activity
20092023
most citedInternational Research Collaboration: Novelty, Conventionality, and Atypicality in Knowledge Recombination

246 citations · 467 across the 32 of their papers we have counts for

collaborators

34 papers

cs.AI2023

Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers

Chao Min, Yi Zhao, Yi Bu +2

Artificial Intelligence (AI), a cornerstone of 21st-century technology, has seen remarkable growth in China. In this paper, we examine China's AI development process, demonstrating…

stat.OT2023★ 8 cited

Developing an Index of National Research Capacity

Caroline S. Wagner, Travis A. Whetsell

Public managers lack feedback on the effectiveness of public investments, policies, and programs instituted to build and use research capacity. Numerous reports rank countries on g…

cs.DL2022★ 10 cited

Changes in co-publication patterns among China, the European Union (28) and the United States of America, 2016-2021

Caroline S. Wagner, Xiaojing Cai

The COVID-19 global pandemic starting in January 2020 disrupted international collaborations in scholarly exchange, reducing mobility and connections across the globe. An examinati…

cs.DL2022★ 27 cited

One-Year In: COVID-19 Research at the International Level in CORD-19 Data

Caroline S. Wagner, Xiaojing Cai, Yi Zhang +1

The appearance of a novel coronavirus in late 2019 radically changed the community of researchers working on coronaviruses since the 2002 SARS epidemic. In 2020, coronavirus-relate…

cs.DL2022

A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese papers

Caroline S. Wagner, Lin Zhang, Loet Leydesdorff

The top 1 percent most highly cited articles are watched closely as the vanguards of the sciences. Using Web of Science data, one can find that China had overtaken the USA in the r…

cs.DL2020

Are University Rankings Statistically Significant? A Comparison among Chinese Universities and with the USA

Loet Leydesdorff, Caroline S. Wagner, Lin Zhang

Purpose: We address the question of whether differences are statistically significant in the rankings of universities. We propose methods measuring the statistical significance amo…