Ryan Martin

1.0k total citations
63 papers, 470 citations indexed

About

Ryan Martin is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Ryan Martin has authored 63 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 40 papers in Statistics and Probability and 7 papers in Management Science and Operations Research. Recurrent topics in Ryan Martin's work include Bayesian Methods and Mixture Models (24 papers), Statistical Methods and Inference (24 papers) and Statistical Methods and Bayesian Inference (22 papers). Ryan Martin is often cited by papers focused on Bayesian Methods and Mixture Models (24 papers), Statistical Methods and Inference (24 papers) and Statistical Methods and Bayesian Inference (22 papers). Ryan Martin collaborates with scholars based in United States, Canada and United Kingdom. Ryan Martin's co-authors include Chuanhai Liu, Liang Hong, Surya T. Tokdar, Jayanta K. Ghosh, Zhe Wang, Zhen Han, Xu Gao, Subhashis Ghosal, Stephen G. Walker and Jonathan P. Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.

In The Last Decade

Ryan Martin

56 papers receiving 425 citations

Peers

Ryan Martin
Comparison fields: 5 of 55
  • Statistics and Probability 303
  • Artificial Intelligence 291
  • Management Science and Operations Research 88
  • Statistics, Probability and Uncertainty 72
  • Statistical and Nonlinear Physics 26
Replace Wolfgang Polonik with:
Wolfgang Polonik United States
Ivan Mizera Canada
Stephen G. Walker United Kingdom
Guido Consonni Italy
Myoungshic Jhun South Korea
C.-L. Tsai China
Athanasios C. Micheas United States
Minh‐Ngoc Tran Australia
Wei‐Liem Loh Singapore
Wolfgang Polonik United States View profile →
Citations per field, relative to Ryan Martin
Ryan Martin · 1×
Citations per year, relative to Ryan Martin
Ryan Martin · 1×

Countries citing papers authored by Ryan Martin

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Martin. A scholar is included among the top collaborators of Ryan Martin 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 Ryan Martin. Ryan Martin 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 0
2 1
3 0
4 0
5 1
6 2
7 2
8 3
9 9
10
Possibility Measures for Valid Statistical Inference Based on Censored Data
0
11
Validity-Preservation Properties of Rules for Combining Inferential Models
0
12
Incorporating Expert Opinion in an Inferential Model while Maintaining Validity
2
13 27
14 1
15
Asymptotically optimal empirical Bayes inference in a piecewise constant sequence model
2
16 0
17 8
18
Foundations of statistical inference, revisited
2
19 3
20
A hybrid stochastic approximation-simulated annealing approach for estimating finite mixtures
1

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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