Growth Projections and Complexity Rankings: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to Growth Projections and Complexity Rankings (https://doi.org/10.7910/DVN/XTAQMC), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.
Key findings#
- 8 papers in the tracked journals link to the Harvard Dataverse dataset Growth Projections and Complexity Rankings in their Crossref records, the first in 2023; most of them (3) in 2023.
- By category: Economics (7) and Management (1); the journals with the most are World Development (1), Economic Systems (1) and Atlantic Economic Journal (1).
By year#
20232026
| Year | Papers |
|---|---|
| 2023 | 3 |
| 2024 | 2 |
| 2025 | 1 |
| 2026 | 2 |
Journals#
| Journal | Papers |
|---|---|
| World Development | 1 |
| Economic Systems | 1 |
| Atlantic Economic Journal | 1 |
| Journal of Open Innovation Technology Market and Complexity | 1 |
| Empirica | 1 |
How this is measured#
Cite this page
Scholar4AI. (2026). Growth Projections and Complexity Rankings: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/dataverse-xtaqmc
@misc{scholar4ai-code-dataverse-xtaqmc,
author = {{Scholar4AI}},
title = {Growth Projections and Complexity Rankings: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/dataverse-xtaqmc}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}