Analysis of the top 100 most cited AI papers per year from 2020 to 2022: US-based AI research is the most impactful, and Google and Meta have dominated
Zeta AlphaSergi Castella i Sapé
Context & Ripple Effects
This analysis drops into a decade-long measurement fight over whether China or the US leads AI research. An Allen Institute study of 2M+ papers showed Chinese scholars out-publishing Americans every year since 2005 while questioning quality, and a Nikkei-reported study went further, crediting China with leading the US on both output and quality in 2021. Zeta Alpha cuts the other way: restricted to the top 100 most-cited papers each year from 2020 to 2022, US-based work ranks as the most impactful, with Google the dominant organization and Meta alongside it.
First-order effects
Google and Meta's grip on the most-cited-paper lists confirms that corporate labs, not universities, set the citation agenda in frontier AI — attribution, hiring prestige, and benchmark credibility flow toward those two companies.
For the US-vs-China narrative, the citation lens hands the US a counter-metric just as volume-based studies were crowning China.
Second-order effects
Competing measurement efforts respond by refining their own lenses: CSET's later tally of highly cited work puts the Chinese Academy of Sciences first and Google second, showing how much the leader depends on which papers get counted (CSET analysis).
Chinese institutions face pressure to convert raw publication volume into internationally recognized citations, pushing investment toward the high-visibility, compute-heavy research areas where Google and Meta currently win.
Third-order effects
If top-cited AI research keeps concentrating in a handful of US corporate labs, the field's knowledge production consolidates around companies that can also commercialize their findings — blurring the line between academic leadership and market power.
Policy debates over national AI standing shift from counting papers to weighing impact metrics, making bibliometric methodology itself a contested instrument in the US-China technology rivalry.
The trend: Assessments of national AI strength are migrating from publication-volume counts toward citation-quality measures, where US corporate labs like Google and Meta hold the visible edge.
Stages of grief big tech AI FOMO edition: - We wrote papers. - We wrote more papers. - We have higher quality papers. - We have features using it. - Here's the product we'll launch soon. - Beta testers! - ... https://twitter.com/...
Equally valid explanations: Only some of MetaAI's papers are of top quality, but since they publish so many, they rank 2nd. MetaAI's papers are not actually that great, but their visibility is much higher than for other orgs, especially universities. That's why they rank 2nd. htt…
Top cited AI articles since 2020 were all written by Microsoft, Meta, Alphabet-aligned researchers. Only exceptions: 2 articles by prestigious academic institutions... and the one on stochastic parrots by Timnit Gebru et al. (That really backfired on Google)https://www.zeta-alpha…
I like MetaAI, and they publish a ton of high quality work. But trying to fit every piece of data to this narrative is not exactly a scientific mindset.
The 100 most cited AI papers for 2022. A detailed analysis of the most cited papers for the last three years allows good insights into the organisations and countries publishing the most impactful AI research right now. Read here: https://www.zeta-alpha.com/... A thread 🧵 https:/…
Report on Top-100 impact papers in 2022 from Zeta-Alpha. #NAVER is placed at Top-5 conversion rate (Top impact papers / Total published papers)!! I am so proud of the #NAVER_Cloud AI members including #NAVER_AI_Lab! https://www.zeta-alpha.com/... https://twitter.com/...
The US and Google are by far the most prolific country and organization, but OpenAI is on a league of its own in terms of ratio of publication to blockbuster papers. Read about it in our latest analysis of the most impactful research since 2020👇 https://www.zeta-alpha.com/... htt…
In the recent discussion about the impact of AI R&D from various Big Tech labs, we can now contrast volume and impact. Volume top-5: @GoogleAI @Tsinghua_Uni @MSFTResearch @CarnegieMellon @MIT Impact top-5: @GoogleAI @MetaAI @MSFTResearch @berkeley_ai @DeepMind https://twitter.com…
Proud to be among the authors of the top 3 papers for 2020: 1. ViT (Google) - Alexey Dosovitskiy et al. 2. GPT-3 (OpenAI) - Tom Brown et al. 3. YOLOv4 (Academia Sinica) - Alexey Bochkovskiy et al https://www.zeta-alpha.com/... https://twitter.com/... https://twitter.com/...
Recent rumours of China overtaking the US seem largely exaggerated, when we look at the top-100 cited papers in AI in 2022. The dominance of US-based AI Research becomes even more prominent when we look at the citation count itself: https://www.zeta-alpha.com/... https://twitter.…
instant ngp clocking in at #7 most cited ai paper in 2022! 🤯 i get a massive thrill whenever i see brilliant work (that i couldn't do!) that says ‘...we build on a hashgrid’ or ‘...use ingp base...’ and it really reinforces how science progresses by building on each others' ideas…
At @MetaAI we favor publication quality over quantity. That's why among the 100 most cited AI papers in 2022, @MetaAI has authored (or co-authored) 16, ranking 2nd just behind Google with 22. Our research is having a large impact on the community. (and NYU ranks nicely, too). htt…