Marlen Neubert

700 total citations · 1 hit paper
2 papers, 409 citations indexed

About

Marlen Neubert is a scholar working on Artificial Intelligence, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Marlen Neubert has authored 2 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Materials Chemistry and 1 paper in Computational Theory and Mathematics. Recurrent topics in Marlen Neubert's work include Machine Learning in Materials Science (2 papers), Machine Learning and Algorithms (1 paper) and Advanced Graph Neural Networks (1 paper). Marlen Neubert is often cited by papers focused on Machine Learning in Materials Science (2 papers), Machine Learning and Algorithms (1 paper) and Advanced Graph Neural Networks (1 paper). Marlen Neubert collaborates with scholars based in Germany, France and Netherlands. Marlen Neubert's co-authors include Luca Torresi, Henrik Schopmans, Timo Sommer, Chen Zhou, Pascal Friederich, Patrick Reiser, Chen Shao, Clint van Hoesel, Van‐Quan Vuong and Yumeng Zhang and has published in prestigious journals such as Communications Materials and Digital Discovery.

In The Last Decade

Marlen Neubert

2 papers receiving 398 citations

Hit Papers

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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.

Graph neural networks for materials science and chemistry

2022 407 citations Patrick Reiser, Marlen Neubert et al. Communications Materials profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marlen Neubert	270	143	69	64	60	2	409
Clint van Hoesel	274 1.0×	143 1.0×	68 1.0×	74 1.2×	60 1.0×	7	417
Timo Sommer	289 1.1×	145 1.0×	70 1.0×	70 1.1×	60 1.0×	5	442
Henrik Schopmans	300 1.1×	144 1.0×	68 1.0×	75 1.2×	61 1.0×	7	455
Luca Torresi	299 1.1×	150 1.0×	72 1.0×	94 1.5×	64 1.1×	5	481
Adam C. Mater	254 0.9×	177 1.2×	130 1.9×	53 0.8×	39 0.7×	6	471
Rishikesh Magar	310 1.1×	141 1.0×	81 1.2×	42 0.7×	76 1.3×	17	523
Oufan Zhang	388 1.4×	104 0.7×	158 2.3×	59 0.9×	66 1.1×	16	591
Daniil A. Boiko	274 1.0×	88 0.6×	107 1.6×	55 0.9×	78 1.3×	27	656
Cher Tian Ser	288 1.1×	88 0.6×	37 0.5×	121 1.9×	30 0.5×	4	479

Countries citing papers authored by Marlen Neubert

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marlen Neubert

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

All Works

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2 of 2 papers shown

1.

Zhou, Chen, Marlen Neubert, Y. Koide, et al.. (2025). PAL – parallel active learning for machine-learned potentials. Digital Discovery. 4(7). 1901–1911. 2 indexed citations

2.

Reiser, Patrick, Marlen Neubert, Luca Torresi, et al.. (2022). Graph neural networks for materials science and chemistry. Communications Materials. 3(1). 93–93. 407 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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