James Hannan

597 citations
20 papers · 252 indexed · h-index 9
Topics
Advanced Statistical Methods and Models (5 papers)Advanced Statistical Process Monitoring (5 papers)Statistical Methods and Bayesian Inference (3 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

James Hannan

20 papers receiving 189 citations

Peers

James Hannan
Comparison fields: 5 of 50
  • Statistics and Probability 166
  • Artificial Intelligence 69
  • Management Science and Operations Research 52
  • Finance 48
  • Statistics, Probability and Uncertainty 30
Replace G. W. Hill with:
G. W. Hill Australia
Ann F. S. Mitchell United Kingdom
Kamal C. Chanda United States
C. Villegas Canada
C. B. Bell United States
Somesh Das Gupta United States
K. Dzhaparidze Netherlands
M. C. Spruill United States
Wolfgang Wertz Austria
Alvin Baranchik United States
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Citations per field
00.5×1.5×1.8×
G. W. Hill · 1×
Citations per year

Countries citing papers authored by James Hannan

Since Specialization
Citations

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

Fields of papers citing papers by James Hannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hannan

This figure shows the co-authorship network connecting the top 25 collaborators of James Hannan. A scholar is included among the top collaborators of James Hannan 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 James Hannan. James Hannan 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
#WorkIndexed citations
1 3
2
ON BLACKWELL'S MINIMAX THEOREM AND THE COMPOUND DECISION METHOD
2
3 1
4 2
5 5
6 47
7 42
8 3
9 7
10 10
11 2
12 13
13 3
14 3
15 9
16 16
17 15
18 18
19 48
20
Asymptotic solutions of compound decision problems
3

About James Hannan

James Hannan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 20 papers that have together received 252 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Advanced Statistical Process Monitoring (5 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (166 citations), Finance (48 citations) and Management Science and Operations Research (52 citations). James Hannan has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Herbert Robbins, Václav Fabian, Stephen Portnoy, Dennis Gilliland, W. L. Harkness, R. F. Tate, Jing-Song Huang, J.S.T. Huang, Suman Majumdar and E. J. Hannan. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

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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