Alastair Rushworth

569 total citations
8 papers, 365 citations indexed

About

Alastair Rushworth is a scholar working on Economics and Econometrics, Health, Toxicology and Mutagenesis and Transportation. According to data from OpenAlex, Alastair Rushworth has authored 8 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Transportation. Recurrent topics in Alastair Rushworth's work include Spatial and Panel Data Analysis (4 papers), Air Quality and Health Impacts (3 papers) and Urban Transport and Accessibility (3 papers). Alastair Rushworth is often cited by papers focused on Spatial and Panel Data Analysis (4 papers), Air Quality and Health Impacts (3 papers) and Urban Transport and Accessibility (3 papers). Alastair Rushworth collaborates with scholars based in United Kingdom, Australia and Ethiopia. Alastair Rushworth's co-authors include Duncan Lee, Richard Mitchell, Sujit K. Sahu, Christophe Sarran, Adrian Bowman, E. Marian Scott, Jay M. Ver Hoef, Erin E. Peterson, Simon Langan and Mark Brewer and has published in prestigious journals such as Biometrics, Journal of Statistical Software and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Alastair Rushworth

8 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alastair Rushworth United Kingdom 8 88 81 78 61 48 8 365
Rebecca A. Stern United States 7 41 0.5× 61 0.8× 76 1.0× 57 0.9× 20 0.4× 10 342
Aritz Adín Spain 11 141 1.6× 118 1.5× 16 0.2× 67 1.1× 105 2.2× 20 386
Garyfallos Konstantinoudis United Kingdom 12 56 0.6× 73 0.9× 195 2.5× 151 2.5× 9 0.2× 22 542
Vesna Zadnik Slovenia 10 158 1.8× 61 0.8× 34 0.4× 11 0.2× 79 1.6× 28 549
Ke Ju China 12 54 0.6× 29 0.4× 141 1.8× 13 0.2× 27 0.6× 29 351
I Gede Nyoman Mindra Jaya Indonesia 10 96 1.1× 54 0.7× 12 0.2× 88 1.4× 24 0.5× 71 334
Samantha Cockings United Kingdom 15 134 1.5× 91 1.1× 123 1.6× 21 0.3× 20 0.4× 32 637
Alan Ricardo da Silva Brazil 12 191 2.2× 30 0.4× 55 0.7× 18 0.3× 23 0.5× 22 518
Chetan Tiwari United States 12 56 0.6× 55 0.7× 35 0.4× 30 0.5× 5 0.1× 49 451
Thomas Neyens Belgium 13 64 0.7× 66 0.8× 36 0.5× 75 1.2× 68 1.4× 52 421

Countries citing papers authored by Alastair Rushworth

Since Specialization
Citations

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

Fields of papers citing papers by Alastair Rushworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alastair Rushworth

This figure shows the co-authorship network connecting the top 25 collaborators of Alastair Rushworth. A scholar is included among the top collaborators of Alastair Rushworth 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 Alastair Rushworth. Alastair Rushworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lee, Duncan, et al.. (2018). Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package. Journal of Statistical Software. 84(9). 97 indexed citations
2.
Lee, Duncan, et al.. (2016). A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health. Biostatistics. 18(2). kxw048–kxw048. 23 indexed citations
3.
Rushworth, Alastair, Duncan Lee, & Christophe Sarran. (2016). An Adaptive Spatiotemporal Smoothing Model for Estimating Trends and Step Changes in Disease Risk. Journal of the Royal Statistical Society Series C (Applied Statistics). 66(1). 141–157. 43 indexed citations
4.
Rushworth, Alastair, Erin E. Peterson, Jay M. Ver Hoef, & Adrian Bowman. (2015). Validation and comparison of geostatistical and spline models for spatial stream networks. Environmetrics. 26(5). 327–338. 15 indexed citations
5.
Lee, Duncan, Alastair Rushworth, & Sujit K. Sahu. (2014). A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution. Biometrics. 70(2). 419–429. 51 indexed citations
6.
Rushworth, Alastair, Duncan Lee, & Richard Mitchell. (2014). A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London. Spatial and Spatio-temporal Epidemiology. 10. 29–38. 97 indexed citations
7.
Rushworth, Alastair, et al.. (2013). Flexible Regression Models Over River Networks. Journal of the Royal Statistical Society Series C (Applied Statistics). 63(1). 47–63. 32 indexed citations
8.
Rushworth, Alastair, Adrian Bowman, Mark Brewer, & Simon Langan. (2013). Distributed Lag Models for Hydrological Data. Biometrics. 69(2). 537–544. 7 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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