Mark Ebden
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Computational Mathematics top 10%
Papers in
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- Gaussian Processes and Bayesian Inference 3
- Bayesian Modeling and Causal Inference 2
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Stephen Roberts (7 shared papers)Ioannis Psorakis (1 shared paper)Ben C. Sheldon (1 shared paper)S. Aigrain (2 shared papers)Neale P. Gibson (2 shared papers)Michael A. Osborne (2 shared papers)Steven Reece (2 shared papers)Lionel Tarassenko (2 shared papers)
- Journals
- Epilepsia (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Neuromodulation Technology at the Neural Interface (1 paper)Data Mining and Knowledge Discovery (1 paper)NeuroImage Clinical (1 paper)
- Partner nations
- United KingdomCanada
In The Last Decade
Mark Ebden
17 papers receiving 922 citations
Mark Ebden's Hit Papers
Peers
Comparison fields: 5 of 136
- Statistical and Nonlinear Physics 256
- Computational Mathematics 10
- Artificial Intelligence 280
- Signal Processing 90
- Management Science and Operations Research 93
Countries citing papers authored by Mark Ebden
This map shows the geographic impact of Mark Ebden'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 Ebden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Ebden more than expected).
Fields of papers citing papers by Mark Ebden
This network shows the impact of papers produced by Mark Ebden. 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 Ebden. The network helps show where Mark Ebden may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Ebden, 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 | Gaussian processes for time-series modelling Hit paper breakdown → | 2013 | 372 |
| 2 | 2011 | 287 | |
| 3 | 2006 | 104 | |
| 4 | Gaussian Processes for Regression: A Quick Introduction | 2008 | 87 |
| 5 | 2008 | 28 | |
| 6 | 2023 | 12 | |
| 7 | 2018 | 11 | |
| 8 | Gaussian Processes for Timeseries Modelling. | 2012 | 11 |
| 9 | 2013 | 10 | |
| 10 | 2009 | 7 | |
| 11 | 2004 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2008 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2005 | 1 |
About Mark Ebden
Mark Ebden is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 17 papers that have together received 951 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Gaussian Processes and Bayesian Inference (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Scientific Computing and Data Management (2 papers), Epilepsy research and treatment (2 papers), Complex Network Analysis Techniques (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (256 citations), Computational Mathematics (10 citations), Artificial Intelligence (280 citations), Signal Processing (90 citations) and Management Science and Operations Research (93 citations). Mark Ebden has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include Stephen Roberts, Ioannis Psorakis, Ben C. Sheldon, S. Aigrain, Neale P. Gibson, Michael A. Osborne, Steven Reece, Lionel Tarassenko, Stephen J. Payne and David T. Delpy. Their work appears in journals such as Epilepsia, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Neuromodulation Technology at the Neural Interface, Data Mining and Knowledge Discovery and NeuroImage Clinical.
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.