Question 1

Which countries lead Artificial Intelligence research?

Accepted Answer

On research quality in 2022-now, the United States, China and Germany rank highest in Artificial Intelligence. By volume, China and the United States publish the most (159k and 81k works in 2022-now).

Question 2

Which institutions lead Artificial Intelligence research?

Accepted Answer

Chinese Academy of Sciences (China) ranks first in Artificial Intelligence on research quality in 2022-now, followed by Alphabet (United States) and Stanford University.

Question 3

Who are the leading researchers in Artificial Intelligence?

Accepted Answer

Counting only their work in Artificial Intelligence, Christopher D. Manning, Seyedali Mirjalili and Erik Cambria have the most papers in the world top 10% for their subfield and year beyond the 10% expected.

Question 4

Where is Artificial Intelligence research done?

Accepted Answer

The largest centres of Artificial Intelligence research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chertsey, Rorschach and Issy-les-Moulineaux.

Question 5

Where is the best place to study Artificial Intelligence?

Accepted Answer

Among universities, judged by research, Stanford University, Nanyang Technological University and Massachusetts Institute of Technology score highest, combining standing in the field's ranking, excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

Question 6

Is Artificial Intelligence research growing?

Accepted Answer

Output in 2022-2025 was 53% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are AI in cancer detection, Privacy-Preserving Technologies in Data and Anomaly Detection Techniques and Applications.

Question 7

What are the most cited papers in Artificial Intelligence?

Accepted Answer

The most cited paper in Artificial Intelligence is "Deep Residual Learning for Image Recognition" (Kaiming He, Xiangyu Zhang, Shaoqing Ren et al., 2016), with 229,585 citations. Next come "Random Forests" (132,956) and "Long Short-Term Memory" (102,418).

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