mlsanityData to 14 Oct 2026

Analyzing the Impact of Companies on AI Research Based on Publications

arXiv 2310.20444 ↗First posted 31 Oct 2023cs.AI cs.DL cs.IRcited by 5

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Abstract (arXiv)

Artificial Intelligence (AI) is one of the most momentous technologies of our time. Thus, it is of major importance to know which stakeholders influence AI research. Besides researchers at universities and colleges, researchers in companies have hardly been considered in this context. In this article, we consider how the influence of companies on AI research can be made measurable on the basis of scientific publishing activities. We compare academic- and company-authored AI publications published in the last decade and use scientometric data from multiple scholarly databases to look for differences across these groups and to disclose the top contributing organizations. While the vast majority of publications is still produced by academia, we find that the citation count an individual publication receives is significantly higher when it is (co-)authored by a company. Furthermore, using a variety of altmetric indicators, we notice that publications with company participation receive considerably more attention online. Finally, we place our analysis results in a broader context and present targeted recommendations to safeguard a harmonious balance between academia and industry in the realm of AI research.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 17 of its 56 references that are in the map. First posted on arXiv 31 Oct 2023.

Builds on

17 of 56 references.

References · 17

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5 more
  1. 2020No computation without representation: Avoiding data and algorithm biases through diversitycited by 8
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  5. 2016Citation Analysis with Microsoft Academiccited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 2; 2026: 2.

5 papers.