David P. Rosin
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- Daniel J. GauthierDamien RontaniEckehard SchöllIngo FischerMiguel C. SorianoLeonhard LückenThomas ErneuxSerhiy Yanchuk
- Topics
- Nonlinear Dynamics and Pattern Formation (7 papers)Gene Regulatory Network Analysis (4 papers)Neural dynamics and brain function (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Physical Review LettersEurophysics Letters (EPL)Chaos An Interdisciplinary Journal of Nonlinear Science
- Partner nations
- United StatesGermanyFrance
In The Last Decade
David P. Rosin
12 papers receiving 373 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 224
- Statistical and Nonlinear Physics 141
- Artificial Intelligence 133
- Electrical and Electronic Engineering 110
- Cognitive Neuroscience 104
Countries citing papers authored by David P. Rosin
This map shows the geographic impact of David P. Rosin'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 David P. Rosin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Rosin more than expected).
Fields of papers citing papers by David P. Rosin
This network shows the impact of papers produced by David P. Rosin. 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 David P. Rosin. The network helps show where David P. Rosin may publish in the future.
Co-authorship network of co-authors of David P. Rosin
This figure shows the co-authorship network connecting the top 25 collaborators of David P. Rosin. A scholar is included among the top collaborators of David P. Rosin 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 David P. Rosin. David P. Rosin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 94 | |
| 4 | 26 | |
| 5 | 98 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 32 | |
| 9 | 64 | |
| 10 | 4 | |
| 11 | Pulse train solutions in a time-delayed opto-electronic oscillator | 1 |
| 12 | 32 |
About David P. Rosin
David P. Rosin is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 12 papers that have together received 396 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (7 papers), Gene Regulatory Network Analysis (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (141 citations), Computer Networks and Communications (224 citations) and Cognitive Neuroscience (104 citations). David P. Rosin has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Daniel J. Gauthier, Damien Rontani, Eckehard Schöll, Ingo Fischer, Miguel C. Soriano, Leonhard Lücken, Thomas Erneux and Serhiy Yanchuk. Their work appears in journals such as Physical Review Letters, Europhysics Letters (EPL) and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.