Thomas Gräff

833 total citations
23 papers, 641 citations indexed

About

Thomas Gräff is a scholar working on Water Science and Technology, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Thomas Gräff has authored 23 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 9 papers in Environmental Engineering and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Thomas Gräff's work include Hydrology and Watershed Management Studies (9 papers), Groundwater flow and contamination studies (6 papers) and Flood Risk Assessment and Management (4 papers). Thomas Gräff is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Groundwater flow and contamination studies (6 papers) and Flood Risk Assessment and Management (4 papers). Thomas Gräff collaborates with scholars based in Germany, United States and Australia. Thomas Gräff's co-authors include Johan Alexander Huisman, Helge Bormann, Lutz Breuer, Barry Croke, L. Hubrechts, Dennis P. Lettenmaier, Murugesu Sivapalan, Anthony J. Jakeman, Jan Seibert and Neil R. Viney and has published in prestigious journals such as The Science of The Total Environment, Marine Pollution Bulletin and Environmental Science and Pollution Research.

In The Last Decade

Thomas Gräff

20 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Gräff Germany 11 476 417 146 99 88 23 641
Bhumika Uniyal Germany 12 399 0.8× 307 0.7× 196 1.3× 95 1.0× 51 0.6× 20 535
Daniel Niehoff Germany 5 633 1.3× 604 1.4× 180 1.2× 159 1.6× 108 1.2× 7 787
A. H. Matonse United States 13 479 1.0× 467 1.1× 114 0.8× 78 0.8× 218 2.5× 17 717
Olkeba Tolessa Leta United States 15 453 1.0× 359 0.9× 189 1.3× 114 1.2× 79 0.9× 33 628
Tadashi Suetsugi Japan 11 426 0.9× 334 0.8× 214 1.5× 138 1.4× 86 1.0× 42 605
Andy Young United Kingdom 11 716 1.5× 521 1.2× 186 1.3× 118 1.2× 69 0.8× 18 855
Sophie Bachmair Germany 11 437 0.9× 800 1.9× 199 1.4× 122 1.2× 138 1.6× 18 1.1k
Jatin Anand India 7 340 0.7× 344 0.8× 167 1.1× 70 0.7× 68 0.8× 10 506
Jung‐Hun Song South Korea 15 367 0.8× 239 0.6× 127 0.9× 106 1.1× 106 1.2× 71 588
David G. Lounsbury United States 7 314 0.7× 279 0.7× 80 0.5× 72 0.7× 101 1.1× 7 482

Countries citing papers authored by Thomas Gräff

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gräff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Gräff

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

All Works

20 of 20 papers shown
1.
Daniels, Benjamin, et al.. (2025). High time to update statistical guidance in ecotoxicology—a workshop synthesis on the revision of OECD document no. 54. Integrated Environmental Assessment and Management.
2.
Gräff, Thomas, et al.. (2025). Tracing PCB contamination in fish using shadow profiles and self-organizing maps. Marine Pollution Bulletin. 220. 118343–118343.
3.
Selle, Benny, et al.. (2024). Analysis and modelling of profiles to understand fractionation processes for contaminations with polychlorinated biphenyls observed in fish. The Science of The Total Environment. 920. 170925–170925. 1 indexed citations
4.
Treu, Gabriele, Mikkel‐Holger S. Sinding, Gábor Á. Czirják, et al.. (2022). An assessment of mercury and its dietary drivers in fur of Arctic wolves from Greenland and High Arctic Canada. The Science of The Total Environment. 838(Pt 2). 156171–156171. 7 indexed citations
5.
Ohe, Peter C. von der, Thomas Gräff, Ute Kühnen, et al.. (2021). Heart rate as an early warning parameter and proxy for subsequent mortality in Danio rerio embryos exposed to ionisable substances. The Science of The Total Environment. 818. 151744–151744. 10 indexed citations
6.
Schaik, Loes van, et al.. (2020). Simulating future salinity dynamics in a coastal marshland under different climate scenarios. Vadose Zone Journal. 19(1). 3 indexed citations
7.
Duquesne, Sabine, Thomas Gräff, Tobias Frische, et al.. (2020). Better define beta–optimizing MDD (minimum detectable difference) when interpreting treatment-related effects of pesticides in semi-field and field studies. Environmental Science and Pollution Research. 27(8). 8814–8821. 11 indexed citations
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Selle, Benny, et al.. (2016). Understanding salt dynamics for a restored coastal wetland at the Baltic Sea in Germany. EGU General Assembly Conference Abstracts. 1 indexed citations
12.
Gräff, Thomas, et al.. (2016). Reforming Western Water Policy: Markets and Regulation.
13.
Bormann, Helge, Lutz Breuer, Thomas Gräff, Johan Alexander Huisman, & Barry Croke. (2008). Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) IV: Model sensitivity to data aggregation and spatial (re-)distribution. Advances in Water Resources. 32(2). 171–192. 50 indexed citations
14.
Breuer, Lutz, Johan Alexander Huisman, Patrick Willems, et al.. (2008). Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM). I: Model intercomparison with current land use. Advances in Water Resources. 32(2). 129–146. 185 indexed citations
15.
Bussink, Frank, et al.. (2008). Operational Improvements From In-trail Procedure the in the North Atlantic Organized Track System. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
16.
Viney, Neil R., Helge Bormann, Lutz Breuer, et al.. (2008). Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II: Ensemble combinations and predictions. Advances in Water Resources. 32(2). 147–158. 120 indexed citations
17.
Huisman, Johan Alexander, Lutz Breuer, Helge Bormann, et al.. (2008). Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: Scenario analysis. Advances in Water Resources. 32(2). 159–170. 89 indexed citations
18.
Viney, Neil R., Barry Croke, Lutz Breuer, et al.. (2005). Ensemble modelling of the hydrological impacts of land use change. ANU Open Research (Australian National University). 2967–2973. 10 indexed citations
19.
Elmore, Andrew Curtis & Thomas Gräff. (2002). Best Available Treatment Technologies Applied to Groundwater Circulation Wells. Remediation Journal. 12(3). 63–80. 16 indexed citations
20.
Gräff, Thomas. (1988). The Mono Basin Ecosystem. Effects of Changing Lake Level.. The Quarterly Review of Biology. 63(3). 351–352. 29 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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