Campbell Wilson

1.2k total citations
48 papers, 665 citations indexed

About

Campbell Wilson is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Campbell Wilson has authored 48 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Campbell Wilson's work include Image Retrieval and Classification Techniques (8 papers), Machine Fault Diagnosis Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Campbell Wilson is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Machine Fault Diagnosis Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Campbell Wilson collaborates with scholars based in Australia, United States and United Kingdom. Campbell Wilson's co-authors include Iqbal Gondal, Muhammad Amar, Mark Carman, A. W. Asscher, Phu Dung Le, James C. Whisstock, Balasubramaniam Srinivasan, Jiangning Song, Ying Xu and Bala Srinivasan and has published in prestigious journals such as The Lancet, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Campbell Wilson

48 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Campbell Wilson Australia 13 185 129 98 87 77 48 665
Mahmood Al-khassaweneh United States 12 92 0.5× 47 0.4× 118 1.2× 41 0.5× 112 1.5× 48 511
Z. Faizal Khan Saudi Arabia 9 114 0.6× 74 0.6× 63 0.6× 38 0.4× 52 0.7× 24 414
Shihab A. Hameed Malaysia 20 48 0.3× 40 0.3× 99 1.0× 89 1.0× 98 1.3× 93 1.3k
María Teresa Garcí­a-Ordás Spain 16 25 0.1× 140 1.1× 202 2.1× 21 0.2× 64 0.8× 47 727
Xing He United States 12 58 0.3× 26 0.2× 369 3.8× 35 0.4× 68 0.9× 46 792
Won-Chul Bang South Korea 14 102 0.6× 36 0.3× 290 3.0× 16 0.2× 321 4.2× 48 978
Tianmei Li China 18 406 2.2× 152 1.2× 56 0.6× 9 0.1× 15 0.2× 49 975
Chien-Cheng Lee Taiwan 12 95 0.5× 24 0.2× 244 2.5× 19 0.2× 229 3.0× 63 641
Lucy Hutchinson Switzerland 8 21 0.1× 30 0.2× 122 1.2× 26 0.3× 24 0.3× 10 609
Solveig Badillo France 6 21 0.1× 30 0.2× 113 1.2× 26 0.3× 24 0.3× 11 591

Countries citing papers authored by Campbell Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Campbell Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Campbell Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Campbell Wilson. A scholar is included among the top collaborators of Campbell Wilson 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 Campbell Wilson. Campbell Wilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dunne, Eileen M., William L. Lowe, Campbell Wilson, et al.. (2025). Indirect Comparison of PCV20 Immunogenicity with PCV10 in Pediatric 3 + 1 and 2 + 1 Schedules. Infectious Diseases and Therapy. 14(5). 1103–1117. 2 indexed citations
2.
Nguyen, Thanh Thi, et al.. (2024). Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts. 613–618. 17 indexed citations
3.
Xu, Ying, Jiangning Song, Campbell Wilson, & James C. Whisstock. (2018). PhosContext2vec: a distributed representation of residue-level sequence contexts and its application to general and kinase-specific phosphorylation site prediction. Scientific Reports. 8(1). 8240–8240. 28 indexed citations
4.
Wilson, Campbell, et al.. (2015). Monte-Carlo Filesystem Search – A crawl strategy for digital forensics. Digital Investigation. 13. 58–71. 4 indexed citations
5.
Amar, Muhammad, Iqbal Gondal, Campbell Wilson, & Y. Ahmet Şekercioğlu. (2015). Translation Invariant Features from Cascaded Wavelet and Fourier Transforms for Bearing Fault Pattern Recognition Using Artificial Neural Network. International Journal of Machine Learning and Computing. 5(1). 12–16. 3 indexed citations
6.
He, Shan, Ariel Liebman, Andrea Rendl, Mark Wallace, & Campbell Wilson. (2014). Modelling RTP-based residential load scheduling for demand response in smart grids. 36–51. 4 indexed citations
7.
Amar, Muhammad, Iqbal Gondal, & Campbell Wilson. (2013). Multi-size-window spectral augmentation: Neural network bearing fault classifier. FedUni ResearchOnline (Federation University Australia). rd. 261–266. 2 indexed citations
8.
Nguyen, Bang, Frada Burstein, Julie Fisher, & Campbell Wilson. (2011). Taxonomy of usage problems for improving user-centric online health information provision. Americas Conference on Information Systems. 1–11. 5 indexed citations
9.
Le, Phu Dung, et al.. (2010). Dynamic Key Cryptography and Applications. International journal of network security. 10(3). 161–174. 37 indexed citations
10.
Wilson, Campbell, et al.. (2010). Modified Ais-Based Classifier For Music Genre Classification.. Zenodo (CERN European Organization for Nuclear Research). 369–374. 2 indexed citations
11.
Le, Phu Dung, et al.. (2008). A method for authentication services in wireless networks. Journal of the Association for Information Systems. 1–9. 4 indexed citations
12.
Wilson, Campbell, et al.. (2003). Modelling relevance feedback using Rough Sets. Swinburne Research Bank (Swinburne University of Technology). 495–499. 2 indexed citations
13.
Wilson, Campbell, Bala Srinivasan, Sid Ray, & Maria Indrawan. (2000). Colour Image Retrieval Using Bayesian Networks. 42–46. 2 indexed citations
14.
Wilson, Campbell, Bala Srinivasan, & Maria Indrawan. (2000). Relevance Feedback in An Image Retrieval system Based on Bayesian Networks. 1 indexed citations
15.
Indrawan, Maria, Campbell Wilson, & Bala Srinivasan. (1999). Relevance feedback in an information retrieval system based on Bayesian belief networks. 266–271. 1 indexed citations
16.
Michelson, David, et al.. (1994). An eosinophilia-myalgia syndrome related disorder associated with exposure to L-5-hydroxytryptophan.. PubMed. 21(12). 2261–5. 33 indexed citations
17.
Wilson, Campbell & D.N. Swingler. (1993). Frequency estimation performance of several weighted Burg algorithms. IEEE Transactions on Signal Processing. 41(3). 1237–1247. 4 indexed citations
18.
Wilson, Campbell, et al.. (1965). Lung Purpura With Nephritis. Annual Review of Medicine. 16(1). 301–308. 15 indexed citations
19.
Wilson, Campbell. (1965). Recent advances in hypertension. The American Journal of Medicine. 39(4). 616–645. 10 indexed citations
20.
Wilson, Campbell. (1958). HYPERTENSION FOLLOWING X-IRRADIATION OF THE KIDNEYS. The Lancet. 271(7010). 9–16. 59 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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