Scopus Bibliometric Mapping Project

I already have a complete Scopus export that spans every year available on the topic of historical consciousness in history education. What I now need is a rigorous bibliometric study that turns those raw records into a clear, data-driven narrative about how the field has developed, who and what shapes it, and where new work is heading. We will use Bibliometrix for descriptive analysis and VOSviewer for visualisation. I want an integrated package that covers both classic descriptive indicators and rich network visualisations. Specifically, the study must: • Quantify yearly publication and citation growth, spotlighting the most influential authors, journals, institutions, countries and individual papers. • Generate and interpret three network maps—co-authorship, keyword co-occurrence and citation—highlighting clusters, central actors and collaboration patterns. • Track how thematic clusters and research emphases have evolved across the entire time span and identify the emerging lines of inquiry now influencing the field. I will share the dataset, search string and an outline of my broader project the moment we agree on the workflow. Please provide: • Editable files and full-resolution PNG/SVG images ready for insertion into a manuscript or presentation. • A concise methods note (data cleaning steps, thresholds, clustering parameters) so the analysis can be replicated or extended later. • A brief written synthesis tying the quantitative results back to the six guiding questions of the larger project. 1. DATA CLEANING AND PREPROCESSING 1.1 Duplicate Removal Check for: • Duplicate DOI • Duplicate titles • Duplicate records caused by multiple export batches 1.2 Author Name Standardisation Check variations such as: • Surname + initials • Full surname + full first name • Different initials • Name variations caused by Scopus indexing 1.3 Keyword Cleaning Create a controlled thesaurus for VOSviewer/Bibliometrix. For example: • historical consciousness • historical consciousnesses Similarly check: • history education • history teaching • history learning • history instruction Prepare a keyword-cleaning table with: Original term Standardised term Action Rationale 2. SOFTWARE Use at least two complementary analytical environments. Primary software Bibliometrix/Biblioshiny (R) Use it for: Descriptive bibliometric analysis • Annual scientific production • Sources • Authors • Countries • Citation analysis • Thematic analysis • Thematic evolution • Conceptual structure • Collaboration analysis Network visualisation Use VOSviewer for: • Keyword co-occurrence • Author collaboration • Country collaboration • Citation networks • Bibliographic coupling • Co-citation networks If appropriate, use Gephi for additional network analysis and more sophisticated network visualisation. Retain the original project files and analysis scripts. NETWORK STATISTICS For major networks, report meaningful network indicators where available: • Nodes • Edges • Density • Degree centrality • Betweenness centrality • Total link strength • Clustering/community structure 30. REQUIRED VISUAL OUTPUTS The final analysis should ideally produce the following visual portfolio. Core figures 1. Annual publication growth 2. Geographic distribution 3. Country collaboration network 4. Author collaboration network 5. Institutional collaboration network 6. Keyword co-occurrence network 7. Keyword overlay visualisation 8. Keyword density map 9. Citation network 10. Co-citation network 11. Bibliographic coupling network 12. Conceptual structure/MCA 13. Thematic map 14. Thematic evolution 15. Temporal keyword evolution INFOGRAPHICS FOR THE MANUSCRIPT In addition to conventional bibliometric maps, prepare publication-quality conceptual infographics. Infographic 1: Evolution of the field A timeline showing: Foundational period → expansion → diversification → contemporary research with major themes and representative publications. Infographic 2: Intellectual structure Show the major intellectual schools surrounding historical consciousness. Infographic 3: Conceptual structure Show relationships among major concepts such as: Historical consciousness → historical thinking → historical interpretation → identity → memory → historical culture → history education Only include relationships supported by the literature. Infographic 4: Research ecosystem Show: Authors → institutions → countries → journals → themes → research fronts Infographic 5: Emerging research agenda Show the major emerging areas and possible future research directions identified from the bibliometric evidence. TABLES REQUIRED FOR THE MANUSCRIPT Prepare at least: Table 1 Dataset characteristics Table 2 Top journals Table 3 Top authors Table 4 Most cited publications Table 5 Top countries/institutions Table 6 Top keywords Table 7 Major conceptual/thematic clusters Table 8 Emerging research themes Table 9 Thematic evolution across periods Where possible, provide supplementary tables containing the complete rankings. Flies needed: Save the following files: 1. Raw Scopus export 2. Cleaned dataset 3. Keyword thesaurus 4. Author-cleaning file 5. Bibliometrix/R files 6. VOSviewer project files 7. VOSviewer network files 8. Generated maps 9. Tables 10. Figures 11. Data-cleaning log 12. Analysis protocol VISUAL QUALITY REQUIREMENTS All figures must be publication quality. Use: • high resolution • readable labels • consistent typography • consistent terminology • clear legends • appropriate node sizes • meaningful cluster labels • white/transparent backgrounds where appropriate • vector format where possible Where possible, export figures as: • SVG • PDF • TIFF at publication resolution • high-resolution PNG

Project ID: 40656880