Thomas Grabs

3.2k total citations
52 papers, 2.4k citations indexed

About

Thomas Grabs is a scholar working on Water Science and Technology, Environmental Chemistry and Ecology. According to data from OpenAlex, Thomas Grabs has authored 52 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Water Science and Technology, 22 papers in Environmental Chemistry and 18 papers in Ecology. Recurrent topics in Thomas Grabs's work include Hydrology and Watershed Management Studies (38 papers), Soil and Water Nutrient Dynamics (22 papers) and Hydrology and Drought Analysis (11 papers). Thomas Grabs is often cited by papers focused on Hydrology and Watershed Management Studies (38 papers), Soil and Water Nutrient Dynamics (22 papers) and Hydrology and Drought Analysis (11 papers). Thomas Grabs collaborates with scholars based in Sweden, Switzerland and United States. Thomas Grabs's co-authors include Kevin Bishop, Hjalmar Laudon, Jan Seibert, Stephan Köhler, Ishi Buffam, Claudia Teutschbein, Anneli Ågren, Reinert Huseby Karlsen, Steve W. Lyon and Mats Jansson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Thomas Grabs

50 papers receiving 2.3k 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 Grabs Sweden 25 1.3k 890 772 697 479 52 2.4k
Stephen D. Sebestyen United States 29 906 0.7× 1.2k 1.3× 552 0.7× 1.3k 1.9× 558 1.2× 93 3.0k
Sabine Sauvage France 34 2.0k 1.5× 1.0k 1.2× 925 1.2× 847 1.2× 299 0.6× 140 3.3k
Brent T. Aulenbach United States 23 1.7k 1.3× 1.4k 1.6× 484 0.6× 568 0.8× 288 0.6× 47 3.0k
Sarah E. Godsey United States 25 1.6k 1.2× 849 1.0× 744 1.0× 558 0.8× 890 1.9× 56 2.9k
Shuiwang Duan United States 28 799 0.6× 962 1.1× 391 0.5× 711 1.0× 400 0.8× 54 2.6k
Edward G. Stets United States 28 948 0.7× 1.2k 1.4× 614 0.8× 756 1.1× 339 0.7× 53 2.8k
Nicholas Howden United Kingdom 33 2.0k 1.5× 1.6k 1.7× 782 1.0× 595 0.9× 267 0.6× 101 3.4k
Lishan Ran China 29 923 0.7× 542 0.6× 877 1.1× 790 1.1× 396 0.8× 88 2.6k
M. F. Billett United Kingdom 31 905 0.7× 1.5k 1.6× 688 0.9× 1.5k 2.2× 589 1.2× 58 3.2k
Henry F. Wilson Canada 27 1.0k 0.8× 1.4k 1.6× 409 0.5× 895 1.3× 372 0.8× 64 3.1k

Countries citing papers authored by Thomas Grabs

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Grabs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Grabs

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Grabs. A scholar is included among the top collaborators of Thomas Grabs 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 Grabs. Thomas Grabs 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.
Bishop, Kevin, Ali Ameli, Thomas Grabs, et al.. (2024). Identifying Subsurface Connectivity From Observations: Experimentation With Equifinality Defines Both Challenges and Pathways to Progress. Hydrological Processes. 38(11). 2 indexed citations
2.
Todorović, Andrijana, et al.. (2024). An introduction to data-driven modelling of the water-energy-food-ecosystem nexus. Environmental Modelling & Software. 181. 106182–106182. 6 indexed citations
4.
Blicharska, Małgorzata, et al.. (2023). Droughts in forested ecoregions in cold and continental climates: A review of vulnerability concepts and factors in socio‐hydrological systems. Wiley Interdisciplinary Reviews Water. 11(2). 1 indexed citations
5.
Teutschbein, Claudia, et al.. (2022). Streamflow droughts in Sweden: Spatiotemporal patterns emerging from six decades of observations. Journal of Hydrology Regional Studies. 42. 101171–101171. 28 indexed citations
6.
Haerter, Jan O., et al.. (2022). Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate. The Science of The Total Environment. 853. 158615–158615. 16 indexed citations
8.
Teutschbein, Claudia, et al.. (2017). An ensemble approach to assess the effects of climate change on riverine inorganic nitrogen loading in Sweden. EGUGA. 264. 1 indexed citations
9.
Teutschbein, Claudia, Ryan A. Sponseller, Thomas Grabs, et al.. (2017). Future Riverine Inorganic Nitrogen Load to the Baltic Sea From Sweden: An Ensemble Approach to Assessing Climate Change Effects. Global Biogeochemical Cycles. 31(11). 1674–1701. 18 indexed citations
10.
Ameli, Ali, Thomas Grabs, Hjalmar Laudon, et al.. (2016). Hillslope permeability architecture controls on subsurface transit time distribution and flow paths. Journal of Hydrology. 543. 17–30. 54 indexed citations
11.
Ledesma, José L. J., Thomas Grabs, Martyn N. Futter, et al.. (2013). Riparian zone control on base cation concentration in boreal streams. Biogeosciences. 10(6). 3849–3868. 54 indexed citations
12.
Ledesma, José L. J., Thomas Grabs, Martyn N. Futter, et al.. (2013). Riparian zone controls on base cation concentrations in boreal streams. 3 indexed citations
13.
Grabs, Thomas, Kevin Bishop, Hjalmar Laudon, Steve W. Lyon, & Jan Seibert. (2012). Riparian zone processes and soil water total organic carbon (TOC): implications for spatial variability, upscaling and carbon exports. 1 indexed citations
14.
Grabs, Thomas, Kevin Bishop, Hjalmar Laudon, Steve W. Lyon, & Jan Seibert. (2012). Riparian zone hydrology and soil water total organic carbon (TOC): implications for spatial variability and upscaling of lateral riparian TOC exports. Biogeosciences. 9(10). 3901–3916. 129 indexed citations
15.
Kean, Jason W., et al.. (2012). Modelling rating curves using remotely sensed LiDAR data. Hydrological Processes. 26(9). 1427–1434. 28 indexed citations
16.
Lyon, Steve W., et al.. (2010). Modeling rating curves using remotely-sensed LiDAR data. AGU Fall Meeting Abstracts. 2010. 2 indexed citations
17.
Grabs, Thomas. (2010). Water quality modeling based on landscape analysis: importance of riparian hydrology. KTH Publication Database DiVA (KTH Royal Institute of Technology). 8 indexed citations
18.
Sørensen, Rasmus, Eva Ring, Markus Meili, et al.. (2009). Forest Harvest Increases Runoff Most during Low Flows in Two Boreal Streams. AMBIO. 38(7). 357–363. 58 indexed citations
19.
Seibert, Jan, Thomas Grabs, Stephan Köhler, et al.. (2009). Linking soil- and stream-water chemistry based on a Riparian Flow-Concentration Integration Model. Hydrology and earth system sciences. 13(12). 2287–2297. 215 indexed citations
20.
Seibert, Jan, Thomas Grabs, Stephan Köhler, et al.. (2009). Technical Note: Linking soil – and stream-water chemistry based on a riparian flow-concentration integration model. 7 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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