C. Taillie

3.4k total citations · 1 hit paper
63 papers, 2.1k citations indexed

About

C. Taillie is a scholar working on Statistics and Probability, Global and Planetary Change and Ecology. According to data from OpenAlex, C. Taillie has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 13 papers in Global and Planetary Change and 10 papers in Ecology. Recurrent topics in C. Taillie's work include Statistical Distribution Estimation and Applications (13 papers), Land Use and Ecosystem Services (11 papers) and Remote Sensing in Agriculture (7 papers). C. Taillie is often cited by papers focused on Statistical Distribution Estimation and Applications (13 papers), Land Use and Ecosystem Services (11 papers) and Remote Sensing in Agriculture (7 papers). C. Taillie collaborates with scholars based in United States, India and Netherlands. C. Taillie's co-authors include G. P. Patil, Ganapati P. Patil, Arun Kumar Sinha, J.F. Grassle, E. C. Pielou, Amarjit Kaur, Wayne L. Myers, J. K. Ord, Glen D. Johnson and David J. Rapport and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

C. Taillie

62 papers receiving 1.9k citations

Hit Papers

Diversity as a Concept and its Measurement 1982 2026 1996 2011 1982 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diversity as a Concept and its Measurement
    1982 490 citations G. P. Patil, C. Taillie Journal of the American Statistical Association profile →

Peers

C. Taillie
P. McCullagh United Kingdom
Jaxk Reeves United States
Karen Vines United Kingdom
G. P. Patil United States
Elja Arjas Finland
Silvia L. P. Ferrari Brazil
J. A. Nelder United Kingdom
Walter Krämer Germany
Daniel W. Schafer United States
John P. Buonaccorsi United States
P. McCullagh United Kingdom
C. Taillie
Citations per year, relative to C. Taillie C. Taillie (= 1×) peers P. McCullagh

Countries citing papers authored by C. Taillie

Since Specialization
Citations

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

Fields of papers citing papers by C. Taillie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Taillie

This figure shows the co-authorship network connecting the top 25 collaborators of C. Taillie. A scholar is included among the top collaborators of C. Taillie 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 C. Taillie. C. Taillie 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.
Patil, Ganapati P., Sharad D. Gore, & C. Taillie. (2010). Composite Sampling. 4 indexed citations
2.
Patil, G. P. & C. Taillie. (2004). Geoinformatic surveillance hotspot prioritization using linear extensions of partially ordered sets for multi-criterion ranking with multiple indicators. International Conference on Digital Government Research. 49. 1 indexed citations
3.
Patil, G. P. & C. Taillie. (2004). Multiple indicators, partially ordered sets, and linear extensions: Multi-criterion ranking and prioritization. Environmental and Ecological Statistics. 11(2). 199–228. 64 indexed citations
4.
Patil, G. P., et al.. (2004). Multiscale advanced raster map analysis system: Definition, design and development. Environmental and Ecological Statistics. 11(2). 113–138. 13 indexed citations
5.
Patil, G. P. & C. Taillie. (2003). Modeling and interpreting the accuracy assessment error matrix for a doubly classified map. Environmental and Ecological Statistics. 10(3). 357–373. 10 indexed citations
6.
7.
Patil, Ganapati P., et al.. (2001). Likelihood Contour Method for the Calculation of Asymptotic Upper Confidence Limits on the Risk Function for Quantitative Responses. Risk Analysis. 21(4). 613–624. 8 indexed citations
8.
Patil, Ganapati P., Robert P. Brooks, Wayne L. Myers, David J. Rapport, & C. Taillie. (2001). Ecosystem Health and Its Measurement at Landscape Scale: Toward the Next Generation of Quantitative Assessments. 7(4). 307–316. 41 indexed citations
9.
Patil, G. P., Wayne L. Myers, Zhen Luo, Glen D. Johnson, & C. Taillie. (2000). Multiscale assessment of landscapes and watersheds with synoptic multivariate spatial data in environmental and ecological statistics. Mathematical and Computer Modelling. 32(1-2). 257–272. 10 indexed citations
10.
Patil, G. P., et al.. (2000). Optimal Allocation for Symmetric Distributions in Ranked Set Sampling. Annals of the Institute of Statistical Mathematics. 52(2). 239–254. 15 indexed citations
11.
Patil, G. P., Arun Kumar Sinha, & C. Taillie. (1999). Ranked Set Sampling: a Bibliography. Environmental and Ecological Statistics. 6(1). 91–98. 87 indexed citations
12.
Patil, G. P., et al.. (1999). A performance indicator for ranked set sampling using ranking error probability matrix. Environmental and Ecological Statistics. 6(1). 75–80. 5 indexed citations
13.
Patil, G. P., Arun Kumar Sinha, & C. Taillie. (1997). Ranked set sampling, coherent rankings and size-biased permutations. Journal of Statistical Planning and Inference. 63(2). 311–324. 6 indexed citations
14.
Patil, G. P., Arun Kumar Sinha, & C. Taillie. (1995). Finite population corrections for ranked set sampling. Annals of the Institute of Statistical Mathematics. 47(4). 621–636. 33 indexed citations
15.
Laird, Nan M., G. P. Patil, & C. Taillie. (1988). [Selection Models and the File Drawer Problem]: Comment. Statistical Science. 3(1). 2 indexed citations
16.
Linder, Ernst, G. P. Patil, Glenn W. Suter, & C. Taillie. (1986). Effects of Toxic Pollutants on Aquatic Resources Using Statistical Models and Techniques to Extrapolate Acute and Chronic Effects Benchmarks. 1. 960–963. 2 indexed citations
17.
Patil, G. P. & C. Taillie. (1982). Diversity as a Concept and its Measurement. Journal of the American Statistical Association. 77(379). 548–561. 490 indexed citations breakdown →
18.
Freeman, G. H., J. K. Ord, G. P. Patil, & C. Taillie. (1982). Statistical Distributions in Ecological Work.. Journal of Applied Ecology. 19(2). 676–676. 27 indexed citations
19.
Patil, G. P. & C. Taillie. (1982). Diversity as a Concept and its Measurement: Rejoinder. Journal of the American Statistical Association. 77(379). 565–565. 3 indexed citations
20.
Taillie, C., et al.. (1981). Inferential problems and properties. Medical Entomology and Zoology. 1 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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