K. Schlef

481 total citations
9 papers, 336 citations indexed

About

K. Schlef is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, K. Schlef has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 4 papers in Water Science and Technology and 2 papers in Ocean Engineering. Recurrent topics in K. Schlef's work include Flood Risk Assessment and Management (7 papers), Hydrology and Drought Analysis (5 papers) and Hydrology and Watershed Management Studies (4 papers). K. Schlef is often cited by papers focused on Flood Risk Assessment and Management (7 papers), Hydrology and Drought Analysis (5 papers) and Hydrology and Watershed Management Studies (4 papers). K. Schlef collaborates with scholars based in United States and Burkina Faso. K. Schlef's co-authors include Casey Brown, Baptiste François, Sungwook Wi, Upmanu Lall, Hamid Moradkhani, Andrew W. Robertson, Eugene Yan, Yonas Demissie, Harouna Karambiri and Anna Wagner and has published in prestigious journals such as Scientific Reports, Water Resources Research and Journal of Hydrology.

In The Last Decade

K. Schlef

9 papers receiving 332 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. Schlef United States 8 289 172 102 34 28 9 336
Christian Dobler Austria 7 290 1.0× 246 1.4× 104 1.0× 18 0.5× 40 1.4× 7 332
Marc Girons Lopez Sweden 9 249 0.9× 174 1.0× 139 1.4× 28 0.8× 64 2.3× 15 353
Declan O’Shea Australia 5 192 0.7× 125 0.7× 62 0.6× 20 0.6× 35 1.3× 8 238
Martina Kauzlaric Switzerland 9 140 0.5× 177 1.0× 94 0.9× 37 1.1× 50 1.8× 19 269
Do Thi Chinh Germany 4 202 0.7× 73 0.4× 74 0.7× 17 0.5× 23 0.8× 4 216
Parthkumar Modi United States 6 241 0.8× 132 0.8× 79 0.8× 16 0.5× 48 1.7× 12 283
Marlies H. Barendrecht Netherlands 7 228 0.8× 101 0.6× 57 0.6× 47 1.4× 19 0.7× 16 283
Timo Kelder United Kingdom 9 324 1.1× 138 0.8× 156 1.5× 10 0.3× 35 1.3× 11 384
Cameron Bracken United States 8 276 1.0× 143 0.8× 125 1.2× 32 0.9× 46 1.6× 20 341
J. S. Nanditha India 8 281 1.0× 123 0.7× 109 1.1× 11 0.3× 55 2.0× 14 333

Countries citing papers authored by K. Schlef

Since Specialization
Citations

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

Fields of papers citing papers by K. Schlef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Schlef

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

All Works

9 of 9 papers shown
1.
Schlef, K., Kenneth E. Kunkel, Casey Brown, et al.. (2022). Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves. Journal of Hydrology. 616. 128757–128757. 61 indexed citations
2.
Schlef, K.. (2021). Flood Risk Assessment, Management and Perceptions in a Changing World. Scholarworks (University of Massachusetts Amherst). 1 indexed citations
3.
Schlef, K., Baptiste François, & Casey Brown. (2020). Comparing Flood Projection Approaches Across Hydro‐Climatologically Diverse United States River Basins. Water Resources Research. 57(1). 12 indexed citations
4.
Schlef, K., Hamid Moradkhani, & Upmanu Lall. (2019). Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning. Scientific Reports. 9(1). 7171–7171. 53 indexed citations
5.
François, Baptiste, K. Schlef, Sungwook Wi, & Casey Brown. (2019). Design considerations for riverine floods in a changing climate – A review. Journal of Hydrology. 574. 557–573. 110 indexed citations
6.
Schlef, K., Baptiste François, Andrew W. Robertson, & Casey Brown. (2018). A General Methodology for Climate‐Informed Approaches to Long‐Term Flood Projection—Illustrated With the Ohio River Basin. Water Resources Research. 54(11). 9321–9341. 36 indexed citations
7.
Schlef, K., et al.. (2018). Relating perceptions of flood risk and coping ability to mitigation behavior in West Africa: Case study of Burkina Faso. Environmental Science & Policy. 89. 254–265. 27 indexed citations
8.
Ray, Patrick, et al.. (2018). Growth of the Decision Tree: Advances in Bottom‐Up Climate Change Risk Management. JAWRA Journal of the American Water Resources Association. 55(4). 920–937. 20 indexed citations
9.
Schlef, K., Scott Steinschneider, & Casey Brown. (2017). Spatiotemporal Impacts of Climate and Demand on Water Supply in the Apalachicola-Chattahoochee-Flint Basin. Journal of Water Resources Planning and Management. 144(2). 16 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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