Robin Winter

2.2k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Robin Winter is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Robin Winter has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Robin Winter's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Neural Networks and Applications (3 papers). Robin Winter is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Neural Networks and Applications (3 papers). Robin Winter collaborates with scholars based in Germany and United States. Robin Winter's co-authors include Bernard Widrow, Djork-Arné Clevert, Frank Noé, Floriane Montanari, Rohan A. Baxter, M. Stevenson, Andreas Steffen, Hans Briem, Tuan Le and Dirk‐André Clevert and has published in prestigious journals such as Nature Communications, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Robin Winter

9 papers receiving 1.2k citations

Hit Papers

Learning continuous and data-driven molecular descriptors... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Winter Germany 9 575 496 358 316 193 10 1.3k
Sebastian Mika Germany 16 454 0.8× 504 1.0× 193 0.5× 323 1.0× 634 3.3× 18 1.7k
Anton Schwaighofer Germany 18 577 1.0× 255 0.5× 110 0.3× 136 0.4× 246 1.3× 36 1.3k
Guangyong Chen China 22 610 1.1× 350 0.7× 234 0.7× 216 0.7× 563 2.9× 79 2.0k
Zhijun Wu China 24 755 1.3× 115 0.2× 102 0.3× 115 0.4× 186 1.0× 161 1.9k
Volkan Atalay Türkiye 17 210 0.4× 548 1.1× 174 0.5× 742 2.3× 430 2.2× 67 1.6k
Abhinav Vishnu United States 19 202 0.4× 294 0.6× 302 0.8× 203 0.6× 107 0.6× 71 1.9k
John W. Raymond United States 14 167 0.3× 520 1.0× 133 0.4× 411 1.3× 203 1.1× 28 1.1k
Stefanie Jegelka United States 18 657 1.1× 265 0.5× 255 0.7× 66 0.2× 488 2.5× 73 1.4k
Jianren Wang United States 8 285 0.5× 291 0.6× 266 0.7× 209 0.7× 645 3.3× 26 1.3k

Countries citing papers authored by Robin Winter

Since Specialization
Citations

This map shows the geographic impact of Robin Winter'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 Robin Winter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Winter more than expected).

Fields of papers citing papers by Robin Winter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin Winter. 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 Robin Winter. The network helps show where Robin Winter may publish in the future.

Co-authorship network of co-authors of Robin Winter

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

All Works

10 of 10 papers shown
1.
Hempel, Tim, Jonathan H. Shrimp, Nina Moor, et al.. (2025). Simulations and active learning enable efficient identification of an experimentally-validated broad coronavirus inhibitor. Nature Communications. 16(1). 6949–6949.
2.
Winter, Robin, et al.. (2021). Unsupervised Representation Learning for Proteochemometric Modeling. International Journal of Molecular Sciences. 22(23). 12882–12882. 8 indexed citations
3.
Clevert, Djork-Arné, Tuan Le, Robin Winter, & Floriane Montanari. (2021). Img2Mol – accurate SMILES recognition from molecular graphical depictions. Chemical Science. 12(42). 14174–14181. 38 indexed citations
4.
Le, Tuan, Robin Winter, Frank Noé, & Djork-Arné Clevert. (2020). Neuraldecipher – reverse-engineering extended-connectivity fingerprints (ECFPs) to their molecular structures. Chemical Science. 11(38). 10378–10389. 40 indexed citations
5.
Winter, Robin, Joren Sebastian Retel, Frank Noé, Dirk‐André Clevert, & Andreas Steffen. (2020). grünifai: interactive multiparameter optimization of molecules in a continuous vector space. Bioinformatics. 36(13). 4093–4094. 9 indexed citations
6.
Winter, Robin, Floriane Montanari, Andreas Steffen, et al.. (2019). Efficient multi-objective molecular optimization in a continuous latent space. Chemical Science. 10(34). 8016–8024. 156 indexed citations
7.
Winter, Robin, Floriane Montanari, Frank Noé, & Djork-Arné Clevert. (2018). Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations. Chemical Science. 10(6). 1692–1701. 326 indexed citations breakdown →
8.
Stevenson, M., Robin Winter, & Bernard Widrow. (1990). Sensitivity of feedforward neural networks to weight errors. IEEE Transactions on Neural Networks. 1(1). 71–80. 158 indexed citations
9.
Widrow, Bernard & Robin Winter. (1988). Neural nets for adaptive filtering and adaptive pattern recognition. Computer. 21(3). 25–39. 307 indexed citations
10.
Widrow, Bernard, Robin Winter, & Rohan A. Baxter. (1988). Layered neural nets for pattern recognition. IEEE Transactions on Acoustics Speech and Signal Processing. 36(7). 1109–1118. 256 indexed citations

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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