Nigel Goddard
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 10
- Neural dynamics and brain function 5
- Memory and Neural Mechanisms 5
- Artificial Intelligence top 2%
- Neural Networks and Applications 5
- Biophysics top 5%
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- Energy, Environment, and Transportation Policies 5
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- Scientific Computing and Data Management 5
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- Building Energy and Comfort Optimization 4
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- Environmental Impact and Sustainability 4
- Co-authors
- Mingjun ZhongCharles SuttonJames L. McClellandChaoyun ZhangEnrico SimonottoIan MarshallJoanna M. WardlawEve C. Johnstone
- Journals
- Neurocomputing (7 papers)Network Computation in Neural Systems (2 papers)Applied Energy (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Nigel Goddard
55 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Cognitive Neuroscience 1.0k
- Computer Vision and Pattern Recognition 586
- Artificial Intelligence 818
- Cellular and Molecular Neuroscience 381
- Biophysics 92
Countries citing papers authored by Nigel Goddard
This map shows the geographic impact of Nigel Goddard'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 Nigel Goddard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Goddard more than expected).
Fields of papers citing papers by Nigel Goddard
This network shows the impact of papers produced by Nigel Goddard. 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 Nigel Goddard. The network helps show where Nigel Goddard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nigel Goddard, 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 | 2021 | 40 | |
| 2 | 2021 | 2 | |
| 3 | 2018 | 11 | |
| 4 | 2016 | 5 | |
| 5 | The 4th European Conference on Behaviour and Energy Efficiency (Behave 2016) | 2016 | 6 |
| 6 | 2015 | 14 | |
| 7 | Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation | 2014 | 47 |
| 8 | 2009 | 10 | |
| 9 | 2006 | 76 | |
| 10 | 2006 | 36 | |
| 11 | 2005 | 111 | |
| 12 | 2004 | 43 | |
| 13 | 2004 | 2 | |
| 14 | 2003 | 4 | |
| 15 | 2003 | 1 | |
| 16 | 2003 | 5 | |
| 17 | 2002 | 4 | |
| 18 | 1996 | 189 | |
| 19 | 1996 | 168 | |
| 20 | The Perception of Articulated Motion: Recognizing Moving Light Displays | 1992 | 37 |
About Nigel Goddard
Nigel Goddard is a scholar working on Cognitive Neuroscience, Information Systems and Management and Biophysics, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Energy, Environment, and Transportation Policies (5 papers), Scientific Computing and Data Management (5 papers), Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (5 papers), Neural Networks and Applications (5 papers), Building Energy and Comfort Optimization (4 papers) and Environmental Impact and Sustainability (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Computer Vision and Pattern Recognition (586 citations) and Artificial Intelligence (818 citations). Nigel Goddard has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Mingjun Zhong, Charles Sutton, James L. McClelland, Chaoyun Zhang, Enrico Simonotto, Ian Marshall, Joanna M. Wardlaw, Eve C. Johnstone, Ian J. Deary and Heather C. Whalley. Their work appears in journals such as Neurocomputing, Network Computation in Neural Systems, Applied Energy, Artificial Intelligence and Hippocampus.
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.