# Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance

arXiv: https://arxiv.org/abs/2012.13560 · HTML: https://mlsanity.com/paper/2012.13560/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Dec 2020.

## Built on by (most cited first, 2 of 2)

- [Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers](https://mlsanity.com/paper/2307.10198/) (2023)
- [Internationalizing AI: Evolution and Impact of Distance Factors](https://mlsanity.com/paper/2112.01231/) (2021)

## Abstract (arXiv)

This paper analyzes team collaboration in the field of Artificial Intelligence (AI) from the perspective of geographic distance. We obtained 1,584,175 AI related publications during 1950-2019 from the Microsoft Academic Graph. Three latitude-and-longitude-based indicators were employed to quantify the geographic distance of collaborations in AI over time at domestic and international levels. The results show team collaborations in AI has been more popular in the field over time with around 42,000 (38.4%) multiple-affiliation AI publications in 2019. The changes in geographic distances of team collaborations indicate the increase of breadth and density for both domestic and international collaborations in AI over time. In addition, the United States produced the largest number of single-country and internationally collaborated AI publications, and China has played an important role in international collaborations in AI after 2010.