Ian T. Jolliffe

60.2k citations
115 papers · 29.4k indexed · 9 hit papers · h-index 39

Ian T. Jolliffe

108 papers receiving 27.6k citations

Hit Papers

Principal comp...5.8k19722026199020082.0k4.0k6.0k

Peers

Ian T. Jolliffe
Comparison fields: 5 of 241
  • Analytical Chemistry 2.5k
  • Signal Processing 2.2k
  • Statistics and Probability 1.6k
  • Computational Mathematics 115
  • Computer Vision and Pattern Recognition 3.9k
Replace Eric R. Ziegel with:
Eric R. Ziegel United States
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Saul A. Teukolsky United States
Kurt Hornik Austria
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Brian P. Flannery United States
Peter J. Rousseeuw Belgium
William T. Vetterling United States
Hirotugu Akaike Japan
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Ian T. Jolliffe relative to Eric R. Ziegel United States Eric R. Ziegel's profile →
Citations per field
00.5×10×
Eric R. Ziegel · 1×
Citations per year

Countries citing papers authored by Ian T. Jolliffe

Since Specialization
Citations

This map shows the geographic impact of Ian T. Jolliffe'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 Ian T. Jolliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian T. Jolliffe more than expected).

Fields of papers citing papers by Ian T. Jolliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian T. Jolliffe. 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 Ian T. Jolliffe. The network helps show where Ian T. Jolliffe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ian T. Jolliffe, 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 Ian T. Jolliffe Line = papers co-authored together Ian T. Jolliffe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20216
2 201424
3 200820
4 200438
5 19997
6 199913
7 199813
8 199711
9 19977
10 19975
11 199622
12 199612
13 1996122
14 1995146
15 1995229
16 1990182
17 198924
18
Principal Component Analysisbreakdown →
19865852
19
Comments on the paper by Lawrence and Lewis: "Modelling and Residual Analysis of Nonlinear Autoregressive Time Series in Exponential Variables "
19851
20
A Note on the Use of Principal Components in Regressionbreakdown →
1982607

About Ian T. Jolliffe

Ian T. Jolliffe is a scholar working on Statistics and Probability, Analytical Chemistry and Computational Mathematics, having authored 115 papers that have together received 29.4k indexed citations. Recurring topics across this work include Climate variability and models (21 papers), Spectroscopy and Chemometric Analyses (17 papers), Advanced Statistical Methods and Models (15 papers), Meteorological Phenomena and Simulations (13 papers), Forecasting Techniques and Applications (11 papers), Sensory Analysis and Statistical Methods (10 papers), Hydrology and Drought Analysis (7 papers) and Statistical Methods and Applications (7 papers). The work is most often cited by research in Analytical Chemistry (2.5k citations), Signal Processing (2.2k citations) and Statistics and Probability (1.6k citations). Ian T. Jolliffe has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include Colin Goodall, Jorge Cadima, Michael Greenacre, David B. Stephenson, Helmut Lütkepohl, Abdel Hannachi, Nickolay T. Trendafilov, Mudassir Uddin, R. Dekker and J.J. Beukema. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and American Journal of Respiratory and Critical Care Medicine.

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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