A. E. Ades
Impact in
- Statistics, Probability and Uncertainty top 0.01%
- Meta-analysis and systematic reviews
- Infectious Diseases top 0.5%
- HIV/AIDS Research and Interventions
Papers in
-
- Meta-analysis and systematic reviews 96
-
- HIV/AIDS Research and Interventions 57
- Co-authors
- Nicky J. Welton (107 shared papers)Sofia Dias (52 shared papers)G. Lu (8 shared papers)Georgia Salanti (4 shared papers)John P. A. Ioannidis (3 shared papers)Julian P. T. Higgins (10 shared papers)Deborah M Caldwell (20 shared papers)Alex J. Sutton (33 shared papers)
- Journals
- Statistics in Medicine (22 papers)Medical Decision Making (19 papers)Research Synthesis Methods (19 papers)The Lancet (11 papers)AIDS (10 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
A. E. Ades
298 papers receiving 32k citations
A. E. Ades's Hit Papers
Peers
Comparison fields: 5 of 196
- Statistics, Probability and Uncertainty 5.1k
- Infectious Diseases 2.9k
- Virology 642
- Statistics and Probability 1.8k
- Hepatology 874
Countries citing papers authored by A. E. Ades
This map shows the geographic impact of A. E. Ades'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 A. E. Ades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. E. Ades more than expected).
Fields of papers citing papers by A. E. Ades
This network shows the impact of papers produced by A. E. Ades. 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 A. E. Ades. The network helps show where A. E. Ades may publish in the future.
Co-authors
The 25 scholars most cited alongside A. E. Ades, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 303 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial Hit paper breakdown → | 2010 | 3065 |
| 2 | Checking consistency in mixed treatment comparison meta‐analysis Hit paper breakdown → | 2010 | 1984 |
| 3 | Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves Hit paper breakdown → | 2012 | 1922 |
| 4 | Combination of direct and indirect evidence in mixed treatment comparisons Hit paper breakdown → | 2004 | 1809 |
| 5 | Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studies Hit paper breakdown → | 2012 | 1635 |
| 6 | Simultaneous comparison of multiple treatments: combining direct and indirect evidence Hit paper breakdown → | 2005 | 1377 |
| 7 | Evidence Synthesis for Decision Making 2 Hit paper breakdown → | 2012 | 1023 |
| 8 | Evaluation of networks of randomized trials Hit paper breakdown → | 2007 | 919 |
| 9 | The Interpretation of Random-Effects Meta-Analysis in Decision Models Hit paper breakdown → | 2005 | 738 |
| 10 | 2006 | 644 | |
| 11 | Automating network meta‐analysis Hit paper breakdown → | 2012 | 634 |
| 12 | Risk of human immunodeficiency virus type 1 transmission through breastfeeding Hit paper breakdown → | 1992 | 617 |
| 13 | Evidence Synthesis for Decision Making 4 Hit paper breakdown → | 2013 | 615 |
| 14 | Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis Hit paper breakdown → | 2015 | 524 |
| 15 | NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials Hit paper breakdown → | 2011 | 509 |
| 16 | Psychological and pharmacological interventions for social anxiety disorder in adults: a systematic review and network meta-analysis Hit paper breakdown → | 2014 | 488 |
| 17 | The natural history of Chlamydia trachomatis infection in women: a multi-parameter evidence synthesis Hit paper breakdown → | 2016 | 404 |
| 18 | 2013 | 391 | |
| 19 | 2006 | 358 | |
| 20 | 1991 | 312 |
About A. E. Ades
A. E. Ades is a scholar working on Statistics, Probability and Uncertainty, Infectious Diseases, Statistics and Probability, Economics and Econometrics and Microbiology, having authored 303 papers that have together received 33.6k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (96 papers), HIV/AIDS Research and Interventions (57 papers), Health Systems, Economic Evaluations, Quality of Life (43 papers), Statistical Methods in Clinical Trials (21 papers), Statistical Methods and Bayesian Inference (17 papers), Reproductive tract infections research (16 papers), Toxoplasma gondii Research Studies (11 papers) and Hepatitis C virus research (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (5.1k citations), Infectious Diseases (2.9k citations), Virology (642 citations), Statistics and Probability (1.8k citations) and Hepatology (874 citations). A. E. Ades has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Nicky J. Welton, Sofia Dias, G. Lu, Georgia Salanti, John P. A. Ioannidis, Julian P. T. Higgins, Deborah M Caldwell, Alex J. Sutton, Guobing Lu and Catherine S Peckham. Their work appears in journals such as Statistics in Medicine, Medical Decision Making, Research Synthesis Methods, The Lancet and AIDS.
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.