Michael E. Tipping

9.8k total citations · 4 hit papers
24 papers, 5.6k citations indexed

About

Michael E. Tipping is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Michael E. Tipping has authored 24 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Michael E. Tipping's work include Neural Networks and Applications (6 papers), Face and Expression Recognition (5 papers) and Image and Signal Denoising Methods (4 papers). Michael E. Tipping is often cited by papers focused on Neural Networks and Applications (6 papers), Face and Expression Recognition (5 papers) and Image and Signal Denoising Methods (4 papers). Michael E. Tipping collaborates with scholars based in United Kingdom, United States and Netherlands. Michael E. Tipping's co-authors include Chris Bishop, Anita Faul, David Lowe, C.M. Bishop, Yi Li, Colin Campbell, Neil D. Lawrence, Fotios Petropoulos, Djoerd Hiemstra and Hugo Zaragoza and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Michael E. Tipping

24 papers receiving 5.3k citations

Hit Papers

Probabilistic Principal Component Analysis 1999 2026 2008 2017 1999 1999 1999 2003 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Probabilistic Principal Component Analysis
    1999 2.3k citations Michael E. Tipping, Chris Bishop Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →
  2. Mixtures of Probabilistic Principal Component Analyzers
    1999 1.2k citations Michael E. Tipping, Chris Bishop profile →
  3. The Relevance Vector Machine
    1999 594 citations Michael E. Tipping Neural Information Processing Systems profile →
  4. Fast Marginal Likelihood Maximisation for Sparse Bayesian Models
    2003 532 citations Michael E. Tipping, Anita Faul International Conference on Artificial Intelligence and Statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Tipping United Kingdom 19 2.1k 1.9k 972 715 557 24 5.6k
Mika Sirén Germany 12 2.4k 1.1× 2.8k 1.5× 776 0.8× 664 0.9× 385 0.7× 17 5.9k
Michel Verleysen Belgium 44 4.1k 2.0× 2.5k 1.3× 1.0k 1.0× 522 0.7× 260 0.5× 287 8.7k
Vladimir Cherkassky United States 30 2.5k 1.2× 1.3k 0.7× 587 0.6× 871 1.2× 230 0.4× 128 6.9k
Lei Xu Hong Kong 30 2.3k 1.1× 2.1k 1.1× 1.1k 1.1× 499 0.7× 234 0.4× 189 5.2k
Olivier Bousquet France 32 3.6k 1.8× 3.1k 1.7× 543 0.6× 566 0.8× 584 1.0× 139 8.4k
Patrik O. Hoyer Finland 24 1.6k 0.8× 1.7k 0.9× 1.7k 1.7× 221 0.3× 677 1.2× 46 5.3k
Shigeo Abe Japan 31 3.0k 1.4× 2.1k 1.1× 641 0.7× 1.1k 1.5× 170 0.3× 198 7.4k
Adam Krzyżak Canada 35 3.4k 1.7× 2.7k 1.4× 722 0.7× 1.2k 1.6× 448 0.8× 213 7.3k
Francis Bach France 34 3.3k 1.6× 3.0k 1.6× 990 1.0× 363 0.5× 1.3k 2.4× 99 7.0k
Aristidis Likas Greece 34 2.8k 1.3× 2.1k 1.1× 799 0.8× 410 0.6× 453 0.8× 153 7.1k

Countries citing papers authored by Michael E. Tipping

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Tipping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Tipping. 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 Michael E. Tipping. The network helps show where Michael E. Tipping may publish in the future.

