Oliver Williams

773 total citations
10 papers, 505 citations indexed

About

Oliver Williams is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Oliver Williams has authored 10 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Oliver Williams's work include Gaussian Processes and Bayesian Inference (3 papers), Advanced Vision and Imaging (2 papers) and Financial Markets and Investment Strategies (1 paper). Oliver Williams is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Advanced Vision and Imaging (2 papers) and Financial Markets and Investment Strategies (1 paper). Oliver Williams collaborates with scholars based in United Kingdom, United States and Australia. Oliver Williams's co-authors include Andrew Blake, Roberto Cipolla, John D. Davis, Andrew Fitzgibbon, Frank McSherry, Michael Isard, John MacCormick, Edward Snelson, Stephen Satchell and Karine Arrhenius and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Forecasting and Accreditation and Quality Assurance.

In The Last Decade

Oliver Williams

10 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Williams United Kingdom	7	206	136	97	68	56	10	505
Dongkyung Nam South Korea	10	171 0.8×	60 0.4×	176 1.8×	11 0.2×	13 0.2×	53	498
Guanglou Zheng Australia	16	362 1.8×	89 0.7×	16 0.2×	22 0.3×	33 0.6×	28	874
Luís A. da Silva Cruz Portugal	18	1.2k 6.0×	77 0.6×	22 0.2×	14 0.2×	14 0.3×	121	1.6k
Wael AbdAlmageed United States	19	1.2k 5.8×	293 2.2×	42 0.4×	5 0.1×	41 0.7×	60	1.4k
Hiroshi Sako Japan	13	868 4.2×	404 3.0×	59 0.6×	11 0.2×	16 0.3×	45	1.1k
Tarik Arici United States	10	881 4.3×	54 0.4×	100 1.0×	15 0.2×	27 0.5×	16	1.1k
Sonia Mota Spain	10	180 0.9×	118 0.9×	9 0.1×	16 0.2×	32 0.6×	23	410
Zheng Lu China	13	636 3.1×	103 0.8×	36 0.4×	5 0.1×	31 0.6×	37	770
Kuizhi Mei China	11	247 1.2×	129 0.9×	33 0.3×	28 0.4×	37 0.7×	63	426

Countries citing papers authored by Oliver Williams

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Williams

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Arrhenius, Karine, Charles W. Bamforth, Oliver Williams, et al.. (2025). Implementation of a validation protocol to ensure a reliable assessment of the biomethane quality: practical demonstration of its fit-for-purpose using ISO 2620:2024 to comply with the requirements set in the EN 16723 standards. Accreditation and Quality Assurance. 30(6). 707–719. 1 indexed citations

2.

Satchell, Stephen & Oliver Williams. (2015). On the Difficulty of Measuring Forecasting Skill in Financial Markets. Journal of Forecasting. 34(2). 92–113. 1 indexed citations

3.

Williams, Oliver & Frank McSherry. (2010). Probabilistic Inference and Differential Privacy. Neural Information Processing Systems. 23. 2451–2459. 51 indexed citations

4.

Davis, John D., et al.. (2010). BLAS Comparison on FPGA, CPU and GPU. 288–293. 108 indexed citations

5.

Snelson, Edward, et al.. (2007). Sensible Priors for Sparse Bayesian Learning. 13. 2 indexed citations

6.

Williams, Oliver & Andrew Fitzgibbon. (2006). Gaussian Process Implicit Surfaces. 94(7). 984–988. 63 indexed citations

7.

Williams, Oliver, Andrew Blake, & Roberto Cipolla. (2006). Sparse and Semi-supervised Visual Mapping with the S^3GP. 1. 230–237. 100 indexed citations

8.

Williams, Oliver, Andrew Blake, & Roberto Cipolla. (2005). Sparse Bayesian learning for efficient visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(8). 1292–1304. 151 indexed citations

9.

Williams, Oliver, Michael Isard, & John MacCormick. (2005). Estimating Disparity and Occlusions in Stereo Video Sequences. 2. 250–257. 22 indexed citations

10.

Williams, Oliver, Andrew Blake, & Roberto Cipolla. (2004). The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data. Cambridge University Engineering Department Publications Database. 17. 1497–1504. 6 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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