Petra Schneider

9.0k citations
137 papers · 5.9k indexed · 2 hit papers · h-index 38

Petra Schneider

134 papers receiving 5.7k citations

Hit Papers

Rethinking drug design in the artificial intelligence era4962016202620192022250500750

Peers

Petra Schneider
Comparison fields: 5 of 172
  • Computational Theory and Mathematics 2.6k
  • Pharmacology 996
  • Molecular Biology 3.1k
  • Toxicology 142
  • Organic Chemistry 1.0k
Replace Mingyue Zheng with:
Mingyue Zheng China
Xiaomin Luo China
Andrew J. Doig United Kingdom
Shengyong Yang China
Douglas E. V. Pires Australia
Feng Zhu China
Jianfeng Pei China
Antonio Lavecchia Italy
Alexandre Varnek France
Johannes Kirchmair Austria
Petra Schneider relative to Mingyue Zheng China Mingyue Zheng's profile →
Citations per field
00.5×1.5×1.9×
Mingyue Zheng · 1×
Citations per year

Countries citing papers authored by Petra Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Petra Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Petra Schneider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Petra Schneider Line = papers co-authored together Petra Schneider links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 202444
3 2016119
4 201535
5 201428
6 201475
7
Multivariate class labeling in Robust Soft LVQ
20114
8 201114
9 201133
10 201149
11 201111
12 201166
13 201024
14
Matrix Adaptation in Discriminative Vector Quantization
20081
15
Discriminative visualization by limited rank matrix learning
200813
16 200816
17 200830
18 200890
19 200619
20 200373

About Petra Schneider

Petra Schneider is a scholar working on Computational Theory and Mathematics, Pharmacology and Microbiology, having authored 137 papers that have together received 5.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (66 papers), Chemical Synthesis and Analysis (32 papers), Microbial Natural Products and Biosynthesis (29 papers), Neural Networks and Applications (13 papers), Face and Expression Recognition (10 papers), Synthesis and biological activity (9 papers), Receptor Mechanisms and Signaling (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Computational Theory and Mathematics (2.6k citations), Pharmacology (996 citations) and Molecular Biology (3.1k citations). Petra Schneider has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Gisbert Schneider, Tiago Rodrigues, Daniel Reker, Michael Biehl, Barbara Hammer, Michael Reutlinger, Yusuf Tanrıkulu, Steffen Renner, Alex T. Müller and Jens A. Fuchs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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