Ralf‐Uwe Ebert

37 papers receiving 2.0k citations

Ralf‐Uwe Ebert's Hit Papers

External Validation and Prediction Employing the Predictive Squared Correlation Coefficient — Test Set Activity Mean vs Training Set Activity Mean 2008 · 474 citations
4740+6+12Years since publication100200300400

Peers

Ralf‐Uwe Ebert
Comparison fields: 5 of 132
  • Health, Toxicology and Mutagenesis 678
  • Computational Theory and Mathematics 841
  • Pollution 506
  • Chemical Health and Safety 21
  • Environmental Chemistry 235
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William M. Meylan United States
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Citations per year

Countries citing papers authored by Ralf‐Uwe Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Ralf‐Uwe Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralf‐Uwe Ebert. 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 Ralf‐Uwe Ebert. The network helps show where Ralf‐Uwe Ebert may publish in the future.

Co-authors

The 25 scholars most cited alongside Ralf‐Uwe Ebert, 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 Ralf‐Uwe Ebert Line = papers co-authored together Ralf‐Uwe Ebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
External Validation and Prediction Employing the Predictive Squared Correlation Coefficient — Test Set Activity Mean vs Training Set Activity Mean
Hit paper breakdown →
2008474
2 2011279
3 2005166
4 1995122
5 2006120
6 201172
7 200968
8 200668
9 200549
10 200349
11 200948
12 200945
13 200640
14 200139
15 200839
16 200737
17 201334
18 199734
19 201033
20 200633

About Ralf‐Uwe Ebert

Ralf‐Uwe Ebert is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Spectroscopy, Pollution and Environmental Chemistry, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Analytical Chemistry and Chromatography (10 papers), Free Radicals and Antioxidants (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Environmental Toxicology and Ecotoxicology (7 papers), Chemistry and Chemical Engineering (6 papers), Pesticide and Herbicide Environmental Studies (5 papers) and Advanced Chemical Physics Studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (678 citations), Computational Theory and Mathematics (841 citations), Pollution (506 citations), Chemical Health and Safety (21 citations) and Environmental Chemistry (235 citations). Ralf‐Uwe Ebert has collaborated with scholars based in Germany, Spain and Japan. Frequent co-authors include Gerrit Schüürmann, Ralph Kühne, Jingwen Chen, Bin Wang, Peter Carsten von der Ohe, Johannes A. H. Schwöbel, Werner Brack, Antoni Ginebreda, Jaroslav Slobodnik and Valeria Dulio. Their work appears in journals such as Journal of Chemical Information and Modeling, Environmental Science & Technology, Chemical Research in Toxicology, The Science of The Total Environment and Chemosphere.

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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