Google (United States)

Papers in the tracked journals with an author at Google (United States): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

← Corporate research

Key findings#

From 2017 to 2026 (so far), authors at Google (United States) took part in 233 papers in the tracked journals, most of them in AI (173), operations research (26) and economics (25).
It ranks #18 among the companies publishing in the tracked journals from 2023 to 2025.
8 of them were published in 2025, against 20 in 2017.
Since 2023, the institutions with the most of these papers were Harvard University (4), Massachusetts Institute of Technology (4) and Georgia Institute of Technology (3).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (16), Nature Machine Intelligence (8) and International Journal of Computer Vision (7).
The most-cited of them is “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017), with 22,385 citations.

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	11	14	27	29	21	23	22	10	5	11
Operations Research	1	3	1	3	4	6	3	1	2	2
Economics	6	1	3	4	5	3	1	1	0	1
Statistics	1	0	0	0	1	0	0	0	0	0
Finance	0	0	0	0	0	0	1	0	0	1
Marketing	0	0	0	0	1	0	0	0	0	0
Management	0	0	0	0	0	0	1	0	0	0
Health Economics and Policy	0	0	0	0	1	0	0	0	0	0
Information Systems	1	0	0	0	0	0	0	0	0	0
Tourism and Hospitality	0	0	0	0	0	0	0	0	1	0
All categories	20	18	31	36	33	32	28	12	8	15

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Pattern Analysis and Machine Intelligence	16
2	Nature Machine Intelligence	8
3	International Journal of Computer Vision	7
4	Mathematical Programming	3
5	Machine Learning	3
6	AI & Society	3
7	Neural Networks	2
8	Expert Systems with Applications	2
9	Mathematical Programming Computation	2
10	Artificial Intelligence	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Harvard University	4
2	Massachusetts Institute of Technology	4
3	Georgia Institute of Technology	3
4	Google DeepMind (United Kingdom)	3
5	Meta (United States)	3
6	University of California, Merced	3
7	University of Cambridge	3
8	University of Washington	3
9	Washington University in St. Louis	3

Countries with the most papers, since 2023
#	Country	Papers
1	United States	63
2	China	16
3	United Kingdom	9
4	Canada	6
5	Germany	5
6	France	5
7	South Korea	5
8	Australia	4
9	Hong Kong	4
10	Switzerland	3

Keywords with the most papers, since 2023
#	Keyword	Papers
1	large language models	4
2	adversarial robustness	3
3	explainable AI	3
4	neural radiance fields	3
5	object detection	3
6	reinforcement learning	3
7	3D Gaussian Splatting	2
8	adversarial training	2
9	deep learning	2
10	depth estimation	2

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	22,385	196.1	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	IEEE Transactions on Pattern Analysis and Machine Intelligence	2017-04-27	Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al.
2	3,239	50.2	Temporal Fusion Transformers for interpretable multi-horizon time series forecasting	International Journal of Forecasting	2021-06-16	Bryan Y. Lim, Sercan Ö. Arık, Nicolas Loeff et al.
3	2,769	42.4	A review of uncertainty quantification in deep learning: Techniques, applications and challenges	Information Fusion	2021-05-23	Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al.
4	2,325	36.4	ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning	IEEE Transactions on Pattern Analysis and Machine Intelligence	2021-07-07	Ahmed Elnaggar, Michael Heinzinger, Christian Dallago et al.
5	1,823	31.5	Image Super-Resolution Via Iterative Refinement	IEEE Transactions on Pattern Analysis and Machine Intelligence	2022-01-01	Chitwan Saharia, Jonathan Ho, William Chan et al.
6	1,400	15.1	Video Enhancement with Task-Oriented Flow	International Journal of Computer Vision	2019-02-12	Tianfan Xue, Baian Chen, Jiajun Wu et al.
7	743	14.0	KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D	IEEE Transactions on Pattern Analysis and Machine Intelligence	2022-06-01	Yiyi Liao, Jun Xie, Andreas Geiger
8	712	9.3	Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks	IEEE Transactions on Neural Networks and Learning Systems	2020-06-03	Deng-Ping Fan, Lin Liu Zheng, Zhao Zhang et al.
9	657	9.9	Challenges of real-world reinforcement learning: definitions, benchmarks and analysis	Machine Learning	2021-04-22	Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz et al.
10	541	9.9	Learning Enriched Features for Fast Image Restoration and Enhancement	IEEE Transactions on Pattern Analysis and Machine Intelligence	2022-04-13	Syed Waqas Zamir, Aditya Arora, Salman Hameed Khan et al.

Cite this page

Scholar4AI. (2026). Google (United States). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/google-united-states

@misc{scholar4ai-companies-google-united-states,
  author = {{Scholar4AI}},
  title = {Google (United States)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/google-united-states}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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