M. Stone

16.7k total citations · 2 hit papers
88 papers, 11.9k citations indexed

About

M. Stone is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, M. Stone has authored 88 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 9 papers in Infectious Diseases. Recurrent topics in M. Stone's work include Advanced Statistical Methods and Models (13 papers), Bayesian Methods and Mixture Models (8 papers) and Leprosy Research and Treatment (8 papers). M. Stone is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Bayesian Methods and Mixture Models (8 papers) and Leprosy Research and Treatment (8 papers). M. Stone collaborates with scholars based in United Kingdom, United States and Australia. M. Stone's co-authors include Randall Brooks, A. P. Dawid, Clinton M. Astle, David E. Harrison, James A. Brown, James V. Zidek, Thomas S. Ferguson, Ian Sutherland, James A. Angus and S. S. Wilks and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

M. Stone

83 papers receiving 10.9k citations

Hit Papers

Cross-Validatory Choice and Assessment of Statistical Pre... 1974 2026 1991 2008 1974 1977 2.5k 5.0k 7.5k

Peers

M. Stone
Comparison fields: 5 of 231
  • Artificial Intelligence 2.3k
  • Statistics and Probability 1.9k
  • Sociology and Political Science 1.1k
  • Management Science and Operations Research 812
  • Marketing 778
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Citations per field, relative to M. Stone
M. Stone · 1×
Citations per year, relative to M. Stone
M. Stone · 1×

Countries citing papers authored by M. Stone

Since Specialization
Citations

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

Fields of papers citing papers by M. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Stone

This figure shows the co-authorship network connecting the top 25 collaborators of M. Stone. A scholar is included among the top collaborators of M. Stone 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 M. Stone. M. Stone 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
# Work Indexed citations
1 1
2 46
3 109
4 4
5 7
6
Comparative assay of histamine H2-receptor antagonists using the isolated mouse stomach [proceedings].
4
7
COMPARATIVE ASSAY OF HISTAMINE H-2-RECEPTOR ANTAGONISTS USING ISOLATED MOUSE STOMACH
1
8 142
9 41
10 19
11
An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike's Criterion breakdown →
807
12 298
13
Cross-Validatory Choice and Assessment of Statistical Predictions breakdown →
7574
14 2
15 23
16 13
17 1
18 53
19 6
20 9

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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