Thomas Wöhling

3.7k total citations
77 papers, 1.8k citations indexed

About

Thomas Wöhling is a scholar working on Environmental Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Thomas Wöhling has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Environmental Engineering, 39 papers in Water Science and Technology and 25 papers in Civil and Structural Engineering. Recurrent topics in Thomas Wöhling's work include Groundwater flow and contamination studies (42 papers), Hydrology and Watershed Management Studies (38 papers) and Soil and Unsaturated Flow (23 papers). Thomas Wöhling is often cited by papers focused on Groundwater flow and contamination studies (42 papers), Hydrology and Watershed Management Studies (38 papers) and Soil and Unsaturated Flow (23 papers). Thomas Wöhling collaborates with scholars based in Germany, New Zealand and United States. Thomas Wöhling's co-authors include Jasper A. Vrugt, Wolfgang Nowak, Anneli Guthke, Greg Barkle, Luis Samaniego, Gerd Schmitz, Philip H. Stauffer, Velimir V. Vesselinov, Bruce A. Robinson and Marvin Höge and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Thomas Wöhling

75 papers receiving 1.7k 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 Wöhling Germany 24 1.0k 786 608 422 254 77 1.8k
Sorab Panday United States 21 1.4k 1.4× 1.1k 1.3× 508 0.8× 378 0.9× 408 1.6× 51 2.2k
Boris Faybishenko United States 26 1.0k 1.0× 452 0.6× 401 0.7× 381 0.9× 232 0.9× 93 1.9k
Liangsheng Shi China 29 1.1k 1.1× 572 0.7× 634 1.0× 443 1.0× 245 1.0× 121 2.2k
Matteo Camporese Italy 25 950 0.9× 1.2k 1.6× 415 0.7× 768 1.8× 282 1.1× 62 2.2k
Todd C. Rasmussen United States 21 1.0k 1.0× 546 0.7× 214 0.4× 452 1.1× 155 0.6× 75 1.7k
Yiping Guo Canada 26 1.4k 1.4× 727 0.9× 497 0.8× 1.2k 2.9× 156 0.6× 130 2.3k
Mohamed M. Hantush United States 23 661 0.6× 1.1k 1.4× 185 0.3× 499 1.2× 284 1.1× 65 1.6k
Yonggen Zhang China 20 1.0k 1.0× 423 0.5× 836 1.4× 415 1.0× 80 0.3× 54 1.8k
M. S. Mohan Kumar India 23 654 0.6× 388 0.5× 394 0.6× 208 0.5× 280 1.1× 81 1.6k
Antonis D. Koussis Greece 24 830 0.8× 764 1.0× 325 0.5× 489 1.2× 207 0.8× 90 1.6k

Countries citing papers authored by Thomas Wöhling

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Wöhling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Wöhling

