Yoshua Bengio is the first researcher to surpass 1,000,000 Google Scholar citations, marking a landmark in AI research. The original GAN paper (Goodfellow et al.) has about 105,000 citations, while Einstein's 1915 general relativity paper has roughly 11,000. Bengio and Geoffrey Hinton warn of "existential risks" from advanced AI, a view disputed by Yann LeCun.
Yoshua Bengio Becomes First Scholar to Surpass 1,000,000 Google Scholar Citations
Yoshua Bengio is the first researcher to surpass 1,000,000 Google Scholar citations, marking a landmark in AI research. The original GAN paper (Goodfellow et al.) has about 105,000 citations, while Einstein's 1915 general relativity paper has roughly 11,000. Bengio and Geoffrey Hinton warn of "existential risks" from advanced AI, a view disputed by Yann LeCun.

Yoshua Bengio hits 1,000,000 citations on Google Scholar
Yoshua Bengio, widely recognized as one of the three "Godfathers of AI," has become the first researcher to exceed 1,000,000 citations on Google Scholar. The milestone reflects decades of foundational contributions to deep learning, representation learning, and probabilistic generative models.
While the original generative adversarial network (GAN) paper is credited to Ian Goodfellow et al. and has amassed roughly 105,000 citations, Bengio's body of work — including advances in training deep neural networks and generative methods — has been deeply influential across AI research. For context, Einstein's 1915 paper on general relativity has about 11,000 citations on Google Scholar.
"AI poses existential risks to humanity," Bengio told Nature, expressing concerns shared by Geoffrey Hinton.
Notably, the three leading figures in early deep learning disagree on long-term risks. Bengio and Geoffrey Hinton have warned about potential existential threats from advanced AI, while Yann LeCun, Meta's chief AI scientist, has dismissed those warnings as overstated.
This milestone underlines both the rapid rise of AI research and the continuing debate among its pioneers about how to guide the technology's future responsibly.
