Thomas Jüngling
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Nonlinear Dynamics and Pattern Formation 20
- Neural Networks Stability and Synchronization 3
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- Chaos control and synchronization 15
- stochastic dynamics and bifurcation 7
- Co-authors
- Wolfgang Kinzel (5 shared papers)Ingo Fischer (7 shared papers)Michael Small (11 shared papers)Otti D’Huys (5 shared papers)Eckehard Schöll (3 shared papers)Miguel C. Soriano (5 shared papers)Ido Kanter (2 shared papers)Viktor Urumov (2 shared papers)
In The Last Decade
Thomas Jüngling
26 papers receiving 404 citations
Peers
Comparison fields: 5 of 48
- Statistical and Nonlinear Physics 224
- Computer Networks and Communications 297
- Acoustics and Ultrasonics 6
- Artificial Intelligence 151
- Cognitive Neuroscience 77
Countries citing papers authored by Thomas Jüngling
This map shows the geographic impact of Thomas Jüngling'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 Jüngling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Jüngling more than expected).
Fields of papers citing papers by Thomas Jüngling
This network shows the impact of papers produced by Thomas Jüngling. 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 Jüngling. The network helps show where Thomas Jüngling may publish in the future.
Co-authors
The 23 scholars most cited alongside Thomas Jüngling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 93 | |
| 2 | 2013 | 36 | |
| 3 | 2019 | 31 | |
| 4 | 2014 | 27 | |
| 5 | 2013 | 27 | |
| 6 | 2015 | 25 | |
| 7 | 2012 | 24 | |
| 8 | 2014 | 19 | |
| 9 | 2013 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2008 | 6 | |
| 20 | 2015 | 6 |
About Thomas Jüngling
Thomas Jüngling is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 27 papers that have together received 418 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), Chaos control and synchronization (15 papers), Neural Networks and Reservoir Computing (10 papers), stochastic dynamics and bifurcation (7 papers), Neural Networks Stability and Synchronization (3 papers), Neural dynamics and brain function (3 papers), Neural Networks and Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (224 citations), Computer Networks and Communications (297 citations), Acoustics and Ultrasonics (6 citations), Artificial Intelligence (151 citations) and Cognitive Neuroscience (77 citations). Thomas Jüngling has collaborated with scholars based in Australia, Germany and Spain. Frequent co-authors include Wolfgang Kinzel, Ingo Fischer, Michael Small, Otti D’Huys, Eckehard Schöll, Miguel C. Soriano, Ido Kanter, Viktor Urumov, Aleksandar Gjurchinovski and Serhiy Yanchuk. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters, Physical review. E, Physica D Nonlinear Phenomena and IEEE Transactions on Neural Networks and Learning Systems.
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.