Tim Churches

61 papers receiving 1.5k citations

Peers

Tim Churches
Comparison fields: 5 of 134
  • Management Science and Operations Research 529
  • Modeling and Simulation 71
  • Artificial Intelligence 400
  • Epidemiology 329
  • Information Systems 253
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Citations per year

Countries citing papers authored by Tim Churches

Since Specialization
Citations

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

Fields of papers citing papers by Tim Churches

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comparison of Fast Blocking Methods for Record Linkage
2003250
2 2003219
3 2004106
4 200598
5 200287
6 200486
7 200953
8 200750
9 201049
10
Progression and impact of the first winter wave of the 2009 pandemic H1N1 influenza in New South Wales, Australia.
200949
11 201145
12
A Probabilistic Geocoding System based on a National Address File
200429
13
Febrl - Freely extensible biomedical record linkage
200228
14 200927
15 201227
16 200423
17
BMC Medical Informatics and Decision Making
200422
18 199121
19 199720
20 199119

About Tim Churches

Tim Churches is a scholar working on Epidemiology, Management Science and Operations Research, Artificial Intelligence, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Quality and Management (13 papers), Data-Driven Disease Surveillance (9 papers), COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (5 papers), Global Cancer Incidence and Screening (4 papers), Injury Epidemiology and Prevention (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Management Science and Operations Research (529 citations), Modeling and Simulation (71 citations), Artificial Intelligence (400 citations), Epidemiology (329 citations) and Information Systems (253 citations). Tim Churches has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Peter Christen, Rohan A. Baxter, David Muscatello, Louisa Jorm, Kim Lim, Wei Xing Zheng, Markus Hegland, Sarah Thackway, Clayton Chiu and Raphael Grzebieta. Their work appears in journals such as BMC Public Health, Journal of the American Medical Informatics Association, BMC Medical Research Methodology, BMC Infectious Diseases and BMC Medical Informatics and Decision Making.

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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