Samsung Electronics (South Korea)
Papers in the tracked journals with an author at Samsung Electronics (South Korea): 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.
Key findings#
- From 2017 to 2026 (so far), authors at Samsung Electronics (South Korea) took part in 84 papers in the tracked journals, most of them in AI (39), operations research (22) and information systems (6).
- It ranks #29 among the companies publishing in the tracked journals from 2023 to 2025.
- 14 of them were published in 2025, against 5 in 2017.
- Since 2023, the institutions with the most of these papers were Samsung (South Korea) (28), Sungkyunkwan University (10) and Korea Advanced Institute of Science and Technology (6).
- The journals publishing most of them were Expert Systems with Applications (5), Knowledge-Based Systems (4) and Pattern Recognition (3).
- The most-cited of them is “Model Pruning Enables Efficient Federated Learning on Edge Devices” (IEEE Transactions on Neural Networks and Learning Systems, 2022), with 597 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 4 | 2 | 3 | 5 | 4 | 3 | 5 | 6 | 7 |
| Operations Research | 4 | 3 | 2 | 3 | 1 | 2 | 0 | 2 | 2 | 3 |
| Information Systems | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
| Finance | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 3 | 0 |
| Statistics | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 0 |
| Management | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Economics | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| Marketing | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 5 | 10 | 7 | 8 | 8 | 7 | 4 | 11 | 14 | 10 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 5 |
| 2 | Knowledge-Based Systems | 4 |
| 3 | Pattern Recognition | 3 |
| 4 | Computers & Industrial Engineering | 3 |
| 5 | Journal Of Big Data | 3 |
| 6 | International Journal of Computer Vision | 2 |
| 7 | Journal of the Korean Statistical Society | 2 |
| 8 | Finance research letters | 2 |
| 9 | Computational Statistics & Data Analysis | 1 |
| 10 | Journal of International Money and Finance | 1 |
| # | Institution | Papers |
|---|---|---|
| 1 | Samsung (South Korea) | 28 |
| 2 | Sungkyunkwan University | 10 |
| 3 | Korea Advanced Institute of Science and Technology | 6 |
| 4 | Yonsei University | 6 |
| 5 | Korea Institute of Science and Technology | 3 |
| 6 | Korea University | 3 |
| 7 | Kyung Hee University | 3 |
| 8 | Seoul National University | 3 |
| 9 | Universitat Jaume I | 3 |
| # | Country | Papers |
|---|---|---|
| 1 | South Korea | 39 |
| 2 | United States | 4 |
| 3 | China | 3 |
| 4 | Spain | 3 |
| 5 | India | 1 |
| 6 | Japan | 1 |
| 7 | Netherlands | 1 |
| # | Keyword | Papers |
|---|---|---|
| 1 | semiconductor manufacturing | 3 |
| 2 | Korean stock market | 2 |
| 3 | benchmark dataset | 2 |
| 4 | graph neural networks | 2 |
| 5 | knowledge distillation | 2 |
| 6 | wafer bin maps | 2 |
| 7 | 3D object detection | 1 |
| 8 | 3D segmentation | 1 |
| 9 | ABC-SMC | 1 |
| 10 | CEO age | 1 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Samsung Electronics (South Korea). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/samsung-electronics-south-korea
@misc{scholar4ai-companies-samsung-electronics-south-korea,
author = {{Scholar4AI}},
title = {Samsung Electronics (South Korea)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/companies/samsung-electronics-south-korea}},
urldate = {2026-10-31},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}