Karsten Steinhaeuser

1.7k total citations
28 papers, 1.0k citations indexed

About

Karsten Steinhaeuser is a scholar working on Global and Planetary Change, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Karsten Steinhaeuser has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 8 papers in Economics and Econometrics and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Karsten Steinhaeuser's work include Climate variability and models (10 papers), Complex Systems and Time Series Analysis (8 papers) and Complex Network Analysis Techniques (7 papers). Karsten Steinhaeuser is often cited by papers focused on Climate variability and models (10 papers), Complex Systems and Time Series Analysis (8 papers) and Complex Network Analysis Techniques (7 papers). Karsten Steinhaeuser collaborates with scholars based in United States, United Kingdom and Portugal. Karsten Steinhaeuser's co-authors include Auroop R. Ganguly, Nitesh V. Chawla, Evan Kodra, Esther S. Parish, Anastasios A. Tsonis, Snigdhansu Chatterjee, Lawrence Buja, John B. Drake, M. L. Branstetter and David J. Erickson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Karsten Steinhaeuser

27 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karsten Steinhaeuser United States 16 410 249 208 160 96 28 1.0k
Frank Kwasniok United Kingdom 13 398 1.0× 146 0.6× 301 1.4× 58 0.4× 86 0.9× 40 655
Avi Gozolchiani Israel 14 669 1.6× 357 1.4× 309 1.5× 37 0.2× 303 3.2× 15 994
Michele Lovallo Italy 22 336 0.8× 270 1.1× 60 0.3× 282 1.8× 550 5.7× 89 1.3k
Aljoscha Rheinwalt Germany 11 416 1.0× 112 0.4× 299 1.4× 34 0.2× 115 1.2× 19 678
Francisco J. Jiménez‐Hornero Spain 21 408 1.0× 113 0.5× 186 0.9× 45 0.3× 300 3.1× 68 1.1k
Geli Wang China 13 403 1.0× 117 0.5× 336 1.6× 34 0.2× 140 1.5× 47 684
Naiming Yuan China 19 680 1.7× 145 0.6× 445 2.1× 25 0.2× 353 3.7× 71 1.1k
E. Gutiérrez de Ravé Spain 18 301 0.7× 95 0.4× 153 0.7× 41 0.3× 235 2.4× 45 840
Wei Cheng China 14 493 1.2× 24 0.1× 281 1.4× 105 0.7× 39 0.4× 60 1.0k

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-authorship network of co-authors of Karsten Steinhaeuser

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

All Works

20 of 20 papers shown
1.
Liess, Stefan, P. K. Snyder, Jaya Kawale, et al.. (2014). Different Modes of Variability over the Tasman Sea: Implications for Regional Climate*. Journal of Climate. 27(22). 8466–8486. 16 indexed citations
2.
Steinhaeuser, Karsten, et al.. (2013). Climate Model Intercomparison at the Dynamics Level (Invited). AGU Fall Meeting Abstracts. 2013. 1 indexed citations
3.
Mithal, Varun, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, & Vipin Kumar. (2013). Supplement for "Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping". University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
4.
Steinhaeuser, Karsten & Anastasios A. Tsonis. (2013). A climate model intercomparison at the dynamics level. Climate Dynamics. 42(5-6). 1665–1670. 29 indexed citations
5.
Chen, X. Chelsea, et al.. (2013). Contextual Time Series Change Detection. Open MIND. 503–511. 16 indexed citations
6.
Steinhaeuser, Karsten, et al.. (2012). Sparse group lasso. 3 indexed citations
7.
Chen, X. Chelsea, Anuj Karpatne, Varun Mithal, et al.. (2012). A new data mining framework for forest fire mapping. 104–111. 8 indexed citations
8.
Steinhaeuser, Karsten, et al.. (2012). Sparse Group Lasso: Consistency and Climate Applications. 47–58. 42 indexed citations
9.
Parish, Esther S., Evan Kodra, Karsten Steinhaeuser, & Auroop R. Ganguly. (2012). Estimating future global per capita water availability based on changes in climate and population. Computers & Geosciences. 42. 79–86. 56 indexed citations
10.
Kawale, Jaya, et al.. (2012). Testing the significance of spatio-temporal teleconnection patterns. Open MIND. 642–650. 13 indexed citations
11.
Karpatne, Anuj, et al.. (2012). Importance of vegetation type in forest cover estimation. 5. 71–78. 3 indexed citations
12.
Steinhaeuser, Karsten, et al.. (2011). Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system. Lincoln Repository (University of Lincoln). 100. 239–245. 3 indexed citations
13.
Steinhaeuser, Karsten, Auroop R. Ganguly, & Nitesh V. Chawla. (2011). Multivariate and multiscale dependence in the global climate system revealed through complex networks. Climate Dynamics. 39(3-4). 889–895. 93 indexed citations
14.
Kodra, Evan, Karsten Steinhaeuser, & Auroop R. Ganguly. (2011). Persisting cold extremes under 21st-century warming scenarios. Geophysical Research Letters. 38(8). n/a–n/a. 213 indexed citations
15.
Steinhaeuser, Karsten, Nitesh V. Chawla, & Auroop R. Ganguly. (2010). COMPLEX NETWORKS IN CLIMATE SCIENCE: PROGRESS, OPPORTUNITIES AND CHALLENGES. 16–26. 15 indexed citations
16.
Das, Debasish, Auroop R. Ganguly, Varun Chandola, et al.. (2009). Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data. Knowledge Discovery and Data Mining.
17.
Steinhaeuser, Karsten & Nitesh V. Chawla. (2009). Identifying and evaluating community structure in complex networks. Pattern Recognition Letters. 31(5). 413–421. 138 indexed citations
18.
Steinhaeuser, Karsten, Nitesh V. Chawla, & Auroop R. Ganguly. (2009). An exploration of climate data using complex networks. 23–31. 17 indexed citations
19.
Ganguly, Auroop R., Karsten Steinhaeuser, David J. Erickson, et al.. (2009). Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proceedings of the National Academy of Sciences. 106(37). 15555–15559. 99 indexed citations
20.
Moretti, Christopher, Karsten Steinhaeuser, Douglas Thain, & Nitesh V. Chawla. (2008). Scaling up Classifiers to Cloud Computers. 472–481. 35 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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