Nigel Goddard

5.8k total citations · 2 hit papers
58 papers, 3.4k citations indexed

About

Nigel Goddard is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Nigel Goddard has authored 58 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Nigel Goddard's work include Functional Brain Connectivity Studies (10 papers), Energy, Environment, and Transportation Policies (5 papers) and Scientific Computing and Data Management (5 papers). Nigel Goddard is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Energy, Environment, and Transportation Policies (5 papers) and Scientific Computing and Data Management (5 papers). Nigel Goddard collaborates with scholars based in United Kingdom, United States and Belgium. Nigel Goddard's co-authors include Charles Sutton, Mingjun Zhong, James L. McClelland, Chaoyun Zhang, Enrico Simonotto, Ian Marshall, Joanna M. Wardlaw, Heather C. Whalley, Stephen M. Lawrie and Eve C. Johnstone and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Nigel Goddard

55 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in Neural Information Processing Systems 27 (NIPS 2014)

2014 1.3k citations Mingjun Zhong, Nigel Goddard et al. profile →
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring

2018 357 citations Chaoyun Zhang, Mingjun Zhong et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nigel Goddard United Kingdom	20	1.0k	818	586	551	381	58	3.4k
Stephen Marsland New Zealand	23	462 0.5×	692 0.8×	719 1.2×	320 0.6×	185 0.5×	112	3.8k
Nathan Intrator Israel	36	1.2k 1.2×	1.0k 1.3×	696 1.2×	321 0.6×	306 0.8×	135	4.5k
Daniel Yamins United States	21	2.6k 2.5×	1.1k 1.4×	1.2k 2.1×	393 0.7×	271 0.7×	63	4.7k
Biswa Sengupta United Kingdom	23	879 0.9×	991 1.2×	983 1.7×	475 0.9×	398 1.0×	36	4.1k
Justin Dauwels Singapore	40	3.3k 3.3×	934 1.1×	637 1.1×	894 1.6×	914 2.4×	267	7.0k
Aamir Saeed Malik Malaysia	36	2.6k 2.5×	474 0.6×	912 1.6×	434 0.8×	234 0.6×	342	6.4k
David Cox United States	37	2.6k 2.5×	1.8k 2.2×	2.6k 4.4×	818 1.5×	423 1.1×	91	9.4k
Dong‐Uk Hwang South Korea	16	1.5k 1.5×	667 0.8×	209 0.4×	258 0.5×	204 0.5×	37	8.7k
Alexander Kraskov United Kingdom	30	3.5k 3.5×	999 1.2×	365 0.6×	319 0.6×	1.0k 2.6×	45	6.6k
Hava T. Siegelmann United States	27	661 0.6×	2.2k 2.7×	646 1.1×	787 1.4×	177 0.5×	118	4.6k

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-authorship network of co-authors of Nigel Goddard

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Goddard. A scholar is included among the top collaborators of Nigel Goddard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nigel Goddard. Nigel Goddard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lucas, Christopher G., et al.. (2022). Bayesian Optimisation for Active Monitoring of Air Pollution. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 11908–11916. 5 indexed citations

Pullinger, Martin, Jonathan Kilgour, Nigel Goddard, et al.. (2021). The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes. Scientific Data. 8(1). 146–146. 40 indexed citations

Roberts, Simon, Barney Foran, Colin J. Axon, Benjamin Warr, & Nigel Goddard. (2018). Consequences of selecting technology pathways on cumulative carbon dioxide emissions for the United Kingdom. Applied Energy. 228. 409–425. 11 indexed citations

Zhang, Chaoyun, et al.. (2018). Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 357 indexed citations breakdown →

Webb, Lynda, et al.. (2017). Co-Designing Innovations for Energy Saving in Large Organisations. Edinburgh Research Explorer. 1 indexed citations

Roberts, Simon, Colin J. Axon, Nigel Goddard, Barney Foran, & Benjamin Warr. (2016). A robust data-driven macro-socioeconomic-energy model. Sustainable Production and Consumption. 7. 16–36. 5 indexed citations

Webb, Lynda, et al.. (2016). Behave 2016 - 4th European Conference on Behaviour and Energy Efficiency. 6 indexed citations

Pullinger, Martin, Nigel Goddard, & Janette Webb. (2016). The 4th European Conference on Behaviour and Energy Efficiency (Behave 2016). 6 indexed citations

Zhong, Mingjun, Nigel Goddard, & Charles Sutton. (2015). Latent Bayesian melding for integrating individual and population models. Neural Information Processing Systems. 28. 3618–3626. 14 indexed citations

10.

Zhong, Mingjun, Nigel Goddard, & Charles Sutton. (2014). Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation. Lincoln Repository (University of Lincoln). 27. 3590–3598. 47 indexed citations

11.

Goddard, Nigel, et al.. (2009). eCAT: Online electronic lab notebook for scientific research. PubMed. 1(1). 4–4. 10 indexed citations

12.

Whalley, Heather C., Enrico Simonotto, David G. C. Owens, et al.. (2005). Functional disconnectivity in subjects at high genetic risk of schizophrenia. Brain. 128(9). 2097–2108. 111 indexed citations

13.

Howell, F., Robert C. Cannon, & Nigel Goddard. (2004). How do we get the data to build computational models?. Neurocomputing. 58-60. 1103–1108. 2 indexed citations

14.

Marshall, Ian, Enrico Simonotto, Ian J. Deary, et al.. (2004). Repeatability of Motor and Working-Memory Tasks in Healthy Older Volunteers: Assessment at Functional MR Imaging. Radiology. 233(3). 868–877. 43 indexed citations

15.

Goddard, Nigel, et al.. (2003). Axiope Tools for Data Management and Data Sharing. Neuroinformatics. 1(3). 271–284. 4 indexed citations

16.

Goddard, Nigel. (2003). The interpretation of visual motion: recognizing moving light displays. 212–220. 5 indexed citations

17.

Goddard, Nigel, David Beeman, Robert C. Cannon, et al.. (2002). NeuroML for plug and play neuronal modeling. Neurocomputing. 44-46. 1077–1081. 4 indexed citations

18.

Deary, Ian J., Enrico Simonotto, Alan Marshall, et al.. (2001). The functional anatomy of inspection time: a pilot fMRI study. Intelligence. 29(6). 497–510. 16 indexed citations

19.

McClelland, James L. & Nigel Goddard. (1996). Considerations arising from a complementary learning systems perspective on hippocampus and neocortex. Hippocampus. 6(6). 654–665. 168 indexed citations

20.

Goddard, Nigel. (1992). The Perception of Articulated Motion: Recognizing Moving Light Displays. Defense Technical Information Center (DTIC). 37 indexed citations

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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