Stephen J. Weddell

583 total citations
53 papers, 426 citations indexed

About

Stephen J. Weddell is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Stephen J. Weddell has authored 53 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atomic and Molecular Physics, and Optics, 19 papers in Electrical and Electronic Engineering and 16 papers in Cognitive Neuroscience. Recurrent topics in Stephen J. Weddell's work include Adaptive optics and wavefront sensing (24 papers), EEG and Brain-Computer Interfaces (12 papers) and Optical Systems and Laser Technology (12 papers). Stephen J. Weddell is often cited by papers focused on Adaptive optics and wavefront sensing (24 papers), EEG and Brain-Computer Interfaces (12 papers) and Optical Systems and Laser Technology (12 papers). Stephen J. Weddell collaborates with scholars based in New Zealand, Australia and Germany. Stephen J. Weddell's co-authors include Richard D. Jones, Andrew Lapthorn, Abdolrahman Peimankar, Philip J. Bones, Junaid Ahmed, Andrew Lambert, Matthew D. Arnold, Joshua B. Mallinson, Susant Kumar Acharya and S. A. Brown and has published in prestigious journals such as Nano Letters, IEEE Access and Applied Soft Computing.

In The Last Decade

Stephen J. Weddell

48 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen J. Weddell New Zealand	11	170	147	116	66	56	53	426
M. A. Rashid Malaysia	13	183 1.1×	108 0.7×	95 0.8×	31 0.5×	115 2.1×	64	555
Dunshan Yu China	11	251 1.5×	72 0.5×	92 0.8×	16 0.2×	49 0.9×	90	472
Tariq Alshawi Saudi Arabia	11	189 1.1×	182 1.2×	119 1.0×	15 0.2×	15 0.3×	25	488
Seedahmed S. Mahmoud Australia	13	136 0.8×	97 0.7×	72 0.6×	36 0.5×	142 2.5×	57	487
Meili Lu China	9	131 0.8×	164 1.1×	111 1.0×	12 0.2×	27 0.5×	43	477
A. Amalin Prince India	10	68 0.4×	88 0.6×	44 0.4×	10 0.2×	107 1.9×	51	434
Trilochan Panigrahi India	13	209 1.2×	138 0.9×	81 0.7×	22 0.3×	28 0.5×	77	612
Kosai Raoof France	15	372 2.2×	61 0.4×	70 0.6×	13 0.2×	103 1.8×	75	686
Barry Cardiff Ireland	14	242 1.4×	111 0.8×	75 0.6×	16 0.2×	251 4.5×	68	595

Countries citing papers authored by Stephen J. Weddell

Since Specialization

Citations

This map shows the geographic impact of Stephen J. Weddell'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 Stephen J. Weddell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Weddell more than expected).

Fields of papers citing papers by Stephen J. Weddell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Weddell. 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 Stephen J. Weddell. The network helps show where Stephen J. Weddell may publish in the future.

Co-authorship network of co-authors of Stephen J. Weddell

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Weddell. A scholar is included among the top collaborators of Stephen J. Weddell 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 Stephen J. Weddell. Stephen J. Weddell 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

Buriro, Attaullah, et al.. (2025). WideConvNet: A Novel Wide Convolutional Neural Network Applied to ERP-Based Classification of Alcoholics. IEEE Access. 13. 31257–31268. 1 indexed citations

Johnson, Emma C., Stephen J. Weddell, Joe Chen, & Richard Clare. (2024). Design and Prototype of a High Order Adaptive Optics System for University of Canterbury's 0.61m Boller & Chivens Telescope. 1–6.

Clare, Richard, et al.. (2022). Direct model-based wavefront sensorless method with a fixed number of measurements. Optics Continuum. 1(12). 2460–2460. 1 indexed citations

Clare, Richard, et al.. (2021). Prism matching for piston segmentation correction with adaptive optics systems on extremely large telescopes. University of Canterbury Research Repository (University of Canterbury). 9909. 1–6. 1 indexed citations

Jones, Richard D., et al.. (2021). Detection of microsleep states from the EEG: a comparison of feature reduction methods. Medical & Biological Engineering & Computing. 59(7-8). 1643–1657. 7 indexed citations

Clare, Richard, Stephen J. Weddell, & Miska Le Louarn. (2020). Mitigation of truncation effects in elongated Shack–Hartmann laser guide star wavefront sensor images. Applied Optics. 59(22). 6431–6431. 2 indexed citations

Clare, Richard, et al.. (2020). Wavefront reconstruction with the cone sensor. 9909. 1–6. 1 indexed citations

Kumar, V. R. Sanal, et al.. (2020). Theoretical studies on space debris recycling and energy conversion system in the International Space Station. Engineering Reports. 3(5). 8 indexed citations

Weddell, Stephen J., et al.. (2018). Effects of the telescope spider on extreme adaptive optics systems with pyramid wavefront sensors. 8444. 198–198. 7 indexed citations

10.

Weddell, Stephen J., et al.. (2018). Predicting Microsleep States Using EEG Inter-Channel Relationships. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(12). 2260–2269. 18 indexed citations

11.

Peimankar, Abdolrahman, et al.. (2018). Multi-objective ensemble forecasting with an application to power transformers. Applied Soft Computing. 68. 233–248. 43 indexed citations

12.

Bones, Philip J., et al.. (2017). A software framework for real-time multi-modal detection of microsleeps. Australasian Physical & Engineering Sciences in Medicine. 40(3). 739–749. 1 indexed citations

13.

Peimankar, Abdolrahman, et al.. (2017). Evolutionary multi-objective fault diagnosis of power transformers. Swarm and Evolutionary Computation. 36. 62–75. 62 indexed citations

14.

Lambert, Andrew, et al.. (2016). Practical application of the geometric wavefront sensor for adaptive optics. 434. 1–5. 1 indexed citations

15.

Peimankar, Abdolrahman, et al.. (2016). Ensemble classifier selection using multi-objective PSO for fault diagnosis of power transformers. 3622–3629. 16 indexed citations

16.

Innes, Carrie, et al.. (2014). Optimal EEG feature selection from average distance between events and non-events. PubMed. 31. 2641–2644. 4 indexed citations

17.

Jones, Richard D., et al.. (2014). EEG-based event detection using optimized echo state networks with leaky integrator neurons. PubMed. 304. 5856–5859. 2 indexed citations

18.

Weddell, Stephen J., et al.. (2014). EEG-based microsleep detection using supervised learning. 1 indexed citations

19.

Bones, Philip J., et al.. (2012). A miniature head-mounted camera for measuring eye closure. University of Canterbury Research Repository (University of Canterbury). 313–318. 2 indexed citations

20.

Weddell, Stephen J., et al.. (2006). Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy. 68–68. 3 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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