Mark D. McDonnell
Impact in
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
Papers in
-
- stochastic dynamics and bifurcation 52
-
- Neural dynamics and brain function 48
- Hearing Loss and Rehabilitation 8
- Co-authors
- Derek Abbott (31 shared papers)Nigel G. Stocks (22 shared papers)C. E. M. Pearce (16 shared papers)Lawrence M. Ward (9 shared papers)Ian R. Ball (1 shared paper)Hugh P. Possingham (1 shared paper)Tony Vladusich (4 shared papers)Wei Gao (4 shared papers)
- Journals
- PLoS ONE (5 papers)Physica A Statistical Mechanics and its Applications (4 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (3 papers)Proceedings of the IEEE (2 papers)Physical Review Letters (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark D. McDonnell
119 papers receiving 4.4k citations
Mark D. McDonnell's Hit Papers
Peers
Comparison fields: 5 of 167
- Statistical and Nonlinear Physics 2.3k
- Cognitive Neuroscience 1.6k
- Statistics, Probability and Uncertainty 435
- Computer Networks and Communications 916
- Global and Planetary Change 555
Countries citing papers authored by Mark D. McDonnell
This map shows the geographic impact of Mark D. McDonnell'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 Mark D. McDonnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. McDonnell more than expected).
Fields of papers citing papers by Mark D. McDonnell
This network shows the impact of papers produced by Mark D. McDonnell. 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 Mark D. McDonnell. The network helps show where Mark D. McDonnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. McDonnell, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stochastic Resonance Hit paper breakdown → | 2008 | 1296 |
| 2 | What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology Hit paper breakdown → | 2009 | 579 |
| 3 | The benefits of noise in neural systems: bridging theory and experiment Hit paper breakdown → | 2011 | 575 |
| 4 | 2002 | 216 | |
| 5 | 2008 | 193 | |
| 6 | 2009 | 184 | |
| 7 | 2015 | 99 | |
| 8 | 2020 | 69 | |
| 9 | 2005 | 63 | |
| 10 | 2011 | 60 | |
| 11 | 2015 | 60 | |
| 12 | 2015 | 59 | |
| 13 | 2002 | 56 | |
| 14 | 2002 | 49 | |
| 15 | 2008 | 47 | |
| 16 | 2020 | 43 | |
| 17 | 2021 | 41 | |
| 18 | 2019 | 40 | |
| 19 | 2007 | 40 | |
| 20 | 2009 | 34 |
About Mark D. McDonnell
Mark D. McDonnell is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Artificial Intelligence, Molecular Biology and Computer Networks and Communications, having authored 124 papers that have together received 4.5k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (52 papers), Neural dynamics and brain function (48 papers), Neural Networks and Applications (17 papers), Machine Learning and ELM (12 papers), Diffusion and Search Dynamics (10 papers), Advanced Memory and Neural Computing (9 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Hearing Loss and Rehabilitation (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.3k citations), Cognitive Neuroscience (1.6k citations), Statistics, Probability and Uncertainty (435 citations), Computer Networks and Communications (916 citations) and Global and Planetary Change (555 citations). Mark D. McDonnell has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Derek Abbott, Nigel G. Stocks, C. E. M. Pearce, Lawrence M. Ward, Ian R. Ball, Hugh P. Possingham, Tony Vladusich, Wei Gao, Matthew J. Berryman and Xiao Gao. Their work appears in journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Proceedings of the IEEE and Physical Review Letters.
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.