Karl Rohe

1.6k total citations
27 papers, 649 citations indexed

About

Karl Rohe is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Karl Rohe has authored 27 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 9 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Karl Rohe's work include Complex Network Analysis Techniques (8 papers), Sparse and Compressive Sensing Techniques (4 papers) and Bayesian Methods and Mixture Models (4 papers). Karl Rohe is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Sparse and Compressive Sensing Techniques (4 papers) and Bayesian Methods and Mixture Models (4 papers). Karl Rohe collaborates with scholars based in United States, China and South Korea. Karl Rohe's co-authors include Ricardo Kriebel, Cécile Ané, Tai Qin, Yini Zhang, Chris Wells, Song Wang, Joshua T Vogelstein, Bin Yu, Juhee Cho and Jinzhu Jia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Karl Rohe

26 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Rohe United States 11 172 146 95 90 82 27 649
Sébastien Roch United States 20 193 1.1× 170 1.2× 10 0.1× 176 2.0× 120 1.5× 43 1.4k
Michael Salter‐Townshend Ireland 11 124 0.7× 103 0.7× 19 0.2× 26 0.3× 18 0.2× 29 449
N. Jardine United Kingdom 18 40 0.2× 385 2.6× 9 0.1× 73 0.8× 120 1.5× 35 1.5k
Karthik Ram United States 16 17 0.1× 122 0.8× 16 0.2× 44 0.5× 17 0.2× 39 1.2k
David Corney United Kingdom 16 208 1.2× 542 3.7× 136 1.4× 239 2.7× 7 0.1× 28 1.3k
Konstantin Klemm Germany 19 1.4k 7.9× 99 0.7× 48 0.5× 445 4.9× 14 0.2× 52 2.1k
Arfon M. Smith United States 18 42 0.2× 144 1.0× 29 0.3× 33 0.4× 3 0.0× 34 1.9k
Alexander Riegler Belgium 11 73 0.4× 80 0.5× 8 0.1× 145 1.6× 29 0.4× 48 612
Francesca Tria Italy 16 220 1.3× 124 0.8× 21 0.2× 150 1.7× 10 0.1× 48 779
Pascal Pons France 6 477 2.8× 200 1.4× 43 0.5× 92 1.0× 3 0.0× 8 1.0k

Countries citing papers authored by Karl Rohe

Since Specialization
Citations

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

Fields of papers citing papers by Karl Rohe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Rohe

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Rohe. A scholar is included among the top collaborators of Karl Rohe 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 Karl Rohe. Karl Rohe 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.
Rohe, Karl, et al.. (2023). A New Basis for Sparse Principal Component Analysis. Journal of Computational and Graphical Statistics. 33(2). 421–434. 3 indexed citations
2.
Rohe, Karl, et al.. (2023). Vintage factor analysis with Varimax performs statistical inference. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(4). 1037–1060. 14 indexed citations
3.
Zhang, Yini, et al.. (2021). Social Media Public Opinion as Flocks in a Murmuration: Conceptualizing and Measuring Opinion Expression on Social Media. Journal of Computer-Mediated Communication. 27(1). 28 indexed citations
4.
Zhang, Yilin, et al.. (2018). Discovering political topics in Facebook discussion threads with graph contextualization. The Annals of Applied Statistics. 12(2). 7 indexed citations
5.
Cho, Juhee, Donggyu Kim, & Karl Rohe. (2018). Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory forAdaptive-Impute. Journal of Computational and Graphical Statistics. 28(2). 323–333. 2 indexed citations
6.
Rohe, Karl. (2018). A critical threshold for design effects in network sampling. The Annals of Statistics. 47(1). 12 indexed citations
7.
Bolt, Daniel M., et al.. (2017). Latent Factors in Student–Teacher Interaction Factor Analysis. Journal of Educational and Behavioral Statistics. 42(2). 115–144. 7 indexed citations
8.
Zhang, Yini, Chris Wells, Song Wang, & Karl Rohe. (2017). Attention and amplification in the hybrid media system: The composition and activity of Donald Trump’s Twitter following during the 2016 presidential election. New Media & Society. 20(9). 3161–3182. 90 indexed citations
9.
Cho, Juhee, Donggyu Kim, & Karl Rohe. (2017). Asymptotic theory for estimating the singular vectors and values of a partially-observed low rank matrix with noise. Statistica Sinica. 7 indexed citations
10.
Rohe, Karl, et al.. (2017). A note on quickly sampling a sparse matrix with low rank expectation. Journal of Machine Learning Research. 19(1). 3040–3052. 2 indexed citations
11.
Vogelstein, Joshua T, et al.. (2017). Covariate-assisted spectral clustering. Biometrika. 104(2). 361–377. 65 indexed citations
12.
Li, Xiao & Karl Rohe. (2017). Central limit theorems for network driven sampling. Electronic Journal of Statistics. 11(2). 7 indexed citations
13.
Rohe, Karl, Tai Qin, & Bin Yu. (2016). Co-clustering directed graphs to discover asymmetries and directional communities. Proceedings of the National Academy of Sciences. 113(45). 12679–12684. 58 indexed citations
14.
Qin, Tai & Karl Rohe. (2013). Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel. Neural Information Processing Systems. 26. 3120–3128. 47 indexed citations
15.
Vu, Vincent Q., Juhee Cho, Jing Lei, & Karl Rohe. (2013). Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA. Neural Information Processing Systems. 26. 2670–2678. 57 indexed citations
16.
Jia, Jinzhu, Karl Rohe, & Bin Yu. (2013). The Lasso under Poisson-like heteroscedasticity. Statistica Sinica. 10 indexed citations
17.
Rohe, Karl. (1994). Politik : Begriffe und Wirklichkeiten : eine Einführung in das politische Denken. W. Kohlhammer eBooks. 3 indexed citations
18.
Jones, Larry Eugene, et al.. (1992). Elections, Parties and Political Traditions: Social Foundations of German Parties and Party Systems, 1867-1987. German Studies Review. 15(2). 364–364. 7 indexed citations
19.
Rohe, Karl. (1986). Vom Revier zum Ruhrgebiet : Wahlen, Parteien, politische Kultur. 1 indexed citations
20.
Alemann, Ulrich von & Karl Rohe. (1985). Parteien und Wahlen in Nordrhein-Westfalen. Kohlhammer eBooks. 1 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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