Data · dataset · 2026
Digital and Smart Technologies in Greenhouse Production: A Bibliometric Review of Global Trends and Türkiye's Strategic Position
Listed in Teesside University Research Data Repository
This dataset contains the reproducible analysis code accompanying the review article "Digital and Smart Technologies in Greenhouse Production: A Bibliometric Review of Global Trends and Türkiye's Strategic Position" (submitted to Smart Agricultural Technology).
Description
The Python pipeline computes all bibliometric indicators and generates every figure reported in the paper from a Scopus export: annual scientific production, most relevant sources, most cited documents, country production and international collaboration, most productive authors, co-authorship networks, author-keyword co-occurrence, thematic mapping, trend topics, and reference co-citation.
The corpus was retrieved from Scopus (2 February 2026) using a Title-Abstract-Keyword Boolean query combining greenhouse/controlled-environment terms with digital and smart-technology terms, restricted to English-language articles and reviews published between 2010 and 2025 (2,437 documents). The exact query is documented in the included README. The raw Scopus records are NOT included, because Scopus's terms of use do not permit their redistribution.
Read the rest (1 more)
To reproduce the analysis, users export their own result set from Scopus (CSV with full record information, including references) and place it in the repository root as scopus_export.csv, then run the numbered scripts in order as described in the README. Requirements: Python 3.10+, with pandas, numpy, matplotlib, and networkx. Code is released under the MIT License.
Links
Where it is published
- DOI doi.org/10.17632/kpzxkpp8mg.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kpzxkpp8mg.1 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |