Ian Davidson

7.2k total citations
201 papers, 3.9k citations indexed

About

Ian Davidson is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ian Davidson has authored 201 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 75 papers in Electrical and Electronic Engineering and 38 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ian Davidson's work include Photonic Crystal and Fiber Optics (58 papers), Advanced Fiber Optic Sensors (33 papers) and Optical Network Technologies (32 papers). Ian Davidson is often cited by papers focused on Photonic Crystal and Fiber Optics (58 papers), Advanced Fiber Optic Sensors (33 papers) and Optical Network Technologies (32 papers). Ian Davidson collaborates with scholars based in United States, United Kingdom and Netherlands. Ian Davidson's co-authors include S. S. Ravi, Xingquan Zhu, Buyue Qian, Sugato Basu, Kiri L. Wagstaff, Jieping Ye, Francesco Poletti, Xiang Wang, Gregory T. Jasion and Sethuraman Panchanathan and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and American Journal of Psychiatry.

In The Last Decade

Ian Davidson

183 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian Davidson United States	33	1.9k	963	925	564	351	201	3.9k
Gang Wang China	38	1.2k 0.6×	1.4k 1.5×	696 0.8×	289 0.5×	514 1.5×	346	5.3k
K.F. Man Hong Kong	35	1.9k 1.0×	2.0k 2.0×	610 0.7×	374 0.7×	158 0.5×	187	6.5k
Zhengdong Lu China	29	2.0k 1.1×	406 0.4×	954 1.0×	126 0.2×	336 1.0×	76	3.2k
P. A. Estévez Chile	28	1.4k 0.7×	358 0.4×	923 1.0×	394 0.7×	204 0.6×	131	3.5k
Daniel Boley United States	26	964 0.5×	258 0.3×	731 0.8×	296 0.5×	341 1.0×	117	3.0k
Abdullah M. Iliyasu Saudi Arabia	32	2.3k 1.2×	304 0.3×	1.2k 1.3×	156 0.3×	413 1.2×	105	3.8k
Peter Tiňo United Kingdom	32	2.3k 1.2×	932 1.0×	542 0.6×	352 0.6×	137 0.4×	201	4.2k
Chunlin Chen China	32	1.6k 0.8×	661 0.7×	782 0.8×	104 0.2×	96 0.3×	203	3.3k
Pin‐Yu Chen United States	32	2.4k 1.3×	453 0.5×	546 0.6×	446 0.8×	258 0.7×	230	4.0k

Countries citing papers authored by Ian Davidson

Since Specialization

Citations

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

Fields of papers citing papers by Ian Davidson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Davidson. 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 Ian Davidson. The network helps show where Ian Davidson may publish in the future.

Co-authorship network of co-authors of Ian Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Davidson. A scholar is included among the top collaborators of Ian Davidson 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 Ian Davidson. Ian Davidson 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

Mulvad, Hans Christian Hansen, Ian Davidson, Vicki Smith, et al.. (2025). Measurement of Radiation-induced Attenuation in Visible-guiding Hollow Core Optical Fibres. ePrints Soton (University of Southampton). 1–1.

Davidson, Ian, et al.. (2024). Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging Data. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 868–877.

Davidson, Ian, Peter Johnson, Gregory T. Jasion, et al.. (2024). Double-Clad Antiresonant Hollow-Core Fiber and Its Comparison with Other Fibers for Multiphoton Micro-Endoscopy. Sensors. 24(8). 2482–2482. 2 indexed citations

Taranta, Austin, Seyed Mohammad Abokhamis Mousavi, Gregory T. Jasion, et al.. (2024). Bending and Temperature Dependence of Polarization Mode Dispersion in Nodeless Antiresonant Hollow Core Fibers. SoM3F.4–SoM3F.4. 1 indexed citations

Davidson, Ian, Greg Jackson, Gregory T. Jasion, et al.. (2023). Next Generation UV-Visible Single-Mode Fibers. ePrints Soton (University of Southampton). STh3G.1–STh3G.1. 1 indexed citations

Davidson, Ian, et al.. (2023). Mode attraction, rejection and control in nonlinear multimode optics. Nature Communications. 14(1). 7704–7704. 11 indexed citations

Davidson, Ian, Ghafour Amouzad Mahdiraji, Eric Numkam Fokoua, et al.. (2023). Optimizing Hollow Core Fibers for Stable Interferometry. ePrints Soton (University of Southampton). 1–2. 1 indexed citations

Davidson, Ian, et al.. (2021). Generic Constraint-based Block Modeling using Constraint Programming. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations

Smucny, Jason, Ian Davidson, & Cameron S. Carter. (2020). Comparing machine and deep learning‐based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging. Human Brain Mapping. 42(4). 1197–1205. 26 indexed citations

10.

Davidson, Ian, et al.. (2020). Constraint Programming for an Efficient and Flexible Block Modeling Solver. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13685–13688. 1 indexed citations

11.

Sakr, Hesham, Kyle R. H. Bottrill, Natsupa Taengnoi, et al.. (2019). Interband Short Reach Data Transmission in Ultrawide Bandwidth Hollow Core Fiber. Journal of Lightwave Technology. 38(1). 159–165. 74 indexed citations

12.

Davidson, Ian, Matthew Partridge, J. R. Hayes, et al.. (2019). Tubular anti-resonant hollow core fiber for visible Raman spectroscopy. ePrints Soton (University of Southampton). 3 indexed citations

13.

Zhang, Hongjing, Sugato Basu, & Ian Davidson. (2019). Deep Constrained Clustering - Algorithms and Advances.. arXiv (Cornell University). 6 indexed citations

14.

Cheng, Minhao, Ian Davidson, & Cho‐Jui Hsieh. (2018). Extreme Learning to Rank via Low Rank Assumption. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 950–959. 1 indexed citations

15.

Chattopadhyay, Rita, Wei Fan, Ian Davidson, Sethuraman Panchanathan, & Jieping Ye. (2013). Joint Transfer and Batch-mode Active Learning. International Conference on Machine Learning. 253–261. 49 indexed citations

16.

Davidson, Ian. (2009). Knowledge driven dimension reduction for clustering. International Joint Conference on Artificial Intelligence. 1034–1039. 15 indexed citations

17.

Wagstaff, Kiri L., Sugato Basu, & Ian Davidson. (2006). When is constrained clustering beneficial, and why?. National Conference on Artificial Intelligence. 36 indexed citations

18.

Davidson, Ian. (2004). An ensemble technique for stable learners with performance bounds. National Conference on Artificial Intelligence. 330–335. 7 indexed citations

19.

Davidson, Ian, et al.. (2004). Using the Central Limit Theorem for Belief Network Learning.. Annals of Mathematics and Artificial Intelligence. 2 indexed citations

20.

Davidson, Ian, et al.. (2003). Searching For Hidden Messages: Automatic Detection of Steganography. Innovative Applications of Artificial Intelligence. 51–56. 16 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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