I C G Campbell

1.0k total citations
10 papers, 667 citations indexed

About

I C G Campbell is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Health Information Management. According to data from OpenAlex, I C G Campbell has authored 10 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Civil and Structural Engineering and 1 paper in Health Information Management. Recurrent topics in I C G Campbell's work include Machine Learning and Algorithms (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Artificial Intelligence in Healthcare (1 paper). I C G Campbell is often cited by papers focused on Machine Learning and Algorithms (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Artificial Intelligence in Healthcare (1 paper). I C G Campbell collaborates with scholars based in . I C G Campbell's co-authors include Nello Cristianini, K Veropoulos, Consuelo Vicente, Ralf Herbrich, Alex Smola and John Shawe‐Taylor and has published in prestigious journals such as Bristol Research (University of Bristol) and UCL Discovery (University College London).

In The Last Decade

I C G Campbell

10 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I C G Campbell 8 427 182 82 76 53 10 667
Pablo Bermejo Spain 10 336 0.8× 136 0.7× 78 1.0× 52 0.7× 30 0.6× 26 591
K Veropoulos United Kingdom 6 360 0.8× 218 1.2× 77 0.9× 70 0.9× 36 0.7× 6 716
Shohei Hido Japan 12 590 1.4× 151 0.8× 34 0.4× 77 1.0× 128 2.4× 15 825
Panayiotis Pintelas Greece 5 426 1.0× 71 0.4× 50 0.6× 92 1.2× 38 0.7× 7 702
Katsuari Kamei Japan 8 391 0.9× 71 0.4× 32 0.4× 76 1.0× 40 0.8× 58 601
Lipo Wang Singapore 12 268 0.6× 117 0.6× 41 0.5× 64 0.8× 42 0.8× 14 499
K. Woods United States 8 754 1.8× 369 2.0× 54 0.7× 41 0.5× 110 2.1× 16 1.1k
Xuewen Chen United States 8 357 0.8× 99 0.5× 71 0.9× 33 0.4× 27 0.5× 19 507
Xuemei Ding United Kingdom 16 283 0.7× 269 1.5× 47 0.6× 73 1.0× 32 0.6× 43 793

Countries citing papers authored by I C G Campbell

Since Specialization
Citations

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

Fields of papers citing papers by I C G Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I C G Campbell

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

All Works

10 of 10 papers shown
1.
Herbrich, Ralf, et al.. (2000). Robust Bayes Point Machines. UCL Discovery (University College London). 49–54. 7 indexed citations
2.
Campbell, I C G. (2000). Radial Basis Function Networks: Design and Applications. 16 indexed citations
3.
Campbell, I C G, Nello Cristianini, & Alex Smola. (2000). Proc.17th Int Conference on Machine Learning. 9 indexed citations
4.
Herbrich, Ralf, et al.. (1999). Bayes Point Machines: Estimating the Bayes Point in Kernel Space. Bristol Research (University of Bristol). 23–27. 25 indexed citations
5.
Veropoulos, K, I C G Campbell, & Nello Cristianini. (1999). Controlling the Sensitivity of Support Vector Machines. Bristol Research (University of Bristol). 55–60. 487 indexed citations
6.
Veropoulos, K, Nello Cristianini, & I C G Campbell. (1999). The Application of Support Vector Machines to Medical decision Support: A Case Study. Bristol Research (University of Bristol). 30 indexed citations
7.
Cristianini, Nello, I C G Campbell, & John Shawe‐Taylor. (1999). Multiplicative Updatings for Support Vector Machines. Bristol Research (University of Bristol). 189–194. 3 indexed citations
8.
Herbrich, Ralf, et al.. (1999). Bayesian Learning in Reproducing Kernel Hilbert Spaces: The Usefulness of the Bayes Point. Bristol Research (University of Bristol). 3 indexed citations
9.
Cristianini, Nello, et al.. (1998). The Kernel-Adatron : A fast and simple learning procedure for support vector machines. 61 indexed citations
10.
Campbell, I C G & Consuelo Vicente. (1995). European Symposium on Artificial Neural Networks ESANN '95. 26 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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