Scholar4AI Updated 2026-10-31 19:11 UTC+09:00

Nvidia (United States)

Papers in the tracked journals with an author at Nvidia (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.

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← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at Nvidia (United States) took part in 65 papers in the tracked journals, most of them in AI (63), operations research (1) and information systems (1).
  • It ranks #25 among the companies publishing in the tracked journals from 2023 to 2025.
  • 11 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were California Institute of Technology (4), University of Hong Kong (4) and Carnegie Mellon University (3).
  • The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (12), Nature Machine Intelligence (9) and International Journal of Computer Vision (7).
  • The most-cited of them is “ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021), with 2,325 citations.

Papers per year#

2017: 1 paper2018: 0 papers2019: 3 papers2020: 7 papers2021: 5 papers2022: 10 papers2023: 8 papers2024: 13 papers2025: 11 papers2026 (so far): 7 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI103759813107
Operations Research0000010000
Information Systems0000000010
All categories1037510813117

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1California Institute of Technology4
2University of Hong Kong4
3Carnegie Mellon University3
4Meta (United States)3
5Microsoft (United States)3
6New York University3
7Purdue University West Lafayette3
8Shanghai Artificial Intelligence Laboratory3
9Stanford University3
Countries with the most papers, since 2023
#CountryPapers
1United States39
2China13
3Italy8
4Australia6
5United Kingdom6
6Hong Kong6
7Canada4
8Germany3
9Singapore3
10Turkey2
Keywords with the most papers, since 2023
#KeywordPapers
1diffusion models4
2large language models4
3image classification3
4artificial intelligence in healthcare2
5attention mechanism2
6augmented reality2
7contrastive learning2
8cryo-electron tomography2
9domain adaptation2
10drug discovery2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
12,32536.4ProtTrans: Toward Understanding the Language of Life Through Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence2021-07-07Ahmed Elnaggar, Michael Heinzinger, Christian Dallago et al.
230013.2BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal TransformersIEEE Transactions on Pattern Analysis and Machine Intelligence2024-12-10Zhiqi Li, Wenhai Wang, Hongyang Li et al.
32852.6Deblurring Images via Dark Channel PriorIEEE Transactions on Pattern Analysis and Machine Intelligence2017-09-22Jinshan Pan, Deqing Sun, Hanspeter Pfister et al.
42544.6The transformational role of GPU computing and deep learning in drug discoveryNature Machine Intelligence2022-03-23Mohit Kumar Pandey, Michael Fernández, Francesco Gentile et al.
52112.2Context Based Emotion Recognition using EMOTIC DatasetIEEE Transactions on Pattern Analysis and Machine Intelligence2019-01-01Ronak Kosti, José Manuel Álvarez, Adrià Recasens et al.
62082.5DeepIM: Deep Iterative Matching for 6D Pose EstimationInternational Journal of Computer Vision2019-11-05Yi Li, Gu Wang, Xiangyang Ji et al.
71962.1Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence2019-01-23Deqing Sun, Xiaodong Yang, Ming-Yu Liu et al.
81882.8A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural NetworkIEEE Transactions on Neural Networks and Learning Systems2021-04-13Zhiwei Fang
91884.8Federated benchmarking of medical artificial intelligence with MedPerfNature Machine Intelligence2023-07-17Alexandros Karargyris, Renato Umeton, Micah Sheller et al.
101815.3Multi-modal molecule structure–text model for text-based retrieval and editingNature Machine Intelligence2023-12-18Shengchao Liu, Weili Nie, Chengpeng Wang et al.
Cite this page

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

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

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