Co-authorship network of co-authors of Michael E. Tipping

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Tipping. A scholar is included among the top collaborators of Michael E. Tipping 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 Michael E. Tipping. Michael E. Tipping 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.
Petropoulos, Fotios, et al.. (2021). Understanding forecast reconciliation. European Journal of Operational Research. 294(1). 149–160. 49 indexed citations
2.
Tipping, Michael E. & Neil D. Lawrence. (2005). Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis. Neurocomputing. 69(1-3). 123–141. 67 indexed citations
3.
Tipping, Michael E. & Neil D. Lawrence. (2004). A variational approach to robust Bayesian interpolation. 1. 229–238. 12 indexed citations
4.
Tipping, Michael E. & Anita Faul. (2003). Fast Marginal Likelihood Maximisation for Sparse Bayesian Models. International Conference on Artificial Intelligence and Statistics. 276–283. 532 indexed citations breakdown →
5.
Zaragoza, Hugo, Djoerd Hiemstra, & Michael E. Tipping. (2003). Bayesian extension to the language model for ad hoc information retrieval. University of Twente Research Information. 4–9. 40 indexed citations
6.
Lawrence, Neil D. & Michael E. Tipping. (2003). Generalised Component Analysis. 2 indexed citations
7.
Bishop, Chris & Michael E. Tipping. (2003). Bayesian Regression and Classification. Edinburgh Research Explorer (University of Edinburgh). 190. 267–285. 91 indexed citations
8.
Zaragoza, Hugo, Djoerd Hiemstra, & Michael E. Tipping. (2003). Bayesian extension to the language model for ad hoc information retrieval. Radboud Repository (Radboud University). 1 indexed citations
9.
Tipping, Michael E. & Chris Bishop. (2002). Bayesian Image Super-Resolution. Neural Information Processing Systems. 15. 1303–1310. 149 indexed citations
10.
Li, Yi, Colin Campbell, & Michael E. Tipping. (2002). Bayesian automatic relevance determination algorithms for classifying geneexpression data. Bioinformatics. 18(10). 1332–1339. 125 indexed citations
11.
Tipping, Michael E. & Bernhard Schölkopf. (2001). A kernel approach for vector quantization with guaranteed distortion bounds. MPG.PuRe (Max Planck Society). 129–129. 21 indexed citations
12.
Tipping, Michael E.. (2000). Sparse Kernel Principal Component Analysis. Neural Information Processing Systems. 13. 633–639. 91 indexed citations
13.
Tipping, Michael E.. (1999). The Relevance Vector Machine. Neural Information Processing Systems. 12. 652–658. 594 indexed citations breakdown →
14.
Tipping, Michael E. & Chris Bishop. (1999). Probabilistic Principal Component Analysis. Journal of the Royal Statistical Society Series B (Statistical Methodology). 61(3). 611–622. 2266 indexed citations breakdown →
15.
Tipping, Michael E.. (1998). Probabilistic Visualisation of High-Dimensional Binary Data. Neural Information Processing Systems. 11. 592–598. 40 indexed citations
16.
Tipping, Michael E. & David Lowe. (1998). Shadow targets. Neurocomputing. 19(1-3). 211–222. 28 indexed citations
17.
Bishop, C.M. & Michael E. Tipping. (1998). A hierarchical latent variable model for data visualization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3). 281–293. 128 indexed citations
18.
Tipping, Michael E.. (1997). Mixtures of principal component analyzers. 1997. 13–18. 38 indexed citations
19.
Lowe, David & Michael E. Tipping. (1996). NeuroScale: Novel Topographic Feature Extraction using RBF Networks. Neural Information Processing Systems. 9. 543–549. 34 indexed citations
20.
Lowe, David & Michael E. Tipping. (1996). Feed-forward neural networks and topographic mappings for exploratory data analysis. Neural Computing and Applications. 4(2). 83–95. 84 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mika Sirén Breakdown of academic impact, for papers by Michel Verleysen Breakdown of academic impact, for papers by Vladimir Cherkassky Breakdown of academic impact, for papers by Lei Xu Breakdown of academic impact, for papers by Olivier Bousquet Breakdown of academic impact, for papers by Patrik O. Hoyer Breakdown of academic impact, for papers by Shigeo Abe Breakdown of academic impact, for papers by Adam Krzyżak Breakdown of academic impact, for papers by Francis Bach Breakdown of academic impact, for papers by Aristidis Likas
Rankless by CCL
2026