Oliver Williams

782 citations
11 papers · 504 · h-index 7

Impact in

Papers in

Oliver Williams

10 papers receiving 492 citations

Peers

Oliver Williams
Comparison fields: 5 of 66
  • Human-Computer Interaction 97
  • Hardware and Architecture 68
  • Computer Vision and Pattern Recognition 205
  • Urban Studies 38
  • Ophthalmology 48
Replace Dongkyung Nam with:
Dongkyung Nam South Korea
Luís A. da Silva Cruz Portugal
Hiroshi Sako Japan
Jeroen van der Hooft Belgium
Tarik Arici United States
Pedro Assunção Portugal
Zeqi Lai China
Zheng Lu China
Oliver Williams relative to Dongkyung Nam South Korea Dongkyung Nam's profile →
Citations per field
00.5×9.6×
Dongkyung Nam · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Oliver Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oliver Williams Line = papers co-authored together Oliver Williams links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005150
2 2010108
3 2006100
4 200663
5
Probabilistic Inference and Differential Privacy
201051
6 200522
7
The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data
20046
8
Sensible Priors for Sparse Bayesian Learning
20072
9 20251
10 20151
11 20250

About Oliver Williams

Oliver Williams is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Biomedical Engineering, having authored 11 papers that have together received 504 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (3 papers), Advanced Vision and Imaging (2 papers), Vehicle emissions and performance (1 paper), Image Enhancement Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper), Embedded Systems Design Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Control Systems and Identification (1 paper). The work is most often cited by research in Human-Computer Interaction (97 citations), Hardware and Architecture (68 citations), Computer Vision and Pattern Recognition (205 citations), Urban Studies (38 citations) and Ophthalmology (48 citations). Oliver Williams has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Roberto Cipolla, Andrew Blake, John D. Davis, Andrew Fitzgibbon, Frank McSherry, Michael Isard, John MacCormick, Edward Snelson, Stephen Satchell and Karine Arrhenius. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Forecasting, Accreditation and Quality Assurance, Organic Process Research & Development and Cambridge University Engineering Department Publications Database.

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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