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The Impact of International Collaborations with Highly Publishing Countries in Computer Science

Alberto Gomez Espes, Michael Faerber, Adam Jatowt

TL;DR

This study investigates how international collaborations in Computer Science, particularly among China, the European Union, and the United States, shape publication output, impact, and integrity, using OpenAlex-derived bibliometrics augmented with HDI data. It stratifies collaborations into US-EU-CN, Mixed, and Other groups to assess differences in publication volume, retraction rates, and citations, and examines how Very High and Low HDI contexts modulate these effects. Key findings include the dominance of the US-EU-CN trio in international coauthorship, lower retraction rates when these regions collaborate, and higher citations when Very High Developed countries participate, with AI emerging as the leading topic across years. The work highlights the value of inclusive, ethical international collaboration and suggests policy-relevant strategies for diversifying partnerships and strengthening research integrity in global Computer Science.

Abstract

This paper analyzes international collaborations in Computer Science, focusing on three major players: China, the European Union, and the United States. Drawing from a comprehensive literature review, we examine collaboration patterns, research impact, retraction rates, and the role of the Development Index in shaping research outcomes. Our findings show that while China, the EU, and the US lead global research efforts, other regions are narrowing the gap in publication volume. Collaborations involving these key regions tend to have lower retraction rates, reflecting stronger adherence to scientific standards. We also find that countries with a Very High Development Index contribute to research with higher citation rates and fewer retractions. Overall, this study highlights the value of international collaboration and the importance of inclusive, ethical practices in advancing global research in Computer Science.

The Impact of International Collaborations with Highly Publishing Countries in Computer Science

TL;DR

This study investigates how international collaborations in Computer Science, particularly among China, the European Union, and the United States, shape publication output, impact, and integrity, using OpenAlex-derived bibliometrics augmented with HDI data. It stratifies collaborations into US-EU-CN, Mixed, and Other groups to assess differences in publication volume, retraction rates, and citations, and examines how Very High and Low HDI contexts modulate these effects. Key findings include the dominance of the US-EU-CN trio in international coauthorship, lower retraction rates when these regions collaborate, and higher citations when Very High Developed countries participate, with AI emerging as the leading topic across years. The work highlights the value of inclusive, ethical international collaboration and suggests policy-relevant strategies for diversifying partnerships and strengthening research integrity in global Computer Science.

Abstract

This paper analyzes international collaborations in Computer Science, focusing on three major players: China, the European Union, and the United States. Drawing from a comprehensive literature review, we examine collaboration patterns, research impact, retraction rates, and the role of the Development Index in shaping research outcomes. Our findings show that while China, the EU, and the US lead global research efforts, other regions are narrowing the gap in publication volume. Collaborations involving these key regions tend to have lower retraction rates, reflecting stronger adherence to scientific standards. We also find that countries with a Very High Development Index contribute to research with higher citation rates and fewer retractions. Overall, this study highlights the value of international collaboration and the importance of inclusive, ethical practices in advancing global research in Computer Science.
Paper Structure (22 sections, 9 figures, 2 tables)

This paper contains 22 sections, 9 figures, 2 tables.

Figures (9)

  • Figure 1: Number of publications in collaboration with the US-EU-CN
  • Figure 2: Number of publications in collaboration without the US-EU-CN
  • Figure 3: Amount of collaborations grouped Relation Group by Year
  • Figure 4: Average citations by average HDI and Relation Group
  • Figure 5: Most researched concepts by the US-EU-CN
  • ...and 4 more figures