Thorsten Wagener

2001–2024 年に発表

59
論文数
23,583
被引用数
55
h 指数
59
i10 指数

被引用数

Thorsten Wagener の年別被引用数2003 年: 被引用 3 件2004 年: 被引用 5 件2005 年: 被引用 19 件2006 年: 被引用 19 件2007 年: 被引用 45 件2008 年: 被引用 57 件2009 年: 被引用 57 件2010 年: 被引用 73 件2011 年: 被引用 110 件2012 年: 被引用 86 件2013 年: 被引用 119 件2014 年: 被引用 121 件2015 年: 被引用 138 件2016 年: 被引用 155 件2017 年: 被引用 137 件2018 年: 被引用 168 件2019 年: 被引用 233 件2020 年: 被引用 288 件2021 年: 被引用 219 件2022 年: 被引用 160 件2023 年: 被引用 140 件2024 年: 被引用 176 件2025 年: 被引用 166 件2026 年: 被引用 60 件2027 年: 被引用 1 件

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 691 件、この内訳の 20.8%中国: 引用元論文 314 件、この内訳の 9.5%イギリス: 引用元論文 265 件、この内訳の 8%オーストラリア: 引用元論文 209 件、この内訳の 6.3%ドイツ: 引用元論文 190 件、この内訳の 5.7%オランダ: 引用元論文 181 件、この内訳の 5.5%カナダ: 引用元論文 146 件、この内訳の 4.4%イタリア: 引用元論文 132 件、この内訳の 4%フランス: 引用元論文 108 件、この内訳の 3.3%スイス: 引用元論文 95 件、この内訳の 2.9%スウェーデン: 引用元論文 70 件、この内訳の 2.1%オーストリア: 引用元論文 69 件、この内訳の 2.1%
0%20.8%その他 25.4%

分野

  • Environmental Science51.7%
  • Decision Sciences10.4%
  • Engineering9.9%
  • Computer Science9.6%
  • Earth and Planetary Sciences7.1%
  • Agricultural and Biological Sciences2.6%
  • その他8.7%

トピック

  • Hydrology and Watershed Management Studies13.8%
  • Flood Risk Assessment and Management7.4%
  • Hydrological Forecasting Using AI4.4%
  • Hydrology and Drought Analysis3.6%
  • Probabilistic and Robust Engineering Design2.9%
  • Water resources management and optimization2.7%
  • その他65.2%

共著者

全論文

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  1. Sensitivity analysis of environmental models: A systematic review with practical workflow

    著者: , , , , , , - Environmental Modelling & Software, Environ. Model. Softw. 2016 被引用: 1,631

  2. A simple and efficient method for global sensitivity analysis based on cumulative distribution functions

    著者: , - Environmental Modelling & Software, Environ. Model. Softw. 2015 被引用: 518

  3. A process‐based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

    著者: , , - Water Resources Research 2008 被引用: 694

  4. A Matlab toolbox for Global Sensitivity Analysis

    著者: , , - Environmental Modelling & Software, Environ. Model. Softw. 2015 被引用: 664

  5. A decade of Predictions in Ungauged Basins (PUB)—a review

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , - Hydrological Sciences Journal 2013 被引用: 1,328

  6. Distribution-based sensitivity analysis from a generic input-output sample

    著者: , - Environmental Modelling & Software, Environ. Model. Softw. 2018 被引用: 168

  7. The challenge of unprecedented floods and droughts in risk management

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Frédéric Frappart, Jim Freer, Н. Л. Фролова, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego Alejandro Guzmán Arias, Laurie S. Huning, Monica Ioniță, Maxim Kharlamov, Đào Nguyên Khôi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado‐Casimiro, Hong‐Yi Li, María Carmen Llasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejía, Eduardo Mário Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo‐Duc, Thi Thao Nguyen Huynh, Pham Thi Thao Nhi, Olga Petrucci, Hồng Quân Nguyễn, Pere Quintana‐Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md. Shibly Sadik, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, M.H.J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano‐Bigiarini, Günter Blöschl, Giuliano Di Baldassarre - Nature 2022 被引用: 502

  8. Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model

    著者: , , , , , , - Environmental Modelling & Software, Environ. Model. Softw. 2017 被引用: 197

  9. Karst water resources in a changing world: Review of hydrological modeling approaches

    著者: , , , , - Reviews of Geophysics 2014 被引用: 1,030

  10. Drought in the Anthropocene

    著者: , , , , , , , , , , , , , , , , , - Nature Geoscience 2016 被引用: 836

  11. Global Sensitivity Analysis of environmental models: Convergence and validation

    著者: , , - Environmental Modelling & Software, Environ. Model. Softw. 2016 被引用: 388

  12. Ten guidelines for effective data visualization in scientific publications

    著者: , - Environmental Modelling & Software, Environ. Model. Softw. 2011 被引用: 186

  13. Reconciling theory with observations: elements of a diagnostic approach to model evaluation

    著者: , , - Hydrological Processes 2008 被引用: 690

  14. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

    著者: , , , , , , , , , , , - Earth system science data 2020 被引用: 277

  15. How climate change and unplanned urban sprawl bring more landslides

    著者: , , , , , - Nature 2022 被引用: 201

  16. Hillslope Hydrology in Global Change Research and Earth System Modeling

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Binayak P. Mohanty, Bart Nijssen, Mohammad Safeeq, Chaopeng Shen, Willem van Verseveld, John Volk, Dai Yamazaki - Water Resources Research 2019 被引用: 658

  17. Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation

    著者: , , , - Hydrology and earth system sciences 2007 被引用: 412

  18. Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management

    著者: , , , - Environmental Modelling & Software, Environ. Model. Softw. 2008 被引用: 398

  19. Most computational hydrology is not reproducible, so is it really science?

    著者: , , , , , - Water Resources Research 2016 被引用: 247

  20. Illuminating water cycle modifications and Earth system resilience in the Anthropocene

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , - Water Resources Research 2020 被引用: 225

  21. “Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hilary McMillan, Gregory W. Characklis, Zhonghe Pang, V. R. Belyaev - Hydrological Sciences Journal 2013 被引用: 803

  22. Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

    著者: , , , , , , , - Water Resources Research 2008 被引用: 683

  23. Drought in a human-modified world: reframing drought definitions,understanding, and analysis approaches

    著者: , , , , , , , , , , , , , , , , , - Hydrology and earth system sciences 2016 被引用: 498

  24. Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models

    著者: , , , - Hydrology and earth system sciences 2013 被引用: 225