K. E. Lindenschmidt

552 total citations
22 papers, 405 citations indexed

About

K. E. Lindenschmidt is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Chemistry. According to data from OpenAlex, K. E. Lindenschmidt has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 11 papers in Global and Planetary Change and 9 papers in Environmental Chemistry. Recurrent topics in K. E. Lindenschmidt's work include Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (10 papers) and Soil and Water Nutrient Dynamics (8 papers). K. E. Lindenschmidt is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (10 papers) and Soil and Water Nutrient Dynamics (8 papers). K. E. Lindenschmidt collaborates with scholars based in Germany, Canada and China. K. E. Lindenschmidt's co-authors include Axel Bronstert, B. von Kuhlmann, Bruno Merz, Prabin Rokaya, Annegret H. Thieken, T. Petrow, Michael Rode, H. S. Wheater, L. A. Morales-Marín and Shaochun Huang and has published in prestigious journals such as Water Research, Journal of Hydrology and Hydrology and earth system sciences.

In The Last Decade

K. E. Lindenschmidt

22 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. E. Lindenschmidt Germany 11 219 208 111 64 63 22 405
K. Fleischbein Germany 5 195 0.9× 186 0.9× 79 0.7× 60 0.9× 50 0.8× 6 353
Cornelia Hesse Germany 12 275 1.3× 118 0.6× 152 1.4× 31 0.5× 77 1.2× 16 367
S. G. Mengistu Canada 10 191 0.9× 136 0.7× 103 0.9× 59 0.9× 111 1.8× 16 317
David G. Lounsbury United States 7 314 1.4× 279 1.3× 96 0.9× 101 1.6× 56 0.9× 7 482
Zhou Pei China 6 264 1.2× 165 0.8× 92 0.8× 31 0.5× 76 1.2× 12 406
Andrew Eatherall United Kingdom 9 231 1.1× 174 0.8× 121 1.1× 43 0.7× 80 1.3× 13 373
Asmita Murumkar United States 9 163 0.7× 242 1.2× 68 0.6× 83 1.3× 52 0.8× 12 358
Rajendra Paudel United States 14 110 0.5× 153 0.7× 139 1.3× 58 0.9× 168 2.7× 23 378
Stephanie Natho Germany 9 137 0.6× 125 0.6× 90 0.8× 44 0.7× 77 1.2× 17 322
Geying Lai China 10 196 0.9× 143 0.7× 76 0.7× 23 0.4× 122 1.9× 31 324

Countries citing papers authored by K. E. Lindenschmidt

Since Specialization
Citations

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

Fields of papers citing papers by K. E. Lindenschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. E. Lindenschmidt. 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 K. E. Lindenschmidt. The network helps show where K. E. Lindenschmidt may publish in the future.

Co-authorship network of co-authors of K. E. Lindenschmidt

This figure shows the co-authorship network connecting the top 25 collaborators of K. E. Lindenschmidt. A scholar is included among the top collaborators of K. E. Lindenschmidt 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 K. E. Lindenschmidt. K. E. Lindenschmidt 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.
Lindenschmidt, K. E. & Prabin Rokaya. (2019). A Stochastic Hydraulic Modelling Approach to Determining the Probable Maximum Staging of Ice-Jam Floods. Journal of Environmental Informatics. 36 indexed citations
2.
Morales-Marín, L. A., H. S. Wheater, & K. E. Lindenschmidt. (2017). Assessment of nutrient loadings of a large multipurpose prairie reservoir. Journal of Hydrology. 550. 166–185. 34 indexed citations
3.
Chu, Thuan & K. E. Lindenschmidt. (2016). Determining River Ice Displacement Using the Differential Interferometry Synthetic Aperture Radar (D-InSAR) technique. AGUFM. 2016. 1 indexed citations
4.
Doig, Lorne E., et al.. (2016). Phosphorus release from sediments in a river-valley reservoir in the northern Great Plains of North America. Hydrobiologia. 787(1). 323–339. 27 indexed citations
5.
Pomeroy, John W., et al.. (2015). Nutrient Models Developments Using Runoff-Nutrient Relationships in an Agricultural Prairie Basin, Manitoba.. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
6.
Vorogushyn, Sergiy, Heiko Apel, K. E. Lindenschmidt, & Bruno Merz. (2009). Analysis of flood hazard under consideration of dike breaches. Publication Database GFZ (GFZ German Research Centre for Geosciences). 5156. 5 indexed citations
7.
Huang, Shaochun, et al.. (2009). Quantifying structural uncertainty due to discretisation resolution and dimensionality in a hydrodynamic polder model. Journal of Hydroinformatics. 11(1). 19–30. 3 indexed citations
8.
Kuhlmann, B. von, et al.. (2008). Assessing flood risk for a rural detention area. Natural hazards and earth system sciences. 8(2). 311–322. 92 indexed citations
9.
10.
Rönicke, Helmut, et al.. (2008). Phosphorus input by nordic geese to the eutrophic Lake Arendsee, Germany. Fundamental and Applied Limnology / Archiv für Hydrobiologie. 172(2). 111–119. 25 indexed citations
11.
Huang, Shaochun, Jan Rauberg, Heiko Apel, Markus Disse, & K. E. Lindenschmidt. (2007). The effectiveness of polder systems on peak discharge capping of floods along the middle reaches of the Elbe River in Germany. Hydrology and earth system sciences. 11(4). 1391–1401. 34 indexed citations
12.
Petrow, T., Bruno Merz, K. E. Lindenschmidt, & Annegret H. Thieken. (2007). Aspects of seasonality and flood generating circulation patterns in a mountainous catchment in south-eastern Germany. Hydrology and earth system sciences. 11(4). 1455–1468. 53 indexed citations
13.
14.
Thieken, Annegret H., et al.. (2007). Hochwasserrisikoanalysen an der Elbe – Methodenvergleich und Datenauflösung. Österreichische Wasser- und Abfallwirtschaft. 59(11-12). 151–162. 2 indexed citations
15.
Huang, Shaochun, Sergiy Vorogushyn, & K. E. Lindenschmidt. (2007). Quasi 2D hydrodynamic modelling of the flooded hinterland due to dyke breaching on the Elbe River. Advances in geosciences. 11. 21–29. 8 indexed citations
16.
Lindenschmidt, K. E., et al.. (2005). Model system development and uncertainty for the provisionary management of extreme floods in large river basins. Advances in geosciences. 5. 99–104. 4 indexed citations
17.
Lindenschmidt, K. E., Kathrin Poser, & Michael Rode. (2005). Impact of morphological parameters on water quality variables of a regulated lowland river. Water Science & Technology. 52(6). 187–193. 8 indexed citations
18.
Lindenschmidt, K. E., et al.. (2005). Integrating water quality models in the High Level Architecture (HLA) environment. Advances in geosciences. 4. 51–56. 3 indexed citations
19.
Rode, Michael & K. E. Lindenschmidt. (2001). Distributed sediment and phosporus transport modeling on a medium sized catchment in central germany. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 26(7-8). 635–640. 18 indexed citations
20.
Lindenschmidt, K. E., et al.. (1998). Loading of solute and suspended solids from rural catchment areas flowing into Lake Victoria in Uganda. Water Research. 32(9). 2776–2786. 17 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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