Karsten Steinhaeuser

30 papers receiving 1.3k citations

Peers

Karsten Steinhaeuser
Comparison fields: 5 of 135
  • Statistical and Nonlinear Physics 382
  • Global and Planetary Change 470
  • Atmospheric Science 242
  • Ecological Modeling 45
  • Signal Processing 94
Replace Sudip Kumar Saha with:
Sudip Kumar Saha India
Evan Kodra United States
Michele Lovallo Italy
Roberto Interdonato France
Dong Chen China
Dan Cornford United Kingdom
Zhengyuan Zhu United States
Abhirup Datta United States
Matthias Katzfuß United States
Bent Jørgensen Denmark
Karsten Steinhaeuser relative to Sudip Kumar Saha India Sudip Kumar Saha's profile →
Citations per field
00.5×2×3.0×
Sudip Kumar Saha · 1×
Citations per year

Countries citing papers authored by Karsten Steinhaeuser

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Steinhaeuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karsten Steinhaeuser, 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 Steinhaeuser Line = papers co-authored together Karsten Steinhaeuser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2009168
3 2011105
4 2009104
5 2010100
6 200895
7 201257
8 201056
9 200853
10 201247
11 202045
12 200841
13 201437
14 201435
15 201333
16 200930
17 200918
18 201317
19 201417
20 201216

About Karsten Steinhaeuser

Karsten Steinhaeuser is a scholar working on Global and Planetary Change, Statistical and Nonlinear Physics, Atmospheric Science, Environmental Engineering and Economics and Econometrics, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Complex Network Analysis Techniques (10 papers), Complex Systems and Time Series Analysis (7 papers), Opinion Dynamics and Social Influence (6 papers), Meteorological Phenomena and Simulations (5 papers), Time Series Analysis and Forecasting (4 papers), Remote Sensing in Agriculture (3 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (382 citations), Global and Planetary Change (470 citations), Atmospheric Science (242 citations), Ecological Modeling (45 citations) and Signal Processing (94 citations). Karsten Steinhaeuser has collaborated with scholars based in United States and India. Frequent co-authors include Nitesh V. Chawla, Auroop Ratan Ganguly, Evan Kodra, Esther S. Parish, Anastasios A. Tsonis, Snigdhansu Chatterjee, John B. Drake, Marcia L. Branstetter, Nagendra Pratap Singh and David J. Erickson. Their work appears in journals such as Climate Dynamics, Journal of Climate, Geophysical Research Letters, JMIR mhealth and uhealth and Statistical Analysis and Data Mining The ASA Data Science Journal.

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.

Explore authors with similar magnitude of impact