Thomas Stemler
-
- stochastic dynamics and bifurcation 9
- Chaos control and synchronization 8
- Signal Processing top 5%
- Time Series Analysis and Forecasting 9
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis 10
- Atmospheric Science top 10%
-
- Nonlinear Dynamics and Pattern Formation 12
-
- Ecosystem dynamics and resilience 5
- Climate variability and models 4
-
- Target Tracking and Data Fusion in Sensor Networks 4
- Co-authors
- Michael SmallKevin JuddH. BennerHerbert Ho‐Ching IuDeniz ErogluNorbert MarwanJürgen KurthsAyham Zaitouny
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (6 papers)Physical review. E (4 papers)Physica D Nonlinear Phenomena (4 papers)
- Partner nations
- AustraliaGermanyUnited Kingdom
In The Last Decade
Thomas Stemler
47 papers receiving 610 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 263
- Signal Processing 105
- Economics and Econometrics 207
- Atmospheric Science 104
- Computer Networks and Communications 129
Countries citing papers authored by Thomas Stemler
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
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
The 25 scholars most cited alongside Thomas Stemler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 28 | |
| 11 | 2017 | 33 | |
| 12 | 2017 | 68 | |
| 13 | 2016 | 29 | |
| 14 | 2016 | 26 | |
| 15 | 2016 | 82 | |
| 16 | 2015 | 24 | |
| 17 | 2015 | 17 | |
| 18 | 2009 | 19 | |
| 19 | 2009 | 8 | |
| 20 | 2008 | 6 |
About Thomas Stemler
Thomas Stemler is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 50 papers that have together received 630 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Complex Systems and Time Series Analysis (10 papers), Time Series Analysis and Forecasting (9 papers), stochastic dynamics and bifurcation (9 papers), Chaos control and synchronization (8 papers), Ecosystem dynamics and resilience (5 papers), Climate variability and models (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (263 citations), Signal Processing (105 citations) and Economics and Econometrics (207 citations). Thomas Stemler has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Michael Small, Kevin Judd, H. Benner, Herbert Ho‐Ching Iu, Deniz Eroglu, Norbert Marwan, Jürgen Kurths, Ayham Zaitouny, J. Werner and Karl‐Heinz Wyrwoll. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, Physica D Nonlinear Phenomena, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Physica A Statistical Mechanics and its Applications.
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.