---
title: "Intel (United States): research papers"
description: "From 2017 to 2026 (so far), authors at Intel (United States) took part in 82 papers in the tracked journals, most of them in AI (68), operations research (8) and higher education and research (2). It ranks #28 among the companies publishing in the tracked journals from 2023 to 2025."
url: https://scholar4ai.com/companies/intel-united-states
markdown_url: https://scholar4ai.com/companies/intel-united-states.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From 2017 to 2026 (so far), authors at Intel (United States) took part in 82 papers in the tracked journals, most of them in AI (68), operations research (8) and higher education and research (2). (as of 2026-10-31)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-31T19:11:11+09:00
window: 2026-10-02 to 2026-10-31
source: OpenAlex (CC0)
---

# Intel (United States)

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

Back to the ranking: https://scholar4ai.com/rankings/companies.md

## Key findings

- From 2017 to 2026 (so far), authors at Intel (United States) took part in 82 papers in the tracked journals, most of them in AI (68), operations research (8) and higher education and research (2).
- It ranks #28 among the companies publishing in the tracked journals from 2023 to 2025.
- 12 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Tsinghua University (3), University of California, Berkeley (3) and Accenture (United States) (2).
- The journals publishing most of them were Nature Machine Intelligence (6), IEEE Transactions on Pattern Analysis and Machine Intelligence (5) and IEEE Transactions on Artificial Intelligence (4).
- The most-cited of them is “Direct Sparse Odometry” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017), with 2,948 citations.
- Since 2023, papers in the tracked journals cited 56 of its papers 658 times; 98% of those links came from papers with a university author and 2% from its own papers.
- Its own papers since 2023 cite archived papers 138 times, 22% of them papers with a company author.

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 6 | 7 | 9 | 9 | 9 | 8 | 6 | 10 | 3 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 1 | 0 | 1 | 3 | 1 | 1 | 1 | 0 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 2 | 7 | 7 | 12 | 12 | 10 | 9 | 8 | 12 | 3 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 6 |
| 2 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 5 |
| 3 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 4 |
| 4 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 3 |
| 5 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 3 |
| 6 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 |
| 7 | [Computers and Education Artificial Intelligence](https://scholar4ai.com/journals/computers-and-education-artificial-intelligence.md) | 2 |
| 8 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| 9 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| 10 | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 3 |
| 2 | University of California, Berkeley | 3 |
| 3 | Accenture (United States) | 2 |
| 4 | Cisco Systems (United States) | 2 |
| 5 | ETH Zurich | 2 |
| 6 | Forschungszentrum Jülich | 2 |
| 7 | Harvard University | 2 |
| 8 | Indian Institute of Technology Delhi | 2 |
| 9 | Institute of Neuroinformatics | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 32 |
| 2 | China | 11 |
| 3 | Australia | 4 |
| 4 | Switzerland | 3 |
| 5 | Germany | 3 |
| 6 | India | 3 |
| 7 | Italy | 3 |
| 8 | United Arab Emirates | 2 |
| 9 | Canada | 2 |
| 10 | United Kingdom | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | hyperdimensional computing | 5 |
| 2 | neuromorphic computing | 3 |
| 3 | Llama 3 | 2 |
| 4 | convolutional neural networks | 2 |
| 5 | early childhood education | 2 |
| 6 | generalization | 2 |
| 7 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 2 |
| 8 | image classification | 2 |
| 9 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 2 |
| 10 | link prediction | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 2,948 | 25.7 | [Direct Sparse Odometry](https://doi.org/10.1109/tpami.2017.2658577) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2017-04-12 | Jakob Julian Engel, Vladlen Koltun, Daniel Cremers |
| 2 | 2,558 | 33.8 | [Event-Based Vision: A Survey](https://doi.org/10.1109/tpami.2020.3008413) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2020-07-10 | Guillermo Gallego, Tobi Delbrück, Garrick Orchard et al. |
| 3 | 2,167 | 36.6 | [Tabular data: Deep learning is not all you need](https://doi.org/10.1016/j.inffus.2021.11.011) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2021-11-26 | Ravid Shwartz-Ziv, Amitai Armon |
| 4 | 1,788 | 24.1 | [Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer](https://doi.org/10.1109/tpami.2020.3019967) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2020-08-27 | Rene Ranftl, Katrin Lasinger, David Hafner et al. |
| 5 | 497 | 6.6 | [FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals](https://doi.org/10.1109/tpami.2020.3009287) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2020-07-15 | Umur Aybars Çiftçi, İlke Demir, Lijun Yin |
| 6 | 263 | 9.9 | [Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation](https://doi.org/10.1109/tpami.2024.3444912) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-16 | Mu Hu, Wei Yin, Chi Zhang et al. |
| 7 | 212 | 2.7 | [Rapid online learning and robust recall in a neuromorphic olfactory circuit](https://doi.org/10.1038/s42256-020-0159-4) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2020-03-16 | Nabil Imam, Thomas A. Cleland |
| 8 | 188 | 4.8 | [Federated benchmarking of medical artificial intelligence with MedPerf](https://doi.org/10.1038/s42256-023-00652-2) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2023-07-17 | Alexandros Karargyris, Renato Umeton, Micah Sheller et al. |
| 9 | 177 | 1.7 | [Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study](https://doi.org/10.1016/j.eswa.2018.05.024) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2018-05-26 | Gustavo A. Lujan-Moreno, Phillip Howard, Omar Rojas et al. |
| 10 | 155 | 2.5 | [Loss aware post-training quantization](https://doi.org/10.1007/s10994-021-06053-z) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2021-10-01 | Yury Nahshan, Brian Chmiel, Chaim Baskin et al. |

## Who cites its research

*Institutions whose papers cite it most, since 2023*

| # | Institution | Kind | Country | Links |
|---:|---|---|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | Government | China | 39 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | University | China | 27 |
| 3 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | University | China | 25 |
| 4 | [Wuhan University](https://scholar4ai.com/institutions/wuhan-university.md) | University | China | 24 |
| 5 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | University | China | 24 |
| 6 | [Beijing Institute of Technology](https://scholar4ai.com/institutions/beijing-institute-of-technology.md) | University | China | 18 |
| 7 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | University | China | 17 |
| 8 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | University | China | 17 |
| 9 | Nanyang Technological University | University | Singapore | 16 |
| 10 | ETH Zurich | University | Switzerland | 16 |

## What its papers cite

*Institutions its papers cite most, since 2023*

| # | Institution | Kind | Country | Links |
|---:|---|---|---|---:|
| 1 | ETH Zurich | University | Switzerland | 8 |
| 2 | University of California, Berkeley | University | United States | 8 |
| 3 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | Government | China | 7 |
| 4 | Imperial College London | University | United Kingdom | 6 |
| 5 | Monash University | University | Australia | 6 |
| 6 | University of Illinois Chicago | University | United States | 5 |
| 7 | Institute of Automation | Research facility | China | 5 |
| 8 | Xidian University | University | China | 4 |
| 9 | Nanyang Technological University | University | Singapore | 4 |

More: https://scholar4ai.com/corporate-citations.md · https://scholar4ai.com/industry-university.md

## Cite this page

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

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).