D. J. Daley

150 papers receiving 4.9k citations

Hit Papers

Comparison Methods for Queues and Other Stochastic Models.19842026199820121986198619842003200400600

Peers

D. J. Daley
Comparison fields: 5 of 168
  • Management Information Systems 1.4k
  • Management Science and Operations Research 1.3k
  • Statistics and Probability 943
  • Computer Networks and Communications 825
  • Mathematical Physics 701
Replace Peter Whittle with:
Peter Whittle United Kingdom
David G. Kendall United Kingdom
Paul Dupuis United States
Pierre Brémaud France
S. N. Ethier United States
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G. F. Newell United States
C. C. Heyde Australia
Kai Lai Chung United States
J. Laurie Snell United States
D. J. Daley relative to Peter Whittle United Kingdom Peter Whittle's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by D. J. Daley

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Daley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Daley. 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. J. Daley. The network helps show where D. J. Daley may publish in the future.

Co-authorship network of co-authors of D. J. Daley

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Daley. A scholar is included among the top collaborators of D. J. Daley 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. J. Daley. D. J. Daley 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 1
2 43
3
General theory and structure
16
4 3
5 20
6 39
7 63
8
Elementary theory and methods
59
9 13
10 21
11
Some results for the mean waiting-time and workload in GI/GI/k queues
4
12 30
13 42
14 4
15 13
16 31
17 1
18 24
19 37
20 21

About D. J. Daley

D. J. Daley is a scholar working on Management Information Systems, Mathematical Physics and Statistics and Probability, having authored 153 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (52 papers), Stochastic processes and statistical mechanics (50 papers) and Probability and Risk Models (48 papers). The work is most often cited by research in Management Information Systems (1.4k citations), Statistics and Probability (943 citations) and Management Science and Operations Research (1.3k citations). D. J. Daley has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dietrich Stoyan, D. Vere‐Jones, J. Gani, Ward Whitt, Derek A. Zelmer, Б. Л. С. Пракаса Рао, Yury A. Kutoyants, C. W. Gardiner, U. Narayan Bhat and Tomasz Rolski. Their work appears in journals such as Nature, Journal of the American Statistical Association and The American Naturalist.

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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