Carlo R. Laing
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation 39
- Chaos control and synchronization 5
- Quantum chaos and dynamical systems 5
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 50
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 55
- Neural Networks Stability and Synchronization 12
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- Photoreceptor and optogenetics research 4
- Biomedical Engineering top 5%
- Slime Mold and Myxomycetes Research 12
- Co-authors
- Carson C. ChowWilliam C. TroyStephen CoombesErik A. MartensSteven H. StrogatzAndré LongtinBoris GutkinIoannis G. Kevrekidis
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- Physical Review Letters (1 paper)Nature Communications (1 paper)Journal of Neuroscience (2 papers)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Carlo R. Laing
81 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 1.8k
- Cognitive Neuroscience 2.2k
- Computer Networks and Communications 2.3k
- Cellular and Molecular Neuroscience 498
- Biomedical Engineering 774
Countries citing papers authored by Carlo R. Laing
This map shows the geographic impact of Carlo R. Laing'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 Carlo R. Laing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo R. Laing more than expected).
Fields of papers citing papers by Carlo R. Laing
This network shows the impact of papers produced by Carlo R. Laing. 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 Carlo R. Laing. The network helps show where Carlo R. Laing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlo R. Laing, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 3 | |
| 6 | 2018 | 27 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 75 | |
| 9 | 2015 | 131 | |
| 10 | 2015 | 7 | |
| 11 | 2014 | 19 | |
| 12 | 2012 | 12 | |
| 13 | 2011 | 33 | |
| 14 | 2009 | 7 | |
| 15 | 2007 | 71 | |
| 16 | 2003 | 25 | |
| 17 | 2002 | 258 | |
| 18 | 2002 | 95 | |
| 19 | 2002 | 23 | |
| 20 | 2001 | 144 |
About Carlo R. Laing
Carlo R. Laing is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 82 papers that have together received 3.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (55 papers), Neural dynamics and brain function (50 papers), stochastic dynamics and bifurcation (39 papers), Slime Mold and Myxomycetes Research (12 papers), Neural Networks Stability and Synchronization (12 papers), Chaos control and synchronization (5 papers), Quantum chaos and dynamical systems (5 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Cognitive Neuroscience (2.2k citations) and Computer Networks and Communications (2.3k citations). Carlo R. Laing has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Carson C. Chow, William C. Troy, Stephen Coombes, Erik A. Martens, Steven H. Strogatz, André Longtin, Boris Gutkin, Ioannis G. Kevrekidis, G. Bard Ermentrout and Xiaoying Huang. Their work appears in journals such as Physical Review Letters, Nature Communications and Journal of Neuroscience.
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.