Nigel Goddard

5.8k citations
58 papers · 3.5k · 2 hit papers · h-index 20

Impact in

Papers in

Nigel Goddard

55 papers receiving 3.4k citations

Nigel Goddard's Hit Papers

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring 2018 · 363 citations
3630+4+8Years since publication4008001.2k

Peers

Nigel Goddard
Comparison fields: 5 of 184
  • Cognitive Neuroscience 968
  • Computer Vision and Pattern Recognition 584
  • Artificial Intelligence 816
  • Cellular and Molecular Neuroscience 373
  • Developmental Neuroscience 59
Replace Nathan Intrator with:
Nathan Intrator Israel
Hava T. Siegelmann United States
Yuanjie Zheng China
Günther Palm Germany
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Aamir Saeed Malik Malaysia
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David S. Touretzky United States
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Citations per field
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Citations per year

Countries citing papers authored by Nigel Goddard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Nigel Goddard Line = papers co-authored together Nigel Goddard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances in Neural Information Processing Systems 27 (NIPS 2014)
Hit paper breakdown →
20141337
2
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring
Hit paper breakdown →
2018363
3
Proceedings of the 15th Annual Conference of the Cognitive Science Society
1993299
4 1996189
5 1996167
6 2004135
7 1992122
8 2005112
9 200177
10 200676
11
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
201448
12 202145
13 200443
14
Rochester Connectionist Simulator
198942
15
The Perception of Articulated Motion: Recognizing Moving Light Displays
199237
16 200636
17 199730
18 200028
19 200227
20 200123

About Nigel Goddard

Nigel Goddard is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Networks and Communications, Environmental Engineering and Electrical and Electronic Engineering, having authored 58 papers that have together received 3.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural Networks and Applications (5 papers), Scientific Computing and Data Management (5 papers), Energy, Environment, and Transportation Policies (5 papers), Neural dynamics and brain function (5 papers), Building Energy and Comfort Optimization (4 papers), Cell Image Analysis Techniques (4 papers) and Environmental Impact and Sustainability (4 papers). The work is most often cited by research in Cognitive Neuroscience (968 citations), Computer Vision and Pattern Recognition (584 citations), Artificial Intelligence (816 citations), Cellular and Molecular Neuroscience (373 citations) and Developmental Neuroscience (59 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, Heather C. Whalley, Eve C. Johnstone and Stephen M. Lawrie. Their work appears in journals such as Neurocomputing, Artificial Intelligence, Hippocampus, Network Computation in Neural Systems and Applied Energy.

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.

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