Martin Anthony

4.3k total citations · 1 hit paper
76 papers, 2.2k citations indexed

About

Martin Anthony is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Anthony has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Anthony's work include Machine Learning and Algorithms (54 papers), Machine Learning and Data Classification (23 papers) and Neural Networks and Applications (23 papers). Martin Anthony is often cited by papers focused on Machine Learning and Algorithms (54 papers), Machine Learning and Data Classification (23 papers) and Neural Networks and Applications (23 papers). Martin Anthony collaborates with scholars based in United Kingdom, Israel and Australia. Martin Anthony's co-authors include Peter L. Bartlett, John Shawe‐Taylor, Robert C. Williamson, Norman Biggs, Joel Ratsaby, Graham Brightwell, Sean B. Holden, Yves Crama, Endre Boros and N. L. Biggs and has published in prestigious journals such as IEEE Transactions on Information Theory, Neural Networks and Journal of Machine Learning Research.

In The Last Decade

Martin Anthony

71 papers receiving 2.0k citations

Hit Papers

Neural network learning theoretical foundations 1999 2026 2008 2017 1999 200 400 600
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. Neural network learning theoretical foundations
    1999 692 citations Martin Anthony et al. London School of Economics and Political Science Research Online (London School of Economics and Political Science) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Anthony United Kingdom 18 1.6k 504 359 186 172 76 2.2k
Alexey Chervonenkis United Kingdom 8 1.1k 0.7× 295 0.6× 368 1.0× 100 0.5× 142 0.8× 12 1.9k
C.A. Murthy India 25 1.6k 1.0× 1.4k 2.7× 263 0.7× 94 0.5× 182 1.1× 104 3.1k
Věra Kůrková Czechia 21 937 0.6× 315 0.6× 234 0.7× 136 0.7× 340 2.0× 66 1.7k
Joaquin Quiñonero-Candela Germany 12 1.2k 0.7× 286 0.6× 274 0.8× 126 0.7× 496 2.9× 20 1.9k
P. Tseng United States 12 592 0.4× 576 1.1× 314 0.9× 311 1.7× 159 0.9× 15 2.3k
Bharath K. Sriperumbudur United States 19 1.2k 0.7× 492 1.0× 106 0.3× 284 1.5× 277 1.6× 50 2.5k
Kai Yu Germany 23 1.7k 1.0× 1.1k 2.3× 104 0.3× 110 0.6× 76 0.4× 48 2.8k
Marco Locatelli Italy 29 675 0.4× 261 0.5× 1.0k 2.9× 173 0.9× 317 1.8× 155 2.6k
Matthew Graham United Kingdom 2 930 0.6× 254 0.5× 110 0.3× 115 0.6× 80 0.5× 2 1.5k
Tianbao Yang United States 21 1.3k 0.8× 605 1.2× 87 0.2× 76 0.4× 77 0.4× 106 2.4k

Countries citing papers authored by Martin Anthony

Since Specialization
Citations

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

Fields of papers citing papers by Martin Anthony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Anthony

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Anthony. A scholar is included among the top collaborators of Martin Anthony 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 Martin Anthony. Martin Anthony 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.
Anthony, Martin & Norman Biggs. (2024). Mathematics for Economics and Finance. Cambridge University Press eBooks.
2.
Anthony, Martin & Joel Ratsaby. (2018). Large width nearest prototype classification on general distance spaces. Theoretical Computer Science. 738. 65–79. 1 indexed citations
3.
Anthony, Martin & Joel Ratsaby. (2018). Large-width bounds for learning half-spaces on distance spaces. Discrete Applied Mathematics. 243. 73–89. 3 indexed citations
4.
Anthony, Martin, et al.. (2016). Quadratization of symmetric pseudo-Boolean functions. Discrete Applied Mathematics. 203. 1–12. 11 indexed citations
5.
Anthony, Martin & Joel Ratsaby. (2015). A probabilistic approach to case-based inference. Theoretical Computer Science. 589. 61–75. 6 indexed citations
6.
Anthony, Martin & Joel Ratsaby. (2014). A hybrid classifier based on boxes and nearest neighbors. Discrete Applied Mathematics. 172. 1–11. 6 indexed citations
7.
Anthony, Martin & Joel Ratsaby. (2013). Learning bounds via sample width for classifiers on finite metric spaces. Theoretical Computer Science. 529. 2–10. 6 indexed citations
8.
Anthony, Martin & Joel Ratsaby. (2012). The performance of a new hybrid classifier based on boxes and nearest neighbors. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 5 indexed citations
9.
Anthony, Martin & Joel Ratsaby. (2012). Analysis of a multi-category classifier. Discrete Applied Mathematics. 160(16-17). 2329–2338. 4 indexed citations
10.
Anthony, Martin, et al.. (2011). A new imputation method for incomplete binary data. Discrete Applied Mathematics. 159(10). 1040–1047. 14 indexed citations
11.
Anthony, Martin, et al.. (2008). Using a similarity measure for credible classification. Discrete Applied Mathematics. 157(5). 1104–1112. 5 indexed citations
12.
Anthony, Martin & Peter L. Hammer. (2006). A Boolean measure of similarity. Discrete Applied Mathematics. 154(16). 2242–2246. 9 indexed citations
13.
Franco, Leonardo & Martin Anthony. (2006). The influence of oppositely classified examples on the generalization complexity of Boolean functions. PubMed. 17(3). 578–590. 7 indexed citations
14.
Anthony, Martin. (2004). Generalization Error Bounds for Threshold Decision Lists. Journal of Machine Learning Research. 5. 189–217. 14 indexed citations
15.
Anthony, Martin. (2004). On data classification by iterative linear partitioning. Discrete Applied Mathematics. 144(1-2). 2–16. 2 indexed citations
16.
Shawe‐Taylor, John & Martin Anthony. (1994). Computational learning theory : EuroCOLT '93 : based on the proceedings of the First European Conference on Computational Learning Theory, organized by the Institute of Mathematics and Its Applications and held at Royal Holloway, University of London in December, 1993. Oxford University Press eBooks. 1 indexed citations
17.
Anthony, Martin & Sean B. Holden. (1994). Quantifying Generalization in Linearly Weighted Neural Networks.. Complex Systems. 8. 11 indexed citations
18.
Anthony, Martin & John Shawe‐Taylor. (1993). A result of Vapnik with applications. Discrete Applied Mathematics. 47(3). 207–217. 31 indexed citations
19.
Anthony, Martin & Norman Biggs. (1992). Computational learning theory: an introduction. Cambridge University Press eBooks. 137 indexed citations
20.
Anthony, Martin, Norman Biggs, & John Shawe‐Taylor. (1990). The learnability of formal concepts. Conference on Learning Theory. 246–257. 21 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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