Ralph L. Disney

47 papers receiving 679 citations

Peers

Ralph L. Disney
Comparison fields: 5 of 74
  • Management Information Systems 609
  • Management Science and Operations Research 326
  • Computer Networks and Communications 174
  • Industrial and Manufacturing Engineering 131
  • Statistics and Probability 120
Replace N. K. Jaiswal with:
N. K. Jaiswal India
Shun‐Chen Niu United States
Michael R. Taaffe United States
Clifford W. Marshall United States
Kyung C. Chae South Korea
L. D. Servi United States
Michael A. Zazanis United States
M. L. Chaudhry Canada
B. D. Sivazlian United States
Hans Daduna Germany
Ralph L. Disney relative to N. K. Jaiswal India N. K. Jaiswal's profile →
Citations per field
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N. K. Jaiswal · 1×
Citations per year

Countries citing papers authored by Ralph L. Disney

Since Specialization
Citations

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

Fields of papers citing papers by Ralph L. Disney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph L. Disney. 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 Ralph L. Disney. The network helps show where Ralph L. Disney may publish in the future.

Co-authorship network of co-authors of Ralph L. Disney

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph L. Disney. A scholar is included among the top collaborators of Ralph L. Disney 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 Ralph L. Disney. Ralph L. Disney 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 21
2 22
3 40
4 4
5 3
6 2
7 2
8
Probability and random processes : a first course with applications
7
9 106
10
Further Comments on Some Queueing Inequalities.
1
11
Some Problems of Queues with Feedback.
1
12 9
13 20
14 11
15 25
16 6
17 2
18 23
19 1
20 1

About Ralph L. Disney

Ralph L. Disney is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics and Probability, having authored 50 papers that have together received 803 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (34 papers), Probability and Risk Models (13 papers) and Simulation Techniques and Applications (11 papers). The work is most often cited by research in Management Information Systems (609 citations), Management Science and Operations Research (326 citations) and Statistics and Probability (120 citations). Ralph L. Disney has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Dieter König, Peter C. Kiessler, Donald C. McNickle, Sun Hur, Robert D. Foley, Ryszard Szekli, Volker Schmidt, B. Eddy Patuwo, Erhan Çınlar and Wilbert E. Wilhelm. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Management Science.

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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