Joe Whittaker

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

About

Joe Whittaker is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Joe Whittaker has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Joe Whittaker's work include Traffic Prediction and Management Techniques (9 papers), Statistical Methods and Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). Joe Whittaker is often cited by papers focused on Traffic Prediction and Management Techniques (9 papers), Statistical Methods and Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). Joe Whittaker collaborates with scholars based in United Kingdom, Italy and Ghana. Joe Whittaker's co-authors include Colin Goodall, David J. Hand, Mark John Somers, Luís Aparecido Milan, Bart van Arem, Howard R. Kirby, J. N. R. Jeffers, Steffen L. Lauritzen, Anthony C. Atkinson and Nick Robinson and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Joe Whittaker

54 papers receiving 1.9k citations

Hit Papers

Graphical Models in Applied Multivariate Statistics 1991 2026 2002 2014 1991 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Whittaker United Kingdom 18 708 509 235 227 217 57 2.1k
Hrishikesh D. Vinod United States 27 352 0.5× 661 1.3× 168 0.7× 66 0.3× 106 0.5× 144 3.1k
Christophe Biernacki France 17 1.3k 1.8× 562 1.1× 88 0.4× 213 0.9× 49 0.2× 52 2.2k
David S. Matteson United States 20 214 0.3× 255 0.5× 122 0.5× 190 0.8× 96 0.4× 78 1.6k
Chao Gao China 28 604 0.9× 106 0.2× 98 0.4× 135 0.6× 80 0.4× 165 2.5k
K. E. Basford Australia 29 1.6k 2.3× 783 1.5× 45 0.2× 463 2.0× 81 0.4× 134 5.0k
I. M. Chakravarti United States 14 368 0.5× 206 0.4× 81 0.3× 148 0.7× 105 0.5× 39 2.3k
Thomas D. Nielsen Denmark 21 1.7k 2.4× 99 0.2× 85 0.4× 183 0.8× 304 1.4× 73 3.4k
Gerhard Tutz Germany 30 902 1.3× 1.9k 3.7× 63 0.3× 221 1.0× 158 0.7× 169 4.3k
Ricardo J. G. B. Campello Brazil 24 2.4k 3.4× 180 0.4× 49 0.2× 209 0.9× 215 1.0× 67 3.4k
Christopher Meek United States 15 1.6k 2.3× 123 0.2× 100 0.4× 233 1.0× 49 0.2× 41 2.5k

Countries citing papers authored by Joe Whittaker

Since Specialization
Citations

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

Fields of papers citing papers by Joe Whittaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Whittaker

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Whittaker. A scholar is included among the top collaborators of Joe Whittaker 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 Joe Whittaker. Joe Whittaker 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.
Whittaker, Joe, et al.. (2025). The Dual Pathways Hypothesis of Incel Harm: A Model of Harmful Attitudes and Beliefs Among Involuntary Celibates. Archives of Sexual Behavior. 54(5). 1815–1836. 1 indexed citations
2.
Whittaker, Joe, et al.. (2021). Recommender systems and the amplification of extremist content. Internet Policy Review. 10(2). 38 indexed citations
3.
Whittaker, Joe, et al.. (2019). Linkages as a Lens: An Exploration of Strategic Communications in P/CVE.. 20(20). 1–46. 3 indexed citations
4.
Whittaker, Joe, et al.. (2009). Sparse CCA using a Lasso with positivity constraints. Computational Statistics & Data Analysis. 54(12). 3144–3157. 31 indexed citations
5.
Whittaker, Joe, et al.. (2006). A dynamic scorecard for monitoring baseline performance with application to tracking a mortgage portfolio. Journal of the Operational Research Society. 58(7). 911–921. 9 indexed citations
6.
Whittaker, Joe, et al.. (2005). The Neglog Transformation and Quantile Regression for the Analysis of a Large Credit Scoring Database. Journal of the Royal Statistical Society Series C (Applied Statistics). 54(5). 863–878. 57 indexed citations
7.
Dodge, Yadolah & Joe Whittaker. (2000). The information for the direction of dependence in l1regression. Communication in Statistics- Theory and Methods. 29(9-10). 1945–1955. 2 indexed citations
8.
Stanghellini, Elena & Joe Whittaker. (1999). Analysis of multivariate time series via a hidden graphical model.. International Conference on Artificial Intelligence and Statistics. 1 indexed citations
9.
Manfredi, Sabato, et al.. (1999). DACCORD: ON-LINE TRAVEL TIME PREDICTION. 9 indexed citations
10.
Whittaker, Joe, et al.. (1997). Tracking and predicting a network traffic process. International Journal of Forecasting. 13(1). 51–61. 102 indexed citations
11.
Milan, Luís Aparecido & Joe Whittaker. (1995). Application of the Parametric Bootstrap to Models that Incorporate a Singular Value Decomposition. Journal of the Royal Statistical Society Series C (Applied Statistics). 44(1). 31–31. 67 indexed citations
12.
Whittaker, Joe & Sylvia Frühwirth‐Schnatter. (1994). A Dynamic Changepoint Model for Detecting the Onset of Growth in Bacteriological Infections. Journal of the Royal Statistical Society Series C (Applied Statistics). 43(4). 625–625. 17 indexed citations
13.
Ben‐Akiva, Moshe, et al.. (1994). DYNA: A REAL-TIME MONITORING AND PREDICTION SYSTEM FOR INTER-URBAN MOTORWAYS. 13 indexed citations
14.
Lauritzen, Steffen L. & Joe Whittaker. (1992). Graphical Models in Applied Multivariate Statistics.. Journal of the American Statistical Association. 87(417). 251–251. 30 indexed citations
15.
Goodall, Colin & Joe Whittaker. (1991). Graphical Models in Applied Multivariate Statistics. Technometrics. 33(4). 476–476. 1148 indexed citations breakdown →
16.
Gilchrist, Robert, Brian Francis, & Joe Whittaker. (1985). Generalized linear models : proceedings of the GLIM 85 Conference, held in Lancaster, UK, Sept. 16-19, 1985. Springer eBooks. 1 indexed citations
17.
Whittaker, Joe. (1984). Model Interpretation from the Additive Elements of the Likelihood Function. Journal of the Royal Statistical Society Series C (Applied Statistics). 33(1). 52–52. 84 indexed citations
18.
Whittaker, Joe, et al.. (1981). ESTIMATION ERRORS FOR WELL-FITTING GRAVITY MODELS. OpenGrey (Institut de l'Information Scientifique et Technique). 1 indexed citations
19.
Whittaker, Joe, et al.. (1975). Posidonius. Volume 1: The Fragments. Phoenix. 29(2). 190–190. 3 indexed citations
20.
Whittaker, Joe. (1974). Generating Gamma and Beta Random Variables with Non-Integral Shape Parameters. Journal of the Royal Statistical Society Series C (Applied Statistics). 23(2). 210–210. 27 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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