Software Open Access
The German and International AI Network Data Set
Stubbemann, Maximilian;
Koopmann, Tobias
This project provides Python scripts to generate publication data sets of scientific authors in the realm of artificial intelligence. A light version of the resulting data set (which is just based on information from DBLP) is also included.
If you use this data, we encourage you to cite our paper. You can use the following BibTeX code to do so:
@article{koopmann21,
title={Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research},
author={Koopmann, Tobias and Stubbemann, Maximilian and Kapa, Matthias and Paris, Michael and Buenstorf, Guido and Hanika, Tom and Hotho, Andreas and J{\"a}schke, Robert and Stumme, Gerd},
journal={Scientometrics},
pages={1--22},
year={2021},
publisher={Springer}
}
Files
(429.5 MB)
| Name | Size | |
|---|---|---|
|
german_ai_v2.zip
md5:eb072f974917754167b39b7a57e4c159 |
429.5 MB | Download |
154
34
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 154 | 72 |
| Downloads | 34 | 29 |
| Data volume | 14.6 GB | 12.5 GB |
| Unique views | 114 | 58 |
| Unique downloads | 20 | 16 |
Indexed in
- Publication date:
- July 4, 2020
- DOI:
-
- License (for files):
- Creative Commons Attribution Share Alike 4.0 International