Chris Chatfield

94 papers receiving 13.0k citations

Chris Chatfield's Hit Papers

Time-Series Forecasting 2000 · 692 citations
6920+16+32Years since publication50010001.5k2.0k2.5k

Peers

Chris Chatfield
Comparison fields: 5 of 235
  • Statistics and Probability 1.9k
  • General Economics, Econometrics and Finance 1.6k
  • Management Science and Operations Research 2.4k
  • Finance 1.2k
  • Statistics, Probability and Uncertainty 656
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Citations per field
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Countries citing papers authored by Chris Chatfield

Since Specialization
Citations

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

Fields of papers citing papers by Chris Chatfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Chatfield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Chatfield Line = papers co-authored together Chris Chatfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Analysis of Time Series: An Introduction
Hit paper breakdown →
19912591
2
Statistical Analysis with Missing Data.
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19881793
3
Introduction to Statistical Time Series.
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19771771
4
Continuous Univariate Distributions.
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1995827
5
Model Uncertainty, Data Mining and Statistical Inference
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1995717
6
Time-Series Forecasting
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2000692
7
The Analysis of Time Series: An Introduction.
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1981446
8 1987407
9 1984366
10 1998293
11
The Holt-Winters Forecasting Procedure
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1978274
12 1989270
13 1993245
14 1981244
15 1988235
16 1993187
17 1994185
18 1996177
19 1973143
20 1972115

About Chris Chatfield

Chris Chatfield is a scholar working on Management Science and Operations Research, Statistics and Probability, Artificial Intelligence, Signal Processing and Economics and Econometrics, having authored 95 papers that have together received 14.2k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (21 papers), Advanced Statistical Methods and Models (12 papers), Time Series Analysis and Forecasting (9 papers), Stock Market Forecasting Methods (8 papers), Neural Networks and Applications (5 papers), Monetary Policy and Economic Impact (5 papers), Energy Load and Power Forecasting (3 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), General Economics, Econometrics and Finance (1.6k citations), Management Science and Operations Research (2.4k citations), Finance (1.2k citations) and Statistics, Probability and Uncertainty (656 citations). Chris Chatfield has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David A. Dickey, W. A. Fuller, Roderick J. A. Little, Donald B. Rubin, N. Balakrishnan, Julian J. Faraway, Allan G. Piersol, Julius S. Bendat, Gregory C. Reinsel and Andreas S. Weigend. Their work appears in journals such as International Journal of Forecasting, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of Forecasting and Biometrics.

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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