Sofia Dias

17.9k citations
186 papers · 13.2k · 13 hit papers · h-index 52

Impact in

Papers in

Sofia Dias

177 papers receiving 12.8k citations

Sofia Dias's Hit Papers

Twenty years of network meta‐analysis: Continuing controversies and recent developments 2024 · 55 citations
550+5+10Years since publication50010001.5k

Peers

Sofia Dias
Comparison fields: 5 of 181
  • Statistics, Probability and Uncertainty 1.4k
  • Statistics and Probability 933
  • Obstetrics and Gynecology 491
  • Internal Medicine 215
  • Experimental and Cognitive Psychology 785
Replace Deborah M Caldwell with:
Deborah M Caldwell United Kingdom
Anna Chaimani France
Jeroen Paul Jansen United States
Joseph C. Cappelleri United States
Mark Stephen Corbett United Kingdom
Daniela R. Junqueira Canada
Dimitris Mavridis Greece
Roy G. Elbers Netherlands
Jason Walter Busse Canada
Suhail A.R. Doi Australia
Sofia Dias relative to Deborah M Caldwell United Kingdom Deborah M Caldwell's profile →
Citations per field
00.5×1.5×1.9×
Deborah M Caldwell · 1×
Citations per year

Countries citing papers authored by Sofia Dias

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Checking consistency in mixed treatment comparison meta‐analysis
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20101960
2
Evidence Synthesis for Decision Making 2
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20121012
3
Evidence Synthesis for Decision Making 4
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2013610
4
Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals
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2012600
5
Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis
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2015514
6
NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials
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2011509
7
Psychological and pharmacological interventions for social anxiety disorder in adults: a systematic review and network meta-analysis
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2014486
8
Oral anticoagulants for prevention of stroke in atrial fibrillation: systematic review, network meta-analysis, and cost effectiveness analysis
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2017431
9
Evidence Synthesis for Decision Making 3
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2013388
10
Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal
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2017279
11 2018266
12 2006261
13
How does exercise treatment compare with antihypertensive medications? A network meta-analysis of 391 randomised controlled trials assessing exercise and medication effects on systolic blood pressure
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2018243
14
Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study
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2020211
15 2014207
16
NICE DSU Technical Support Document 4: Inconsistency in Networks of Evidence Based on Randomised Controlled Trials.
2011171
17 2017161
18 2014148
19
NICE DSU TECHNICAL SUPPORT DOCUMENT 3: HETEROGENEITY: SUBGROUPS, META-REGRESSION, BIAS AND BIAS-ADJUSTMENT
2011145
20
NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE
2016144

About Sofia Dias

Sofia Dias is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Economics and Econometrics, Obstetrics and Gynecology and Experimental and Cognitive Psychology, having authored 186 papers that have together received 13.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (44 papers), Health Systems, Economic Evaluations, Quality of Life (32 papers), Statistical Methods in Clinical Trials (28 papers), Statistical Methods and Bayesian Inference (10 papers), Mental Health Research Topics (10 papers), Asthma and respiratory diseases (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Advanced Causal Inference Techniques (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), Statistics and Probability (933 citations), Obstetrics and Gynecology (491 citations), Internal Medicine (215 citations) and Experimental and Cognitive Psychology (785 citations). Sofia Dias has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nicky J. Welton, A. E. Ades, Deborah M Caldwell, Alex J. Sutton, David Phillippo, Guobing Lu, Gert van Valkenhoef, Kayleigh M Kew, Ifigeneia Mavranezouli and Stephen Pilling. Their work appears in journals such as Cochrane Database of Systematic Reviews, Research Synthesis Methods, Health Technology Assessment, Medical Decision Making and Value in Health.

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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