Abstract:

As the field of bibliometrics gradually shifts towards open data, OpenAlex becomes an increasingly popular data source for analysis. However, bibliometric analysis through network visualization is still mostly conducted with proprietary databases, which impacts the reproducibility of the results. In this paper, we provide a feasibility study for analyzing the academic landscape surrounding emerging technologies, using the case of quantum computing hardware, in order to assess the construction of bibliographic networks with OpenAlex data and VOSviewer. The tools were able to produce subject similarity networks through bibliographic coupling, collaboration networks through coauthorship analysis and co-occurrence networks with OpenAlex concepts. However, this study highlights several limitations, notably the lack of interactability with static VOSviewer representations, which can conceal important data points, and no support for co-citation analysis.

Research Paper:

article

Source: 28th International Conference on Science, Technology and Innovation Indicators (STI2024)

BibTex:

@proceedings{sand_2024_13959607,
title = {Bibliometric Network Visualization with OpenAlex:
An Analysis of the Quantum Computing Hardware
Ecosystem
},
year = 2024,
publisher = {Zenodo},
month = oct,
doi = {10.5281/zenodo.13959607},
url = {https://doi.org/10.5281/zenodo.13959607},
}