D. G. T. Denison

1.7k total citations
22 papers, 1.1k citations indexed

About

D. G. T. Denison is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, D. G. T. Denison has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 3 papers in Signal Processing. Recurrent topics in D. G. T. Denison's work include Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (10 papers) and Statistical Methods and Bayesian Inference (3 papers). D. G. T. Denison is often cited by papers focused on Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (10 papers) and Statistical Methods and Bayesian Inference (3 papers). D. G. T. Denison collaborates with scholars based in United Kingdom, United States and Greece. D. G. T. Denison's co-authors include Bani K. Mallick, A. F. M. Smith, Chris Holmes, Andrew Lawson, Stephen Roberts, Andrew T. Walden, Niall M. Adams, David J. Hand, Πέτρος Δελλαπόρτας and A. Balogh and has published in prestigious journals such as Journal of the American Statistical Association, The Astrophysical Journal and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

D. G. T. Denison

22 papers receiving 1.0k citations

Peers

D. G. T. Denison
Comparison fields: 5 of 135
  • Artificial Intelligence 485
  • Statistics and Probability 383
  • Economics and Econometrics 132
  • Environmental Engineering 92
  • Epidemiology 86
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Citations per field, relative to D. G. T. Denison
D. G. T. Denison · 1×
Citations per year, relative to D. G. T. Denison
D. G. T. Denison · 1×

Countries citing papers authored by D. G. T. Denison

Since Specialization
Citations

This map shows the geographic impact of D. G. T. Denison'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 D. G. T. Denison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. G. T. Denison more than expected).

Fields of papers citing papers by D. G. T. Denison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. T. Denison. 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 D. G. T. Denison. The network helps show where D. G. T. Denison may publish in the future.

Co-authorship network of co-authors of D. G. T. Denison

This figure shows the co-authorship network connecting the top 25 collaborators of D. G. T. Denison. A scholar is included among the top collaborators of D. G. T. Denison 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 D. G. T. Denison. D. G. T. Denison 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 5
2
Nonparametric Bayesian Regression Methods
3
3 11
4 12
5
Bayesian Methods for Nonlinear Classification and Regression
363
6 116
7 5
8 4
9 36
10
Minimum-entropy data clustering using reversible jump Markov chain Monte Carlo
2
11 73
12 2
13 43
14 8
15 15
16 14
17 13
18 11
19 67
20 289

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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