Chris Mavergames

4.1k total citations · 2 hit papers
12 papers, 1.1k citations indexed

About

Chris Mavergames is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Chris Mavergames has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics, Probability and Uncertainty, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Molecular Biology. Recurrent topics in Chris Mavergames's work include Meta-analysis and systematic reviews (7 papers), Clinical practice guidelines implementation (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Chris Mavergames is often cited by papers focused on Meta-analysis and systematic reviews (7 papers), Clinical practice guidelines implementation (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Chris Mavergames collaborates with scholars based in United Kingdom, Australia and United States. Chris Mavergames's co-authors include James Thomas, Julian Elliott, Lorne A Becker, Rebecca Fish, Susanna Dodd, Mike Clarke, Paula Williamson, Tari Turner, Ornella Clavisi and Russell L. Gruen and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology and PLoS Medicine.

In The Last Decade

Chris Mavergames

12 papers receiving 1.1k citations

Hit Papers

A taxonomy has been developed for outcomes in medical res... 2014 2026 2018 2022 2017 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery
    2017 371 citations Susanna Dodd, Mike Clarke et al. Journal of Clinical Epidemiology profile →
  2. Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap
    2014 332 citations Julian Elliott, Tari Turner et al. PLoS Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Mavergames United Kingdom 8 254 206 187 184 166 12 1.1k
Denise Thomson Canada 17 149 0.6× 158 0.8× 191 1.0× 115 0.6× 215 1.3× 37 1.2k
Carole Lunny Canada 20 166 0.7× 277 1.3× 304 1.6× 96 0.5× 364 2.2× 58 1.7k
Philip Alderson United Kingdom 7 240 0.9× 444 2.2× 292 1.6× 180 1.0× 309 1.9× 9 1.7k
Naomi A Mckoy United States 10 71 0.3× 199 1.0× 166 0.9× 152 0.8× 226 1.4× 12 1.0k
Yasushi Tsujimoto Japan 18 70 0.3× 167 0.8× 134 0.7× 173 0.9× 116 0.7× 126 1.2k
Allison Gates Canada 21 101 0.4× 347 1.7× 285 1.5× 73 0.4× 378 2.3× 51 1.5k
Michelle Pollock Canada 10 106 0.4× 170 0.8× 220 1.2× 46 0.3× 192 1.2× 13 1.0k
Jacques Le Lorier Canada 10 76 0.3× 173 0.8× 281 1.5× 89 0.5× 179 1.1× 21 1.3k
Amélie Yavchitz France 14 99 0.4× 135 0.7× 352 1.9× 124 0.7× 120 0.7× 32 973
J. Jason Lundy United States 11 108 0.4× 160 0.8× 50 0.3× 66 0.4× 246 1.5× 19 1.1k

Countries citing papers authored by Chris Mavergames

Since Specialization
Citations

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

Fields of papers citing papers by Chris Mavergames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Mavergames

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

All Works

12 of 12 papers shown
1.
Affengruber, Lisa, Barbara Nußbaumer-Streit, Candyce Hamel, et al.. (2024). Rapid review methods series: Guidance on the use of supportive software. BMJ evidence-based medicine. 29(4). 264–271. 8 indexed citations
2.
Shemilt, Ian, Anna H Noel-Storr, James Thomas, Robin Featherstone, & Chris Mavergames. (2022). Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier. Systematic Reviews. 11(1). 15–15. 20 indexed citations
3.
Noel-Storr, Anna H, Gordon Dooley, Julian Elliott, et al.. (2021). An evaluation of Cochrane Crowd found that crowdsourcing produced accurate results in identifying randomized trials. Journal of Clinical Epidemiology. 133. 130–139. 92 indexed citations
4.
Thomas, James, Steve McDonald, Anna H Noel-Storr, et al.. (2020). Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews. Journal of Clinical Epidemiology. 133. 140–151. 152 indexed citations
5.
Mavergames, Chris, et al.. (2019). Cochrane's Linked Data Project: How it Can Advance our Understanding of Surrogate Endpoints. The Journal of Law Medicine & Ethics. 47(3). 374–380. 1 indexed citations
6.
Turner, Tari, et al.. (2018). Facilitating Web-Based Collaboration in Evidence Synthesis (TaskExchange): Development and Analysis. JMIR Research Protocols. 7(12). e188–e188. 3 indexed citations
7.
Dodd, Susanna, Mike Clarke, Lorne A Becker, et al.. (2017). A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery. Journal of Clinical Epidemiology. 96. 84–92. 371 indexed citations breakdown →
8.
Slaughter, Laura, et al.. (2015). Enabling Living Systematic Reviews and Clinical Guidelines through Semantic Technologies. D-Lib Magazine. 21(1/2). 3 indexed citations
9.
Elliott, Julian, Tari Turner, Ornella Clavisi, et al.. (2014). Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap. PLoS Medicine. 11(2). e1001603–e1001603. 332 indexed citations breakdown →
10.
Mavergames, Chris, et al.. (2013). Systematic Reviews as an Interface to the Web of (Trial) Data: using PICO as an Ontology for Knowledge Synthesis in Evidence-based Healthcare Research.. 22–26. 4 indexed citations
11.
Kew, Kayleigh M, Chris Mavergames, & Julia AE Walters. (2013). Long-acting beta2-agonists for chronic obstructive pulmonary disease. Cochrane Database of Systematic Reviews. 2013(10). CD010177–CD010177. 84 indexed citations
12.
Diener, Markus K., Robert Wolff, Erik von Elm, et al.. (2009). Can decision making in general surgery be based on evidence? An empirical study of Cochrane Reviews. Surgery. 146(3). 444–461. 16 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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