Jonathan D. Cryer

2.6k total citations · 2 hit papers
41 papers, 1.7k citations indexed

About

Jonathan D. Cryer is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Jonathan D. Cryer has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Statistics, Probability and Uncertainty and 4 papers in Control and Systems Engineering. Recurrent topics in Jonathan D. Cryer's work include Statistical Methods and Inference (4 papers), Fault Detection and Control Systems (4 papers) and Advanced Statistical Process Monitoring (4 papers). Jonathan D. Cryer is often cited by papers focused on Statistical Methods and Inference (4 papers), Fault Detection and Control Systems (4 papers) and Advanced Statistical Process Monitoring (4 papers). Jonathan D. Cryer collaborates with scholars based in United States, United Kingdom and Germany. Jonathan D. Cryer's co-authors include Kung‐Sik Chan, E. J. Hannan, Manfred Deistler, Joel R. Perloff, James N. Palmer, Ovidiu-Andrei Schipor, Thomas P. Ryan, Johannes Ledolter, Tim Robertson and Robert B. Miller and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of the American Statistical Association.

In The Last Decade

Jonathan D. Cryer

40 papers receiving 1.5k citations

Hit Papers

The Statistical Theory of Linear Systems 1990 2026 2002 2014 1990 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan D. Cryer United States 15 320 250 229 219 188 41 1.7k
D. R. Cox United Kingdom 19 555 1.7× 386 1.5× 36 0.2× 182 0.8× 85 0.5× 36 2.5k
E. J. Snell United Kingdom 11 796 2.5× 229 0.9× 35 0.2× 102 0.5× 43 0.2× 25 1.9k
Robert B. Miller United States 17 321 1.0× 547 2.2× 114 0.5× 431 2.0× 316 1.7× 73 2.6k
D. R. Cox United Kingdom 20 1.3k 4.0× 327 1.3× 50 0.2× 175 0.8× 60 0.3× 41 2.6k
M. C. Jones United Kingdom 22 724 2.3× 119 0.5× 179 0.8× 99 0.5× 37 0.2× 73 2.4k
Anja Struyf Belgium 21 356 1.1× 323 1.3× 41 0.2× 166 0.8× 238 1.3× 26 1.9k
Kenneth N. Berk United States 18 517 1.6× 294 1.2× 110 0.5× 223 1.0× 219 1.2× 54 1.8k
G. À. Whitmore Canada 25 1.0k 3.3× 266 1.1× 136 0.6× 209 1.0× 23 0.1× 73 3.0k
P. J. Harrison United Kingdom 16 419 1.3× 267 1.1× 168 0.7× 184 0.8× 167 0.9× 35 1.5k
Ashish Sen United States 22 314 1.0× 399 1.6× 131 0.6× 89 0.4× 73 0.4× 65 2.4k

Countries citing papers authored by Jonathan D. Cryer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Cryer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D. Cryer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Cryer. A scholar is included among the top collaborators of Jonathan D. Cryer 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 Jonathan D. Cryer. Jonathan D. Cryer 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.
Du, Jingzhen, Gábor Balázs, John A. Seed, et al.. (2022). Actinide Pnictinidene Chemistry: A Terminal Thorium Parent‐Arsinidene Complex Stabilised by a Super‐Bulky Triamidoamine Ligand. Angewandte Chemie International Edition. 61(50). e202211627–e202211627. 13 indexed citations
2.
Lu, Erli, Ashley J. Wooles, Josef T. Boronski, et al.. (2019). Back-bonding between an electron-poor, high-oxidation-state metal and poor π-acceptor ligand in a uranium(v)–dinitrogen complex. Nature Chemistry. 11(9). 806–811. 56 indexed citations
3.
Cryer, Jonathan D. & Kung‐Sik Chan. (2010). Time Series Analysis: With Applications in R. CERN Document Server (European Organization for Nuclear Research). 468 indexed citations breakdown →
4.
Cryer, Jonathan D., et al.. (2008). Time Series Analysis. 71 indexed citations
5.
Cryer, Jonathan D., Ovidiu-Andrei Schipor, Joel R. Perloff, & James N. Palmer. (2004). Evidence of Bacterial Biofilms in Human Chronic Sinusitis. ORL. 66(3). 155–158. 153 indexed citations
6.
Cobb, George W., Jeffrey A. Witmer, & Jonathan D. Cryer. (1998). An Electronic Companion to Statistics (book and CD ROM). Teaching Statistics. 20(1). 29–30. 2 indexed citations
7.
Snell, J. Laurie, et al.. (1998). An Electronic Companion to Statistics (CD-ROM). The American Statistician. 52(1). 88–88. 1 indexed citations
8.
Cryer, Jonathan D., George W. Cobb, & Jeffrey A. Witmer. (1997). An electronic companion to business statistics. Medical Entomology and Zoology. 1 indexed citations
9.
Cryer, Jonathan D. & Thomas P. Ryan. (1991). The estimation of sigma for an X chart: MR/d2 or S/c4?. Quality Engineering. 36(3). 157–158. 11 indexed citations
10.
Cryer, Jonathan D., John C. Nankervis, & N. E. Savin. (1990). Forecast Error Symmetry in ARIMA Models. Journal of the American Statistical Association. 85(411). 724–724. 1 indexed citations
11.
Cryer, Jonathan D., John C. Nankervis, & N. E. Savin. (1989). Mirror-Image and Invariant Distributions in ARMA Models. Econometric Theory. 5(1). 36–52. 11 indexed citations
12.
Watson, Mark W. & Jonathan D. Cryer. (1987). Time Series Analysis.. Journal of the American Statistical Association. 82(400). 1195–1195.
13.
Cryer, Jonathan D., Julius S. Bendat, & Allan G. Piersol. (1987). Random Data.. Journal of the American Statistical Association. 82(400). 1197–1197. 1 indexed citations
14.
Kyte, Michael, et al.. (1985). DEVELOPMENT AND APPLICATION OF TIME-SERIES TRANSIT RIDERSHIP MODELS FOR PORTLAND, OREGON. Transportation Research Record Journal of the Transportation Research Board. 9–18. 3 indexed citations
15.
Ryan, Barbara F., Brian L. Joiner, & Jonathan D. Cryer. (1985). Minitab handbook : updated for release 16. Medical Entomology and Zoology. 55 indexed citations
16.
Cryer, Jonathan D. & Johannes Ledolter. (1981). Small-sample properties of the maximum likelihood estimator in the first-order moving average model. Biometrika. 68(3). 691–694. 44 indexed citations
17.
Cryer, Jonathan D., et al.. (1976). Monotone Percentile Regression. The Annals of Statistics. 4(3). 21 indexed citations
18.
Cryer, Jonathan D., et al.. (1972). Monotone Median Regression. The Annals of Mathematical Statistics. 43(5). 1459–1469. 24 indexed citations
19.
Cryer, Jonathan D. & M. R. Leadbetter. (1965). The variance of the number of zeros of stationary normal processes. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Leadbetter, M. R. & Jonathan D. Cryer. (1965). Curve Crossings by Normal Processes and Reliability Implications. SIAM Review. 7(2). 241–250. 3 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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