Thomas Stemler

908 total citations
50 papers, 630 citations indexed

About

Thomas Stemler is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Thomas Stemler has authored 50 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 14 papers in Computer Networks and Communications and 10 papers in Signal Processing. Recurrent topics in Thomas Stemler's work include Nonlinear Dynamics and Pattern Formation (12 papers), Complex Systems and Time Series Analysis (10 papers) and Time Series Analysis and Forecasting (9 papers). Thomas Stemler is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (12 papers), Complex Systems and Time Series Analysis (10 papers) and Time Series Analysis and Forecasting (9 papers). Thomas Stemler collaborates with scholars based in Australia, Germany and United Kingdom. Thomas Stemler's co-authors include Michael Small, Kevin Judd, H. Benner, Herbert Ho‐Ching Iu, Deniz Eroglu, Jürgen Kurths, Norbert Marwan, J. Werner, Ayham Zaitouny and Karl‐Heinz Wyrwoll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Thomas Stemler

47 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Stemler Australia 15 263 207 129 123 105 50 630
John Gibson United States 9 335 1.3× 211 1.0× 226 1.8× 115 0.9× 79 0.8× 14 1.0k
Deniz Eroglu Türkiye 13 201 0.8× 140 0.7× 173 1.3× 47 0.4× 62 0.6× 26 551
James B. Kadtke United States 14 365 1.4× 173 0.8× 142 1.1× 104 0.8× 66 0.6× 44 661
R. Eykholt United States 15 433 1.6× 245 1.2× 186 1.4× 209 1.7× 98 0.9× 25 1.2k
Kateřina Hlaváčková‐Schindler Austria 6 134 0.5× 153 0.7× 66 0.5× 140 1.1× 61 0.6× 21 672
Silke Siegert Germany 6 230 0.9× 134 0.6× 67 0.5× 53 0.4× 29 0.3× 7 536
Huanfei Ma China 18 263 1.0× 69 0.3× 203 1.6× 223 1.8× 50 0.5× 37 782
J. Kurths Germany 10 384 1.5× 223 1.1× 207 1.6× 43 0.3× 45 0.4× 19 962
Laura C. Carpi Brazil 13 322 1.2× 253 1.2× 75 0.6× 94 0.8× 75 0.7× 18 605
Malte Siefert Germany 11 143 0.5× 85 0.4× 45 0.3× 73 0.6× 23 0.2× 30 633

Countries citing papers authored by Thomas Stemler

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Stemler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Stemler

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Stemler. A scholar is included among the top collaborators of Thomas Stemler 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 Thomas Stemler. Thomas Stemler 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.
Stemler, Thomas, et al.. (2024). Cognitive dissonance and introversion effects on opinion dynamics and echo chamber formation. Physica A Statistical Mechanics and its Applications. 654. 130130–130130.
2.
Sun, Yuchao, et al.. (2024). Modeling Uncertainties for Automated and Connected Vehicles in Mixed Traffic. Journal of Advanced Transportation. 2024(1). 1 indexed citations
3.
Corrêa, Débora, et al.. (2023). Network representations of attractors for change point detection. Communications Physics. 6(1).
4.
Cripps, Edward, et al.. (2022). Low-rank statistical finite elements for scalable model-data synthesis. Journal of Computational Physics. 463. 111261–111261. 6 indexed citations
5.
Cripps, Edward, et al.. (2020). Statistical finite elements for misspecified models. Proceedings of the National Academy of Sciences. 118(2). 14 indexed citations
6.
Jüngling, Thomas, Thomas Stemler, & Michael Small. (2020). Laminar chaos in nonlinear electronic circuits with delay clock modulation. Physical review. E. 101(1). 12215–12215. 9 indexed citations
7.
Stemler, Thomas, et al.. (2019). Learned emergence in selfish collective motion. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(12). 123101–123101. 5 indexed citations
8.
Stemler, Thomas, et al.. (2019). Markov modeling via ordinal partitions: An alternative paradigm for network-based time-series analysis. Physical review. E. 100(6). 62307–62307. 28 indexed citations
9.
Small, Michael, et al.. (2017). Multiscale ordinal network analysis of human cardiac dynamics. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 375(2096). 20160292–20160292. 68 indexed citations
10.
Stemler, Thomas, et al.. (2017). Regenerating time series from ordinal networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(3). 35814–35814. 33 indexed citations
11.
Bassom, Andrew P., et al.. (2017). Interacting convection modes in a saturated porous medium of nearly square planform: four modes. IMA Journal of Applied Mathematics. 82(3). 526–547. 3 indexed citations
12.
Stemler, Thomas, et al.. (2016). Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(12). 123103–123103. 29 indexed citations
13.
Stemler, Thomas, et al.. (2016). Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(12). 123104–123104. 26 indexed citations
14.
Eroglu, Deniz, Thomas Stemler, Karl‐Heinz Wyrwoll, et al.. (2016). See–saw relationship of the Holocene East Asian–Australian summer monsoon. Nature Communications. 7(1). 12929–12929. 82 indexed citations
15.
Stemler, Thomas, et al.. (2015). Noise Induced Jumping Dynamics Between Synchronized Modes. International Journal of Bifurcation and Chaos. 25(12). 1530034–1530034. 2 indexed citations
16.
Small, Michael, Yingying Li, Thomas Stemler, & Kevin Judd. (2015). Growing optimal scale-free networks via likelihood. Physical Review E. 91(4). 42801–42801. 17 indexed citations
17.
Judd, Kevin & Thomas Stemler. (2009). Failures of sequential Bayesian filters and the successes of shadowing filters in tracking of nonlinear deterministic and stochastic systems. Physical Review E. 79(6). 66206–66206. 19 indexed citations
18.
Judd, Kevin & Thomas Stemler. (2009). Forecasting: it is not about statistics, it is about dynamics. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1910). 263–271. 8 indexed citations
19.
Stemler, Thomas, J. Werner, H. Benner, & Wolfram Just. (2007). Stochastic Modeling of Experimental Chaotic Time Series. Physical Review Letters. 98(4). 44102–44102. 14 indexed citations
20.
Urbanowicz, Krzysztof, Janusz A. Hołyst, Thomas Stemler, & H. Benner. (2003). Noise reduction in chaotic time series by a local projection with nonlinear constraints. Acta Physica Polonica B. 35(9). 2175–2197. 11 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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