Mark Priestley

7.7k citations
79 papers · 4.9k indexed · 3 hit papers · h-index 26
Topics
Control Systems and Identification (15 papers)History of Computing Technologies (14 papers)Fault Detection and Control Systems (11 papers)

In The Last Decade

Mark Priestley

72 papers receiving 4.5k citations

Hit Papers

The Statistical Analysis of Time Series.1965202619852005197219651984250500750

Peers

Mark Priestley
Comparison fields: 5 of 189
  • Economics and Econometrics 893
  • Statistics and Probability 872
  • Control and Systems Engineering 784
  • Artificial Intelligence 659
  • Finance 648
Replace Genshiro Kitagawa with:
Genshiro Kitagawa Japan
David S. Stoffer United States
David B. Preston
Barry G. Quinn Australia
Murray Rosenblatt United States
Peter Bloomfield United States
Beat Kleiner United States
R. Douglas Martin United States
M. R. Leadbetter United States
Robb J. Muirhead United States
Mark Priestley relative to Genshiro Kitagawa Japan Genshiro Kitagawa's profile →
Citations per field
00.5×1.5×
Genshiro Kitagawa · 1×
Citations per year

Countries citing papers authored by Mark Priestley

Since Specialization
Citations

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

Fields of papers citing papers by Mark Priestley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Priestley

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Priestley. A scholar is included among the top collaborators of Mark Priestley 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 Mark Priestley. Mark Priestley 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 11
3 2
4 1
5 28
6
Practical Object-Oriented Design
9
7
Practical Object-oriented Design with UML
48
8 1
9 3
10 89
11
The Statistical Analysis of Time Series.breakdown →
919
12 19
13 175
14 3
15 20
16 24
17 3
18 8
19 46
20 46

About Mark Priestley

Mark Priestley is a scholar working on Computer Science Applications, History and Philosophy of Science and Control and Systems Engineering, having authored 79 papers that have together received 4.9k indexed citations. Recurring topics across this work include Control Systems and Identification (15 papers), History of Computing Technologies (14 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Statistics and Probability (872 citations), Finance (648 citations) and Statistics, Probability and Uncertainty (438 citations). Mark Priestley has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include T. W. Anderson, Emanuel Parzen, David B. Preston, Min‐Te Chao, T. Subba Rao, Howell Tong, Thomas Haigh, W. D. Ray, John Pemberton and Gwilym M. Jenkins. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.

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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