Christopher Chatfield

6.5k citations
40 papers · 4.7k · 3 hit papers · h-index 24

Impact in

Papers in

Christopher Chatfield

37 papers receiving 4.3k citations

Christopher Chatfield's Hit Papers

The Analysis of Time Series 1990 · 739 citations
7390+15+30Years since publication2505007501000

Peers

Christopher Chatfield
Comparison fields: 5 of 218
  • Developmental Biology 154
  • Statistics and Probability 405
  • Marketing 274
  • Management Science and Operations Research 346
  • Global and Planetary Change 530
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Countries citing papers authored by Christopher Chatfield

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Chatfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Christopher 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 Christopher Chatfield Line = papers co-authored together Christopher Chatfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applied Linear Regression.
Hit paper breakdown →
19861109
2
Introduction to Multivariate Analysis
Hit paper breakdown →
1980850
3
The Analysis of Time Series
Hit paper breakdown →
1990739
4 1977407
5 1975177
6 1970132
7 1978132
8 1973126
9 1971105
10 201894
11 198094
12 198278
13 197376
14 199171
15 196668
16 197063
17 197555
18 197653
19 197747
20 197335

About Christopher Chatfield

Christopher Chatfield is a scholar working on Marketing, Management Science and Operations Research, Artificial Intelligence, Management Information Systems and Management of Technology and Innovation, having authored 40 papers that have together received 4.7k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (6 papers), Innovation Diffusion and Forecasting (5 papers), University-Industry-Government Innovation Models (2 papers), Supply Chain and Inventory Management (2 papers), Bayesian Methods and Mixture Models (2 papers), Consumer Retail Behavior Studies (2 papers), Forecasting Techniques and Applications (2 papers) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Developmental Biology (154 citations), Statistics and Probability (405 citations), Marketing (274 citations), Management Science and Operations Research (346 citations) and Global and Planetary Change (530 citations). Christopher Chatfield has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Sanford Weisberg, Alexander J. Collins, Peter Bloomfield, G. J. Goodhardt, Robert E. Lemon, R. K. Som, William W. S. Wei, A. S. C. Ehrenberg, M. J. R. Healy and Tony Greenfield. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing Research, Journal of the Royal Statistical Society Series C (Applied Statistics), Animal Behaviour and Technometrics.

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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