Karsten Schulz

6.5k citations
115 papers · 4.1k · 1 hit paper · h-index 32

Impact in

Papers in

Karsten Schulz

113 papers receiving 4.0k citations

Karsten Schulz's Hit Papers

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks 2018 · 1.2k citations
1.2k0+2+5Years since publication2505007501000

Peers

Karsten Schulz
Comparison fields: 5 of 123
  • Water Science and Technology 1.9k
  • Environmental Engineering 1.7k
  • Global and Planetary Change 2.0k
  • Atmospheric Science 1.1k
  • Soil Science 303
Replace Simon Stisen with:
Simon Stisen Denmark
Zheng Duan China
Thomas G. Van Niel Australia
Lucy Marshall Australia
Catherine Ottlé France
Luis Samaniego Germany
Huili Gong China
Jian Peng China
Youhua Ran China
Susan Steele‐Dunne Netherlands
Karsten Schulz relative to Simon Stisen Denmark Simon Stisen's profile →
Citations per field
00.5×1.5×1.9×
Simon Stisen · 1×
Citations per year

Countries citing papers authored by Karsten Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karsten Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karsten Schulz Line = papers co-authored together Karsten Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Hit paper breakdown →
20181183
2 2021188
3 2008152
4 2016124
5 2012114
6 2019111
7 2007105
8 202194
9 201090
10 201483
11 201877
12 202166
13 201264
14 199963
15 201562
16 200660
17 201749
18 200148
19 201646
20 202045

About Karsten Schulz

Karsten Schulz is a scholar working on Water Science and Technology, Global and Planetary Change, Atmospheric Science, Environmental Engineering and Ecology, having authored 115 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (59 papers), Cryospheric studies and observations (32 papers), Flood Risk Assessment and Management (21 papers), Plant Water Relations and Carbon Dynamics (18 papers), Climate change and permafrost (16 papers), Remote Sensing in Agriculture (13 papers), Soil Moisture and Remote Sensing (12 papers) and Hydrological Forecasting Using AI (12 papers). The work is most often cited by research in Water Science and Technology (1.9k citations), Environmental Engineering (1.7k citations), Global and Planetary Change (2.0k citations), Atmospheric Science (1.1k citations) and Soil Science (303 citations). Karsten Schulz has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Mathew Herrnegger, Claire Brenner, Daniel Klotz, Frederik Kratzert, Matthias Bernhardt, Bano Mehdi, Luis Samaniego, Lu Gao, Bernd Huwe and András Bàrdossy. Their work appears in journals such as Hydrology and earth system sciences, Water Resources Research, Remote Sensing, Journal of Hydrology and Journal of Hydrology Regional Studies.

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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