Healthcare Bibliometric Analysis Using Scopus
Budget: ₹1,500 – ₹12,500 INR
I have already gathered my search strategy and will retrieve the full record and cited-reference data from Scopus; what I need now is a complete bibliometric exploration of the healthcare domain across all available publication years. Please run the data through VOSviewer, CiteSpace and Biblioshiny so that I receive the complementary strengths of each platform—VOSviewer’s clear network visualisations, CiteSpace’s timeline and burst detection, and Biblioshiny’s interactive dashboards.
The core tasks are:
• Clean and deduplicate the raw Scopus export.
• Generate co-authorship, co-citation, keyword co-occurrence and thematic evolution maps in VOSviewer.
• Produce CiteSpace timelines, cluster labels and citation burst tables.
• Build a Biblioshiny project I can open locally, pre-loaded with descriptive indicators, collaboration world maps and thematic evolution plots.
Deliverables must include high-resolution PNG/SVG images of every network and timeline, the working .NET or .CSV files ready for each tool, the Biblioshiny .rds project, and a brief methods note so that I can replicate the workflow if needed. I will consider the work complete when every visualisation is supplied, the data files open without error in each respective application, and the methods note matches the figures generated.
The core tasks are:
• Clean and deduplicate the raw Scopus export.
• Generate co-authorship, co-citation, keyword co-occurrence and thematic evolution maps in VOSviewer.
• Produce CiteSpace timelines, cluster labels and citation burst tables.
• Build a Biblioshiny project I can open locally, pre-loaded with descriptive indicators, collaboration world maps and thematic evolution plots.
Deliverables must include high-resolution PNG/SVG images of every network and timeline, the working .NET or .CSV files ready for each tool, the Biblioshiny .rds project, and a brief methods note so that I can replicate the workflow if needed. I will consider the work complete when every visualisation is supplied, the data files open without error in each respective application, and the methods note matches the figures generated.
Related categories:
Scientific Research