Joe Whittaker
- Artificial Intelligence top 2%
- Statistics and Probability top 0.5%
- Building and Construction top 5%
- Molecular Biology
- Control and Systems Engineering top 5%
- Co-authors
- Colin GoodallDavid J. HandMark John SomersLuís Aparecido MilanBart van AremHoward R. KirbyJ. N. R. JeffersSteffen L. Lauritzen
- Topics
- Traffic Prediction and Management Techniques (9 papers)Statistical Methods and Inference (8 papers)Advanced Statistical Methods and Models (8 papers)
- Partner nations
- United KingdomItalyGhana
In The Last Decade
Joe Whittaker
54 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 708
- Statistics and Probability 509
- Building and Construction 235
- Molecular Biology 227
- Control and Systems Engineering 217
Countries citing papers authored by Joe Whittaker
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 38 | |
| 3 | Linkages as a Lens: An Exploration of Strategic Communications in P/CVE. | 3 |
| 4 | 31 | |
| 5 | 9 | |
| 6 | 57 | |
| 7 | 2 | |
| 8 | Analysis of multivariate time series via a hidden graphical model. | 1 |
| 9 | DACCORD: ON-LINE TRAVEL TIME PREDICTION | 9 |
| 10 | 102 | |
| 11 | 67 | |
| 12 | 17 | |
| 13 | DYNA: A REAL-TIME MONITORING AND PREDICTION SYSTEM FOR INTER-URBAN MOTORWAYS | 13 |
| 14 | 30 | |
| 15 | Graphical Models in Applied Multivariate Statisticsbreakdown → | 1148 |
| 16 | 1 | |
| 17 | 84 | |
| 18 | ESTIMATION ERRORS FOR WELL-FITTING GRAVITY MODELS | 1 |
| 19 | 3 | |
| 20 | 27 |
About Joe Whittaker
Joe Whittaker is a scholar working on Statistics and Probability, Analytical Chemistry and Transportation, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (9 papers), Statistical Methods and Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Statistics and Probability (509 citations), Transportation (205 citations) and Artificial Intelligence (708 citations). Joe Whittaker has collaborated with scholars based in United Kingdom, Italy and Ghana. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, Technometrics 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.