Ann Kretzschmar

643 total citations
19 papers, 453 citations indexed

About

Ann Kretzschmar is a scholar working on Water Science and Technology, Global and Planetary Change and Soil Science. According to data from OpenAlex, Ann Kretzschmar has authored 19 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 7 papers in Soil Science. Recurrent topics in Ann Kretzschmar's work include Hydrology and Watershed Management Studies (11 papers), Flood Risk Assessment and Management (6 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Ann Kretzschmar is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Flood Risk Assessment and Management (6 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Ann Kretzschmar collaborates with scholars based in United Kingdom, France and Switzerland. Ann Kretzschmar's co-authors include Yakov Kuzyakov, Karl Stahr, Pascal Monestiez, O. Daniel, Yvan Capowiez, Nick A. Chappell, Alain Pierret, Keith Beven, Barry Hankin and Trevor Page and has published in prestigious journals such as SHILAP Revista de lepidopterología, Soil Biology and Biochemistry and Plant and Soil.

In The Last Decade

Ann Kretzschmar

18 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Kretzschmar United Kingdom 13 245 141 121 113 104 19 453
Consuelo C. Romero United States 12 242 1.0× 131 0.9× 175 1.4× 104 0.9× 109 1.0× 27 496
Youxin Shen China 15 240 1.0× 156 1.1× 137 1.1× 105 0.9× 54 0.5× 45 663
Zisheng Xing Canada 11 196 0.8× 97 0.7× 172 1.4× 146 1.3× 54 0.5× 24 545
Alain Casenave France 8 347 1.4× 111 0.8× 164 1.4× 87 0.8× 179 1.7× 19 549
An Van den Putte Belgium 11 445 1.8× 169 1.2× 74 0.6× 39 0.3× 148 1.4× 16 635
Susian Christian Martins Brazil 9 238 1.0× 126 0.9× 107 0.9× 93 0.8× 28 0.3× 10 474
Abel Lufafa United States 10 313 1.3× 122 0.9× 170 1.4× 76 0.7× 104 1.0× 13 592
Xueyong Zhao China 12 350 1.4× 188 1.3× 157 1.3× 71 0.6× 32 0.3× 20 625
Dexin Gao China 11 352 1.4× 247 1.8× 203 1.7× 73 0.6× 54 0.5× 17 636
Rashid Rafique United States 12 229 0.9× 167 1.2× 174 1.4× 46 0.4× 35 0.3× 16 464

Countries citing papers authored by Ann Kretzschmar

Since Specialization
Citations

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

Fields of papers citing papers by Ann Kretzschmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Kretzschmar

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

All Works

19 of 19 papers shown
1.
Beven, Keith, Trevor Page, Paul J. Smith, et al.. (2024). UPH Problem 20 – reducing uncertainty in model prediction: a model invalidation approach based on a Turing-like test. SHILAP Revista de lepidopterología. 385. 129–134. 2 indexed citations
2.
Beven, Keith, Stuart N. Lane, Trevor Page, et al.. (2022). On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes. Hydrological Processes. 36(10). 14 indexed citations
3.
Beven, Keith, Trevor Page, Barry Hankin, et al.. (2022). Deciding on fitness‐for‐purpose‐of models and of natural flood management. Hydrological Processes. 36(11). 14 indexed citations
4.
5.
Hankin, Barry, Trevor Page, Nick A. Chappell, et al.. (2021). Using micro‐catchment experiments for multi‐local scale modelling of nature‐based solutions. Hydrological Processes. 35(11). 12 indexed citations
6.
Hankin, Barry, Ian Hewitt, Graham Sander, et al.. (2020). A risk-based network analysis of distributed in-stream leaky barriers for flood risk management. Natural hazards and earth system sciences. 20(10). 2567–2584. 21 indexed citations
7.
Page, Trevor, Nick A. Chappell, Keith Beven, Barry Hankin, & Ann Kretzschmar. (2020). Assessing the significance of wet‐canopy evaporation from forests during extreme rainfall events for flood mitigation in mountainous regions of theUnited Kingdom. Hydrological Processes. 34(24). 4740–4754. 27 indexed citations
8.
Smith, Paul J., Keith Beven, Ann Kretzschmar, & Nick A. Chappell. (2020). Developing and documenting a Hydrological Model for reproducible research: A new version of Dynamic TOPMODEL. 1 indexed citations
9.
Hankin, Barry, Ann Kretzschmar, Trevor Page, et al.. (2019). Efficient cascade modelling of nature-based solutions scaled to larger catchments to model extremes taking account of uncertainties. Lancaster EPrints (Lancaster University). 1024. 1 indexed citations
10.
Kretzschmar, Ann, Włodek Tych, Nick A. Chappell, & Keith Beven. (2016). What Really Happens at the End of the Rainbow? – Paying the Price for Reducing Uncertainty (Using Reverse Hydrology Models). Procedia Engineering. 154. 1333–1340. 4 indexed citations
11.
Kretzschmar, Ann, Włodek Tych, Nick A. Chappell, & Keith Beven. (2015). Reversing hydrology: quantifying the temporal aggregation effect of catchment rainfall estimation using sub-hourly data. Hydrology research. 47(3). 630–645. 4 indexed citations
12.
Kretzschmar, Ann, Włodek Tych, & Nick A. Chappell. (2014). Reversing hydrology: Estimation of sub-hourly rainfall time-series from streamflow. Environmental Modelling & Software. 60. 290–301. 14 indexed citations
13.
Kuzyakov, Yakov, Ann Kretzschmar, & Karl Stahr. (1999). Contribution of Lolium perenne rhizodeposition to carbon turnover of pasture soil. Plant and Soil. 213(1-2). 127–136. 92 indexed citations
14.
Capowiez, Yvan, Alain Pierret, O. Daniel, Pascal Monestiez, & Ann Kretzschmar. (1998). 3D skeleton reconstructions of natural earthworm burrow systems using CAT scan images of soil cores. Biology and Fertility of Soils. 27(1). 51–59. 79 indexed citations
15.
Daniel, O., Ann Kretzschmar, Yvan Capowiez, Lukas Kohli, & Josef Zeyer. (1997). Computer‐assisted tomography of macroporosity and its application to study the activity of the earthworm Aporrectodea nocturna. European Journal of Soil Science. 48(4). 727–737. 33 indexed citations
16.
Kretzschmar, Ann & Pascal Monestiez. (1992). Physical control of soil biological activity due to endogeic earthworm behaviour. Soil Biology and Biochemistry. 24(12). 1609–1614. 14 indexed citations
17.
Kretzschmar, Ann, et al.. (1991). Weight response to the soil water potential of the earthworm Aporrectodea longa. Biology and Fertility of Soils. 12(3). 209–212. 34 indexed citations
18.
Kretzschmar, Ann. (1991). Burrowing ability of the earthworm Aporrectodea longa limited by soil compaction and water potential. Biology and Fertility of Soils. 11(1). 48–51. 71 indexed citations
19.

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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