Martin J. Chadwick
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms 15
- Neural dynamics and brain function 5
- Memory Processes and Influences 5
- Functional Brain Connectivity Studies 4
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- Neuroscience and Neuropharmacology Research 11
- Behavioral Neuroscience top 10%
- Neurology top 10%
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- Fetal and Pediatric Neurological Disorders 2
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- Advanced Neuroimaging Techniques and Applications 2
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- Ethics and Social Impacts of AI 2
- Co-authors
- Eleanor A. MaguireDemis HassabisHeidi M. BonniciNikolaus WeiskopfDharshan KumaranHugo J. SpiersAntoine LuttiSinéad L. Mullally
- Journals
- Hippocampus (3 papers)Proceedings of the National Academy of Sciences (3 papers)Current Biology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Martin J. Chadwick
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 969
- Cellular and Molecular Neuroscience 377
- Behavioral Neuroscience 39
- Developmental and Educational Psychology 134
- Neurology 68
Countries citing papers authored by Martin J. Chadwick
This map shows the geographic impact of Martin J. Chadwick'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 Martin J. Chadwick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Chadwick more than expected).
Fields of papers citing papers by Martin J. Chadwick
This network shows the impact of papers produced by Martin J. Chadwick. 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 Martin J. Chadwick. The network helps show where Martin J. Chadwick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin J. Chadwick, 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 | AI can help humans find common ground in democratic deliberationbreakdown → | 2024 | 37 |
| 2 | 2022 | 0 | |
| 3 | 2018 | 86 | |
| 4 | 2018 | 13 | |
| 5 | 2016 | 27 | |
| 6 | 2016 | 70 | |
| 7 | 2015 | 32 | |
| 8 | 2015 | 6 | |
| 9 | 2014 | 11 | |
| 10 | 2014 | 93 | |
| 11 | 2013 | 36 | |
| 12 | 2013 | 22 | |
| 13 | 2013 | 61 | |
| 14 | 2012 | 72 | |
| 15 | 2012 | 44 | |
| 16 | 2012 | 59 | |
| 17 | 2012 | 143 | |
| 18 | 2011 | 50 | |
| 19 | 2011 | 60 | |
| 20 | 2010 | 164 |
About Martin J. Chadwick
Martin J. Chadwick is a scholar working on Computational Mathematics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (5 papers), Memory Processes and Influences (5 papers), Functional Brain Connectivity Studies (4 papers), Fetal and Pediatric Neurological Disorders (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Cognitive Neuroscience (969 citations), Cellular and Molecular Neuroscience (377 citations) and Behavioral Neuroscience (39 citations). Martin J. Chadwick has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Eleanor A. Maguire, Demis Hassabis, Heidi M. Bonnici, Nikolaus Weiskopf, Dharshan Kumaran, Hugo J. Spiers, Antoine Lutti, Sinéad L. Mullally, Amy Jolly and Raphaël Koster. Their work appears in journals such as Hippocampus, Proceedings of the National Academy of Sciences, Current Biology, Cortex and Epilepsy Research.
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.