paper breakdown → | 2022 | 457 |
| 2 | 2025 | 2 |
About Marlen Neubert
Marlen Neubert is a scholar working on Artificial Intelligence, Materials Chemistry, Computational Theory and Mathematics, Electrical and Electronic Engineering and Infectious Diseases, having authored 2 papers that have together received 459 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Machine Learning and Algorithms (1 paper), Advanced Graph Neural Networks (1 paper), Computational Drug Discovery Methods (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Materials Chemistry (290 citations), Metals and Alloys (6 citations), Artificial Intelligence (68 citations) and Physical and Theoretical Chemistry (17 citations). Marlen Neubert has collaborated with scholars based in Germany, Netherlands and Ireland. Frequent co-authors include Clint van Hoesel, Henrik Schopmans, Timo Sommer, Patrick Reiser, Luca Torresi, Chen Shao, Houssam Metni, Chen Zhou, Pascal Friederich and Van‐Quan Vuong. Their work appears in journals such as Communications Materials and Digital Discovery.
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.