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.
The Healthy Activity Program (HAP), a lay counsellor-delivered brief psychological treatment for severe depression, in primary care in India: a randomised controlled trial
2016280 citationsRicardo Araya, A‐La Park et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of David McDaid'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 McDaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David McDaid more than expected).
This network shows the impact of papers produced by David McDaid. 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 McDaid. The network helps show where David McDaid may publish in the future.
Co-authorship network of co-authors of David McDaid
This figure shows the co-authorship network connecting the top 25 collaborators of David McDaid.
A scholar is included among the top collaborators of David McDaid 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 David McDaid. David McDaid is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McDaid, David & A‐La Park. (2016). Evidence on Financing and Budgeting Mechanisms to Support Intersectoral Actions Between Health, Education, Social Welfare and Labour Sectors. LSE Research Online Documents on Economics.3 indexed citations
Shemilt, Ian, Miranda Mugford, Sarah Byford, et al.. (2015). Campbell Collaboration Methods Policy Brief: Economics Methods. Oslo: The Campbell Collaboration. UEA Digital Repository (University of East Anglia).5 indexed citations
13.
Knapp, Martín, Alison Andrew, David McDaid, et al.. (2014). Investing in recovery: making the business case for effective interventions for people with schizophrenia and psychosis. London School of Economics and Political Science Research Online (London School of Economics and Political Science).9 indexed citations
14.
McDaid, David, Miriam Wiley, Anna Maresso, & Elías Mossialos. (2009). Ireland: health system review. London School of Economics and Political Science Research Online (London School of Economics and Political Science).43 indexed citations
15.
McDaid, David & Justin J. Needle. (2007). The Use of Economic Evaluation for Public Health Interventions' Desert or Oasis? A Systematic Review of the Literature. SSRN Electronic Journal.1 indexed citations
16.
Jenkins, Rachel, Stuart Lancashire, David McDaid, et al.. (2007). Mental Health Reform in Russia –an integrated approach to achieve social inclusion and recovery. Bulletin of the World Health Organization.1 indexed citations
17.
McDaid, David, et al.. (2006). Financing mental health: equity and efficiency concerns for low and middle income countries. London School of Economics and Political Science Research Online (London School of Economics and Political Science).1 indexed citations
18.
McDaid, David. (2002). Addressing inequalities in mental health across Europe. London School of Economics and Political Science Research Online (London School of Economics and Political Science).2 indexed citations
19.
McDaid, David. (2001). European health technology assessment: quo vadis?. London School of Economics and Political Science Research Online (London School of Economics and Political Science).1 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.