Ian Davidson
Impact in
- Computational Mathematics top 1%
- Artificial Intelligence top 0.5%
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
Papers in
-
- Advanced Clustering Algorithms Research 29
- Machine Learning and Data Classification 16
-
- Photonic Crystal and Fiber Optics 58
- Advanced Fiber Optic Sensors 33
- Optical Network Technologies 32
- Co-authors
- S. S. Ravi (10 shared papers)Xingquan Zhu (2 shared papers)Buyue Qian (21 shared papers)Sugato Basu (4 shared papers)Kiri L. Wagstaff (2 shared papers)Jieping Ye (12 shared papers)Francesco Poletti (57 shared papers)Xiang Wang (5 shared papers)
- Journals
- Optics Express (9 papers)Data Mining and Knowledge Discovery (7 papers)Journal of Lightwave Technology (3 papers)Nature Communications (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Ian Davidson
183 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 168
- Computational Mathematics 102
- Artificial Intelligence 1.9k
- Signal Processing 564
- Computer Vision and Pattern Recognition 925
- Statistical and Nonlinear Physics 291
Countries citing papers authored by Ian Davidson
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
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-authors
The 25 scholars most cited alongside Ian Davidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 253 | |
| 2 | 2007 | 221 | |
| 3 | 2005 | 158 | |
| 4 | 2020 | 147 | |
| 5 | 2012 | 138 | |
| 6 | 2010 | 129 | |
| 7 | 2012 | 110 | |
| 8 | 2022 | 93 | |
| 9 | 2020 | 88 | |
| 10 | 2016 | 76 | |
| 11 | 2019 | 74 | |
| 12 | Knowledge Discovery and Data Mining: Challenges and Realities | 2007 | 74 |
| 13 | 2009 | 65 | |
| 14 | 2021 | 64 | |
| 15 | Visual Data Mining : Techniques and Tools for Data Visualization and Mining | 2002 | 59 |
| 16 | 2013 | 55 | |
| 17 | 2008 | 55 | |
| 18 | 2011 | 55 | |
| 19 | 2018 | 54 | |
| 20 | 2013 | 52 |
About Ian Davidson
Ian Davidson is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Signal Processing and Computer Vision and Pattern Recognition, having authored 201 papers that have together received 3.9k indexed citations. Recurring topics across this work include Photonic Crystal and Fiber Optics (58 papers), Advanced Fiber Optic Sensors (33 papers), Optical Network Technologies (32 papers), Advanced Fiber Laser Technologies (31 papers), Advanced Clustering Algorithms Research (29 papers), Data Management and Algorithms (26 papers), Machine Learning and Data Classification (16 papers) and Data Mining Algorithms and Applications (16 papers). The work is most often cited by research in Computational Mathematics (102 citations), Artificial Intelligence (1.9k citations), Signal Processing (564 citations), Computer Vision and Pattern Recognition (925 citations) and Statistical and Nonlinear Physics (291 citations). Ian Davidson has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent 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. Their work appears in journals such as Optics Express, Data Mining and Knowledge Discovery, Journal of Lightwave Technology, Nature Communications and ACM Transactions on Knowledge Discovery from Data.
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.