Tim Keighley

588 total citations
18 papers, 436 citations indexed

About

Tim Keighley is a scholar working on Molecular Biology, Epidemiology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tim Keighley has authored 18 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tim Keighley's work include Advanced Statistical Process Monitoring (4 papers), Data-Driven Disease Surveillance (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Tim Keighley is often cited by papers focused on Advanced Statistical Process Monitoring (4 papers), Data-Driven Disease Surveillance (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Tim Keighley collaborates with scholars based in Australia, New Zealand and Iran. Tim Keighley's co-authors include Dana Pascovici, Paul A. Haynes, Ross Sparks, David Muscatello, Grant R. Cramer, Brett Cooke, Mehdi Mirzaei, Karlie A. Neilson, Neda Soltani and Ghasem Hosseini Salekdeh and has published in prestigious journals such as Journal of Environmental Management, International Journal of Environmental Research and Public Health and Journal of Proteome Research.

In The Last Decade

Tim Keighley

18 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Keighley Australia 11 173 157 42 41 40 18 436
Timothy E. O’Brien United States 12 65 0.4× 68 0.4× 16 0.4× 80 2.0× 25 0.6× 34 396
Peter C. Greif United States 6 54 0.3× 172 1.1× 15 0.4× 19 0.5× 11 0.3× 12 522
Marie Coffin United States 6 97 0.6× 82 0.5× 8 0.2× 30 0.7× 18 0.5× 6 296
Brian E. Howard United States 10 80 0.5× 194 1.2× 12 0.3× 3 0.1× 63 1.6× 16 567
Aaron W. Miller United States 13 67 0.4× 492 3.1× 36 0.9× 6 0.1× 2 0.1× 22 795
Ebi K. Kimanani Canada 9 258 1.5× 59 0.4× 9 0.2× 42 1.0× 5 0.1× 14 449
Freeman United States 3 204 1.2× 72 0.5× 18 0.4× 25 0.6× 5 0.1× 6 512
A. Gerami Iran 13 82 0.5× 66 0.4× 9 0.2× 42 1.0× 18 0.5× 46 510
Yumou Qiu United States 13 210 1.2× 75 0.5× 10 0.2× 88 2.1× 5 0.1× 38 456
Sanjeena Subedi Canada 15 255 1.5× 159 1.0× 9 0.2× 77 1.9× 4 0.1× 39 593

Countries citing papers authored by Tim Keighley

Since Specialization
Citations

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

Fields of papers citing papers by Tim Keighley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Keighley

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

All Works

18 of 18 papers shown
1.
Carr, Prudence R., Tim Keighley, Peter Petocz, et al.. (2022). Efficacy and safety of endoscopic sleeve gastroplasty and laparoscopic sleeve gastrectomy with 12+ months of adjuvant multidisciplinary support. BMC Primary Care. 23(1). 26–26. 20 indexed citations
2.
Starck, Carlene, Michelle Blumfield, Tim Keighley, et al.. (2021). Nutrient Dense, Low-Cost Foods Can Improve the Affordability and Quality of the New Zealand Diet—A Substitution Modeling Study. International Journal of Environmental Research and Public Health. 18(15). 7950–7950. 6 indexed citations
3.
Blumfield, Michelle, Carlene Starck, Tim Keighley, et al.. (2021). Diet and Economic Modelling to Improve the Quality and Affordability of the Australian Diet for Low and Medium Socioeconomic Households. International Journal of Environmental Research and Public Health. 18(11). 5771–5771. 6 indexed citations
4.
Blumfield, Michelle, Carlene Starck, Tim Keighley, et al.. (2021). 2020 NRAUS Australia New Zealand Food Category Cost Dataset. Bond University Research Portal (Bond University). 2 indexed citations
5.
Keighley, Tim, Thomas Longden, Supriya Mathew, & Stefan Trück. (2017). Quantifying catastrophic and climate impacted hazards based on local expert opinions. Journal of Environmental Management. 205. 262–273. 8 indexed citations
6.
Fayet‐Moore, Flávia, Andrew McConnell, & Tim Keighley. (2016). Adult snacking in Australia: Understanding who, what, when and how much. Journal of Nutrition & Intermediary Metabolism. 4. 15–15. 2 indexed citations
7.
8.
Neilson, Karlie A., Tim Keighley, Dana Pascovici, Brett Cooke, & Paul A. Haynes. (2013). Label-Free Quantitative Shotgun Proteomics Using Normalized Spectral Abundance Factors. Methods in molecular biology. 1002. 205–222. 55 indexed citations
9.
Trück, Stefan, et al.. (2013). Handbook CATLoG: climate adaptation decision support tool for local governments. 2 indexed citations
10.
Pascovici, Dana, Donald M. Gardiner, Edmond J. Breen, et al.. (2013). Coverage and Consistency: Bioinformatics Aspects of the Analysis of Multirun iTRAQ Experiments with Wheat Leaves. Journal of Proteome Research. 12(11). 4870–4881. 10 indexed citations
11.
Pascovici, Dana, Tim Keighley, Mehdi Mirzaei, Paul A. Haynes, & Brett Cooke. (2011). PloGO: Plotting gene ontology annotation and abundance in multi‐condition proteomics experiments. PROTEOMICS. 12(3). 406–410. 27 indexed citations
12.
Mirzaei, Mehdi, Neda Soltani, Elham Sarhadi, et al.. (2011). Shotgun Proteomic Analysis of Long-distance Drought Signaling in Rice Roots. Journal of Proteome Research. 11(1). 348–358. 70 indexed citations
13.
Sparks, Ross, Tim Keighley, & David Muscatello. (2011). Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts. Journal of Applied Statistics. 38(10). 2165–2181. 19 indexed citations
14.
Mirzaei, Mehdi, Dana Pascovici, Tim Keighley, et al.. (2010). Shotgun proteomic profiling of five species of New Zealand Pachycladon. PROTEOMICS. 11(1). 166–171. 14 indexed citations
15.
Sparks, Ross, Tim Keighley, & David Muscatello. (2010). Early warning CUSUM plans for surveillance of negative binomial daily disease counts. Journal of Applied Statistics. 37(11). 1911–1929. 29 indexed citations
16.
Sparks, Ross, Tim Keighley, & David Muscatello. (2010). Exponentially weighted moving average plans for detecting unusual negative binomial counts. IIE Transactions. 42(10). 721–733. 14 indexed citations
17.
Sparks, Ross, Tim Keighley, & David Muscatello. (2009). Improving EWMA Plans for Detecting Unusual Increases in Poisson Counts. Journal of Applied Mathematics and Decision Sciences. 2009. 1–16. 17 indexed citations
18.
Sparks, Ross, et al.. (2008). Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics®. Computer Methods and Programs in Biomedicine. 91(3). 208–222. 30 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Timothy E. O’Brien Breakdown of academic impact, for papers by Peter C. Greif Breakdown of academic impact, for papers by Marie Coffin Breakdown of academic impact, for papers by Brian E. Howard Breakdown of academic impact, for papers by Aaron W. Miller Breakdown of academic impact, for papers by Ebi K. Kimanani Breakdown of academic impact, for papers by Freeman Breakdown of academic impact, for papers by A. Gerami Breakdown of academic impact, for papers by Yumou Qiu Breakdown of academic impact, for papers by Sanjeena Subedi
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