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wöhling. A scholar is included among the top collaborators of Thomas Wöhling 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 Wöhling. Thomas Wöhling 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.
Gonçalves, Wesley Nunes, et al.. (2025). Measuring water ponding time, location and connectivity on soil surfaces using time-lapse images and deep learning. CATENA. 254. 108919–108919. 1 indexed citations
2.
Wilson, Scott R., Richard Measures, Leanne K. Morgan, et al.. (2024). Conceptualising surface water–groundwater exchange in braided river systems. Hydrology and earth system sciences. 28(12). 2721–2743. 6 indexed citations
3.
Wöhling, Thomas, et al.. (2024). Extending GLUE With Multilevel Methods to Accelerate Statistical Inversion of Hydrological Models. Water Resources Research. 60(10). 1 indexed citations
4.
Wilson, Scott R., et al.. (2024). Model simplification to simulate groundwater recharge from a perched gravel-bed river. Journal of Hydrology. 643. 132016–132016. 2 indexed citations
5.
Reimann, Thomas, Thomas Wöhling, Steffen Birk, et al.. (2023). Joint inversion of groundwater flow, heat, and solute state variables: a multipurpose approach for characterization and forecast of karst systems. Hydrogeology Journal. 31(4). 1005–1030. 1 indexed citations
6.
Wilson, Scott R., et al.. (2023). Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning. Hydrology and earth system sciences. 27(3). 703–722. 8 indexed citations
7.
Collenteur, Raoul, Markus Giese, Thomas Wöhling, et al.. (2023). A data-driven approach for modelling Karst spring discharge using transfer function noise models. Environmental Earth Sciences. 82(13). 339–339. 6 indexed citations
8.
Guthke, Anneli, et al.. (2023). Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model. Journal of Hydrology. 626. 130323–130323. 5 indexed citations
9.
10.
Wöhling, Thomas, et al.. (2020). Eigenmodels to forecast groundwater levels in unconfined river-fed aquifers during flow recession. The Science of The Total Environment. 747. 141220–141220. 7 indexed citations
11.
Nowak, Wolfgang, et al.. (2018). Explicit treatment for Dirichlet, Neumann and Cauchy boundary conditions in POD-based reduction of groundwater models. Advances in Water Resources. 115. 160–171. 21 indexed citations
12.
Wöhling, Thomas, et al.. (2016). Using an integrated hydrological model to estimate the usefulness ofmeteorological drought indices in a changing climate. Hydrology and earth system sciences. 20(10). 4159–4175. 6 indexed citations
13.
González‐Pinzón, Ricardo, et al.. (2014). Sorption and transformation of the reactive tracers resazurin and resorufin in natural river sediments. Hydrology and earth system sciences. 18(8). 3151–3163. 21 indexed citations
14.
Caldwell, Todd G., Thomas Wöhling, Michael H. Young, Douglas P. Boyle, & Eric V. McDonald. (2013). Characterizing Disturbed Desert Soils Using Multiobjective Parameter Optimization. Vadose Zone Journal. 12(1). 1–23. 14 indexed citations
15.
Barkle, Greg, Thomas Wöhling, & Roland Stenger. (2013). Variability of unsaturated Bromide fluxes as measured through a layered volcanic vadose zone in New Zealand. Hydrological Processes. 28(25). 6080–6097. 5 indexed citations
16.
Köhne, John Maximilian, Thomas Wöhling, Valérie Pot, et al.. (2011). Coupled simulation of surface runoff and soil water flow using multi-objective parameter estimation. Journal of Hydrology. 403(1-2). 141–156. 27 indexed citations
17.
Wöhling, Thomas. (2009). Does vadose zone flow forecasting depend on the type of calibration data. Lincoln University Research Archive (Lincoln University). 1 indexed citations
18.
Stenger, Roland, Thomas Wöhling, Greg Barkle, & Aaron M. Wall. (2007). Relationship between dielectric permittivity and water content for vadose zone materials of volcanic origin. Soil Research. 45(4). 299–309. 10 indexed citations
19.
Wöhling, Thomas, et al.. (2006). Technical Note: Updating procedure for flood forecasting with conceptual HBV-type models. Hydrology and earth system sciences. 10(6). 783–788. 32 indexed citations
20.
Wöhling, Thomas, Gerd Schmitz, & J.C. Mailhol. (2004). Modeling Two-Dimensional Infiltration from Irrigation Furrows. Journal of Irrigation and Drainage Engineering. 130(4). 296–303. 12 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sorab Panday Breakdown of academic impact, for papers by Boris Faybishenko Breakdown of academic impact, for papers by Liangsheng Shi Breakdown of academic impact, for papers by Matteo Camporese Breakdown of academic impact, for papers by Todd C. Rasmussen Breakdown of academic impact, for papers by Yiping Guo Breakdown of academic impact, for papers by Mohamed M. Hantush Breakdown of academic impact, for papers by Yonggen Zhang Breakdown of academic impact, for papers by M. S. Mohan Kumar Breakdown of academic impact, for papers by Antonis D. Koussis
Rankless by CCL
2026