Tim Churches

55 papers receiving 1.2k citations

Peers

Tim Churches
Comparison fields: 5 of 139
  • Management Science and Operations Research 363
  • Modeling and Simulation 97
  • Epidemiology 375
  • Health Information Management 47
  • Artificial Intelligence 300
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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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003210
2
A Comparison of Fast Blocking Methods for Record Linkage
2003207
3 200594
4 200492
5 200276
6 200951
7 200750
8
Progression and impact of the first winter wave of the 2009 pandemic H1N1 influenza in New South Wales, Australia.
200948
9 201045
10 201144
11 201227
12 200927
13
A Probabilistic Geocoding System based on a National Address File
200426
14
Febrl - Freely extensible biomedical record linkage
200225
15 199120
16 199720
17
BMC Medical Informatics and Decision Making
200419
18 199118
19 200917
20 201314

About Tim Churches

Tim Churches is a scholar working on Epidemiology, Management Science and Operations Research, Public Health, Environmental and Occupational Health, Artificial Intelligence and Surgery, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (12 papers), Data Quality and Management (11 papers), Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (5 papers), Global Cancer Incidence and Screening (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Total Knee Arthroplasty Outcomes (4 papers). The work is most often cited by research in Management Science and Operations Research (363 citations), Modeling and Simulation (97 citations), Epidemiology (375 citations), Health Information Management (47 citations) and Artificial Intelligence (300 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, Wei Xing Zheng, Kim Lim, Raphael Grzebieta, Jake Olivier, Scott R. Walter and Sarah Thackway. Their work appears in journals such as BMC Public Health, BMC Medical Research Methodology, Accident Analysis & Prevention, BMC Infectious Diseases and BMC Health Services Research.

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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