D. J. Daley

7.4k total citations · 4 hit papers
153 papers, 5.3k citations indexed

About

D. J. Daley is a scholar working on Management Science and Operations Research, Management Information Systems and Mathematical Physics. According to data from OpenAlex, D. J. Daley has authored 153 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Management Science and Operations Research, 52 papers in Management Information Systems and 51 papers in Mathematical Physics. Recurrent topics in D. J. Daley's work include Advanced Queuing Theory Analysis (52 papers), Stochastic processes and statistical mechanics (50 papers) and Probability and Risk Models (48 papers). D. J. Daley is often cited by papers focused on Advanced Queuing Theory Analysis (52 papers), Stochastic processes and statistical mechanics (50 papers) and Probability and Risk Models (48 papers). D. J. Daley collaborates with scholars based in Australia, United States and United Kingdom. D. J. Daley's co-authors include Dietrich Stoyan, D. Vere‐Jones, J. Gani, Ward Whitt, Derek A. Zelmer, Yury A. Kutoyants, C. W. Gardiner, Б. Л. С. Пракаса Рао, U. Narayan Bhat and Tomasz Rolski and has published in prestigious journals such as Nature, Journal of the American Statistical Association and The American Naturalist.

In The Last Decade

D. J. Daley

150 papers receiving 4.9k citations

Hit Papers

Comparison Methods for Queues and Other Stochastic Models. 1984 2026 1998 2012 1986 1986 1984 2003 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. J. Daley Australia 30 1.4k 1.3k 943 825 701 153 5.3k
Pierre Brémaud France 22 871 0.6× 808 0.6× 660 0.7× 758 0.9× 444 0.6× 58 3.9k
Peter Whittle United Kingdom 43 752 0.5× 1.9k 1.4× 1.5k 1.6× 1.1k 1.3× 665 0.9× 169 9.3k
David G. Kendall United Kingdom 35 683 0.5× 605 0.5× 779 0.8× 519 0.6× 741 1.1× 120 7.3k
G. F. Newell United States 46 1.7k 1.2× 888 0.7× 483 0.5× 676 0.8× 659 0.9× 129 10.2k
Paul Dupuis United States 37 869 0.6× 1.1k 0.9× 814 0.9× 353 0.4× 964 1.4× 113 5.3k
C. C. Heyde Australia 32 1.7k 1.2× 1.9k 1.5× 2.4k 2.6× 879 1.1× 1.7k 2.4× 187 8.0k
J. Laurie Snell United States 23 516 0.4× 893 0.7× 1.0k 1.1× 981 1.2× 901 1.3× 77 8.5k
S. N. Ethier United States 18 787 0.6× 736 0.6× 1.3k 1.3× 481 0.6× 2.7k 3.8× 70 6.1k
PE United States 15 275 0.2× 797 0.6× 1.1k 1.1× 727 0.9× 839 1.2× 25 5.4k
R. M. Loynes United Kingdom 16 560 0.4× 811 0.6× 1.4k 1.5× 557 0.7× 762 1.1× 61 3.9k

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
1.
Daley, D. J. & D. Vere‐Jones. (2008). General theory and structure. Springer eBooks. 16 indexed citations
2.
Daley, D. J. & D. Vere‐Jones. (2008). David George Kendall and Applied Probability. Journal of Applied Probability. 45(2). 293–296. 1 indexed citations
3.
Daley, D. J. & Günter Last. (2005). Descending chains, the lilypond model, and mutual-nearest-neighbour matching. Advances in Applied Probability. 37(3). 604–628. 3 indexed citations
4.
Daley, D. J. & Günter Last. (2005). Descending chains, the lilypond model, and mutual-nearest-neighbour matching. Advances in Applied Probability. 37(3). 604–628. 20 indexed citations
5.
Daley, D. J. & D. Vere‐Jones. (2003). Elementary theory and methods. Springer eBooks. 59 indexed citations
6.
Daley, D. J.. (1999). The Hurst Index of Long-Range Dependent Renewal Processes. The Annals of Probability. 27(4). 2035–2041. 13 indexed citations
7.
Daley, D. J.. (1999). The Hurst Index of Long-Range Dependent Renewal Processes. The Annals of Probability. 27(4). 21 indexed citations
8.
Daley, D. J., Helga Stoyan, & Dietrich Stoyan. (1999). The volume fraction of a Poisson germ model with maximally non-overlapping spherical grains. Advances in Applied Probability. 31(3). 610–624. 5 indexed citations
9.
Daley, D. J.. (1998). Some results for the mean waiting-time and workload in GI/GI/k queues. CRC Press, Inc. eBooks. 35–59. 4 indexed citations
10.
Daley, D. J. & L. D. Servi. (1994). Approximating last-exit probabilities of a random walk, by application to conditional queue length moments within busy periods of M/GI/1 queues. Journal of Applied Probability. 31(A). 251–267. 4 indexed citations
11.
Redman, Stephen, et al.. (1994). Statistical analysis of synaptic transmission: model discrimination and confidence limits. Biophysical Journal. 67(2). 532–547. 42 indexed citations
12.
Daley, D. J.. (1987). Certain optimality properties of the first-come first-served discipline for G/G/s queues. Stochastic Processes and their Applications. 25. 301–308. 31 indexed citations
13.
Gardiner, C. W., U. Narayan Bhat, Dietrich Stoyan, et al.. (1986). Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences.. Biometrics. 42(1). 226–226. 609 indexed citations breakdown →
14.
Daley, D. J.. (1985). Standardization by Bivariate Adjustment of Internal Assessments: Sex Bias and Other Statistical Matters. Australian Journal of Education. 29(3). 231–247. 5 indexed citations
15.
Daley, D. J. & Tomasz Rolski. (1984). Some comparability results for waiting times in single- and many-server queues. Journal of Applied Probability. 21(4). 887–900. 21 indexed citations
16.
Daley, D. J. & John Haslett. (1982). A thermal energy storage process with controlled input. Advances in Applied Probability. 14(2). 257–271. 24 indexed citations
17.
Daley, D. J. & Prakash Narayan. (1980). Series expansions of probability generating functions and bounds for the extinction probability of a branching process. Journal of Applied Probability. 17(4). 939–947. 11 indexed citations
18.
Daley, D. J.. (1971). The definition of a multi-dimensional generalization of shot noise. Journal of Applied Probability. 8(1). 128–135. 9 indexed citations
19.
Daley, D. J.. (1968). Monte Carlo Estimation of the Mean Queue Size in a Stationary GI/M/1 Queue. Operations Research. 16(5). 1002–1005. 10 indexed citations
20.
Daley, D. J. & Brian Evans. (1963). Diuretic Action of Ethacrynic Acid in Congestive Heart Failure. BMJ. 2(5366). 1169–1171. 21 indexed citations

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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