Nigel Goddard

5.8k citations
61 papers · 4.1k · 2 hit papers · h-index 19

Impact in

Papers in

Nigel Goddard

60 papers receiving 4.0k citations

Nigel Goddard's Hit Papers

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring 2018 · 413 citations
4130+4+8Years since publication50010001.5k

Peers

Nigel Goddard
Comparison fields: 5 of 185
  • Cognitive Neuroscience 1.1k
  • Computer Vision and Pattern Recognition 863
  • Artificial Intelligence 1.1k
  • Cellular and Molecular Neuroscience 399
  • Biophysics 107
Replace Günther Palm with:
Günther Palm Germany
Jagath Chandana Rajapakse Singapore
Nathan Intrator Israel
Yuanjie Zheng China
Shin Ishii Japan
David J. McGonigle United Kingdom
Ning Qian United States
Aamir Saeed Malik Malaysia
Hava T. Siegelmann United States
Stephen José Hanson United States
Nigel Goddard relative to Günther Palm Germany Günther Palm's profile →
Citations per field
00.5×1.5×2.1×
Günther Palm · 1×
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 61 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 →
20141762
2
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring
Hit paper breakdown →
2018413
3
Proceedings of the 15th Annual Conference of the Cognitive Science Society
1993383
4 1996199
5 1996178
6 1992167
7 2004140
8 2005120
9 200190
10 200686
11
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
201453
12
The Perception of Articulated Motion: Recognizing Moving Light Displays
199252
13 200442
14 200636
15 199730
16 200029
17 200228
18 200125
19 200521
20 200119

About Nigel Goddard

Nigel Goddard is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Information Systems and Management, Environmental Engineering and Biophysics, having authored 61 papers that have together received 4.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (6 papers), Energy, Environment, and Transportation Policies (5 papers), Scientific Computing and Data Management (5 papers), Neural Networks and Applications (5 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 (1.1k citations), Computer Vision and Pattern Recognition (863 citations), Artificial Intelligence (1.1k citations), Cellular and Molecular Neuroscience (399 citations) and Biophysics (107 citations). Nigel Goddard has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Charles A. Sutton, Mingjun Zhong, James L. McClelland, Chaoyun Zhang, Enrico Simonotto, Ian Marshall, Joanna Marguerite Wardlaw, SM Lawrie, Heather Clare Whalley and Eve C. Johnstone. Their work appears in journals such as Neurocomputing, Hippocampus, Artificial Intelligence, Applied Energy and Network Computation in Neural Systems.

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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