Eva Gottmann
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts 1
- Heavy metals in environment 1
-
- Carcinogens and Genotoxicity Assessment 4
-
- Computational Drug Discovery Methods 6
-
- Analytical Chemistry and Chromatography 4
-
- Metabolomics and Mass Spectrometry Studies 3
-
- Statistical and Computational Modeling 2
-
- Pharmacogenetics and Drug Metabolism 1
- Co-authors
- Christoph HelmaSiegfried KnasmüllerHans SteinkellnerBernhard PfahringerAnette FominMichael KundiAlbrecht PaschkeChristina Pickl
In The Last Decade
Eva Gottmann
9 papers receiving 338 citations
Peers
Comparison fields: 5 of 80
- Pollution 105
- Health, Toxicology and Mutagenesis 118
- Chemical Health and Safety 5
- Cancer Research 109
- Computational Theory and Mathematics 69
Countries citing papers authored by Eva Gottmann
This map shows the geographic impact of Eva Gottmann'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 Eva Gottmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gottmann more than expected).
Fields of papers citing papers by Eva Gottmann
This network shows the impact of papers produced by Eva Gottmann. 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 Eva Gottmann. The network helps show where Eva Gottmann may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Eva Gottmann, 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 | 2001 | 79 | |
| 2 | 2001 | 5 | |
| 3 | 2000 | 14 | |
| 4 | 2000 | 32 | |
| 5 | 2000 | 1 | |
| 6 | Data Quality Issues in Toxicological Knowledge Discovery | 1999 | 2 |
| 7 | 1998 | 185 | |
| 8 | 1998 | 35 | |
| 9 | Investigations on genotoxic effects of groundwater from the Mitterndorfer Senke and from the vicinity of Wiener Neustadt. | 1998 | 9 |
About Eva Gottmann
Eva Gottmann is a scholar working on Computational Theory and Mathematics, Cancer Research, Spectroscopy, Pollution and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 362 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Statistical and Computational Modeling (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Heavy metals in environment (1 paper). The work is most often cited by research in Pollution (105 citations), Health, Toxicology and Mutagenesis (118 citations), Chemical Health and Safety (5 citations), Cancer Research (109 citations) and Computational Theory and Mathematics (69 citations). Eva Gottmann has collaborated with scholars based in Austria and Germany. Frequent co-authors include Christoph Helma, Siegfried Knasmüller, Hans Steinkellner, Bernhard Pfahringer, Anette Fomin, Michael Kundi, Albrecht Paschke, Christina Pickl, Stefan Krämer and Stefan Krämer. Their work appears in journals such as Environmental Health Perspectives, Statistical Methods in Medical Research, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Environmental Science & Technology and PubMed.
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.