---
title: "The Data Infrastructure of the German Kompetenznetzwerk…"
description: "3 papers in the tracked journals link to the Zenodo dataset The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis in their Crossref records, the first in 2025; most of them (2) in 2025."
url: https://scholar4ai.com/code/zenodo-13935407
markdown_url: https://scholar4ai.com/code/zenodo-13935407.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the Zenodo dataset The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis in their Crossref records, the… (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis: papers linking to it

Research papers in the 480 tracked journals that link to The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis (https://doi.org/10.5281/zenodo.13935407), 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.

- Zenodo
- Preprint
- 2024
- https://doi.org/10.5281/zenodo.13935407

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the Zenodo dataset The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis in their Crossref records, the first in 2025; most of them (2) in 2025.
- By category: Higher Education and Research (3); the journals with the most are Scientometrics (3).
- 2 of the papers build on one another: a later paper cites an earlier one that also links The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis.

## By year

*Papers linking to The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis by publication year*

| Year | Papers |
|---|---:|
| 2025 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis most*

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 3 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [How to use assignments of United Nations sustainable development goals (SDGs) to scientific papers in research evaluation? The proposal of a gold standard combining assignments from different data providers](https://doi.org/10.1007/s11192-025-05254-w) (Scientometrics, 2025)
  - [Mapping national and institutional research that targets Sustainable Development Goals using OpenAlex data](https://doi.org/10.1007/s11192-026-05680-4) (Scientometrics, 2026) — cites the paper above

## Papers

*Papers linking to The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-03-01 | [How to use assignments of United Nations sustainable development goals (SDGs) to scientific papers in research evaluation? The proposal of a gold standard combining assignments from different data providers](https://doi.org/10.1007/s11192-025-05254-w) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Rüdiger Mutz, Lutz Bornmann, Robin Haunschild | 6 | cites it |
| 2025-08-01 | [Estimating transformative agreement impact on hybrid open access: a comparative large-scale study using Scopus, Web of Science and open metadata](https://doi.org/10.1007/s11192-025-05390-3) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Najko Jahn | 6 | cites it |
| 2026-06-12 | [Mapping national and institutional research that targets Sustainable Development Goals using OpenAlex data](https://doi.org/10.1007/s11192-026-05680-4) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Robin Haunschild, Lutz Bornmann | 0 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-13935407

```bibtex
@misc{scholar4ai-code-zenodo-13935407,
  author = {{Scholar4AI}},
  title = {The Data Infrastructure of the German Kompetenznetzwerk Bibliometrie: An Enabling Intermediary between Raw Data and Analysis: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-13935407}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).