David A. Springate

26 papers receiving 2.6k citations

David A. Springate's Hit Papers

Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis 2015 · 667 citations
6670+4+8Years since publication200400600

Peers

David A. Springate
Comparison fields: 5 of 170
  • Ecology, Evolution, Behavior and Systematics 386
  • Applied Microbiology and Biotechnology 30
  • Ecological Modeling 67
  • Statistics, Probability and Uncertainty 94
  • Nature and Landscape Conservation 162
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Countries citing papers authored by David A. Springate

Since Specialization
Citations

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

Fields of papers citing papers by David A. Springate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Springate. 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 David A. Springate. The network helps show where David A. Springate may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
Hit paper breakdown →
2015667
2 2006488
3
A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses
Hit paper breakdown →
2013401
4 2016180
5 2014139
6 2015136
7 2003133
8 201576
9 201472
10 201369
11 201463
12 201648
13 201430
14 201528
15 201526
16 201624
17 201523
18 201718
19 201117
20 201716

About David A. Springate

David A. Springate is a scholar working on Ecology, Evolution, Behavior and Systematics, General Health Professions, Molecular Biology, Genetics and Nature and Landscape Conservation, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (5 papers), Plant and animal studies (5 papers), Genetic diversity and population structure (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Meta-analysis and systematic reviews (3 papers), Healthcare Policy and Management (2 papers), Genomics and Phylogenetic Studies (2 papers) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (386 citations), Applied Microbiology and Biotechnology (30 citations), Ecological Modeling (67 citations), Statistics, Probability and Uncertainty (94 citations) and Nature and Landscape Conservation (162 citations). David A. Springate has collaborated with scholars based in United Kingdom, Qatar and France. Frequent co-authors include Evangelos Kontopantelis, David Reeves, Iain Buchan, T. Doran, Darren M. Ashcroft, Rosa Parisi, Vincent Savolainen, Martyn P. Powell, William J. Baker and Ian Hutton. Their work appears in journals such as PLoS ONE, BMJ, BMJ Open, Nature and British Journal of Dermatology.

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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