nuScenes / Waymo Open / Argoverse
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Images labelled with object boxes or pixel masks, including driving scenes.
Key findings#
- From Nov 2023 to Oct 2026, 250 archived papers mentioned nuScenes / Waymo Open / Argoverse in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (15).
- nuScenes / Waymo Open / Argoverse was mentioned in 8 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #43 of the 255 datasets mentioned.
- By journal category: AI (6) and Operations Research (2).
- Most of them appeared in Pattern Recognition (2), Artificial Intelligence Review (2) and Transportation Research Part C Emerging Technologies (2).
- From 2017 to 2026 (so far), nuScenes / Waymo Open / Argoverse was mentioned in 278 papers in the tracked journals, most of them in AI (254) and operations research (24).
- 94 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Shanghai Artificial Intelligence Laboratory (19), Chinese Academy of Sciences (18) and Nanyang Technological University (14).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (78), International Journal of Computer Vision (37) and Pattern Recognition (27).
- The most-cited of them is “End-to-End Autonomous Driving: Challenges and Frontiers” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 637 citations.
- Papers use nuScenes / Waymo Open / Argoverse most often with KITTI (115), ImageNet (39) and Cityscapes (23); it has 22 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
Mentions over 36 months#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 67 | 89 | 94 | 250 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 0 | 0 | 2 | 4 | 7 | 22 | 61 | 90 | 68 |
| Operations Research | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 4 | 13 |
| All categories | 0 | 0 | 0 | 2 | 5 | 7 | 23 | 66 | 94 | 81 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 78 |
| 2 | International Journal of Computer Vision | 37 |
| 3 | Pattern Recognition | 27 |
| 4 | Transportation Research Part C Emerging Technologies | 22 |
| 5 | Expert Systems with Applications | 15 |
| 6 | Applied Intelligence | 13 |
| 7 | Information Fusion | 13 |
| 8 | Knowledge-Based Systems | 12 |
| 9 | IEEE Transactions on Neural Networks and Learning Systems | 12 |
| 10 | Neural Networks | 9 |
| # | Institution | Papers |
|---|---|---|
| 1 | Shanghai Artificial Intelligence Laboratory | 19 |
| 2 | Chinese Academy of Sciences | 18 |
| 3 | Nanyang Technological University | 14 |
| 4 | Zhejiang University | 14 |
| 5 | Shanghai Jiao Tong University | 13 |
| 6 | Huazhong University of Science and Technology | 12 |
| 7 | Tongji University | 12 |
| 8 | University of Hong Kong | 11 |
| 9 | Chinese University of Hong Kong | 10 |
| 10 | Beihang University | 9 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 180 |
| 2 | United States | 36 |
| 3 | Hong Kong | 30 |
| 4 | United Kingdom | 20 |
| 5 | Germany | 18 |
| 6 | Singapore | 17 |
| 7 | Australia | 15 |
| 8 | Canada | 10 |
| 9 | Italy | 8 |
| 10 | South Korea | 7 |
| # | Keyword | Papers |
|---|---|---|
| 1 | autonomous driving | 87 |
| 2 | nuScenes | 80 |
| 3 | 3D object detection | 57 |
| 4 | Waymo Open Dataset | 23 |
| 5 | autonomous driving perception | 23 |
| 6 | KITTI | 20 |
| 7 | autonomous vehicles | 20 |
| 8 | point clouds | 18 |
| 9 | LiDAR-camera fusion | 17 |
| 10 | multimodal fusion | 17 |
Most-cited papers#
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| KITTI | Dataset | 115 | 43.7 |
| ImageNet | Dataset | 39 | 2.6 |
| Cityscapes | Dataset | 23 | 11.9 |
| MS COCO | Dataset | 18 | 3.2 |
| YouTube / TikTok | Dataset | 13 | 1.2 |
| open-mmlab/OpenPCDet | Code repository | 9 | 84.2 |
| CIFAR-10 / CIFAR-100 | Dataset | 7 | 0.8 |
| MuJoCo | Dataset | 6 | 6.9 |
| Kaggle | Dataset | 5 | 1.3 |
| PASCAL VOC | Dataset | 5 | 2.4 |
| open-mmlab/mmdetection3d | Code repository | 5 | 62.4 |
| Amazon Mechanical Turk | Dataset | 4 | 1.1 |
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-25 | $${\text {VLScene}}^{++}$$: Enhancing 3D Semantic Scene Completion via VLM Discrepancy-Aware Semantic Distillation and Sparse–Dense Hybrid Awareness | International Journal of Computer Vision | Meng Wang, Yujie Xue, Jijiang Liu et al. | Hunan University |
| 2026-10-23 | High-frequency depth distillation from foundation models for multi-view 3D object detection | Pattern Recognition | Jingxin Wang, Shuang Li, Mingpi Tan et al. | Chongqing University of Posts and Telecommunications |
| 2026-10-22 | Beyond the survey: a systematic empirical study of detection and association in visual MOT | Artificial Intelligence Review | Linh Van Ma, Juhua Hu, Wei Cheng et al. | Gwangju Institute of Science and Technology; University of Washington Tacoma |
| 2026-10-22 | Measuring the state of open science in transportation using large language models | Transportation Research Part C Emerging Technologies | Junyi Ji, Ruth Lu, Linda Belkessa et al. | Vanderbilt University; Massachusetts Institute of Technology; Université Gustave Eiffel; … |
| 2026-10-19 | A low-rank consensus method for vision language model hallucination mitigation in autonomous driving | Transportation Research Part C Emerging Technologies | Keke Long, Jiacheng Guo, Tianyun Zhang et al. | University of Wisconsin–Madison; Cleveland State University; University of Tennessee at Knoxville |
| 2026-10-17 | Seeing ahead through a state-of-the-art review of visual perception and predictive intelligence for collaborative robots | Artificial Intelligence Review | Mahmoud Salem, Markus Reischl, Veit Hagenmeyer et al. | Karlsruhe Institute of Technology; British University in Egypt; Gulf University for Science & Technology |
| 2026-10-17 | MonoPRIO: Adaptive prior conditioning for unified monocular 3D object detection | Pattern Recognition | Leon Davies, Qinggang Meng, Mohamad Saada et al. | Loughborough University; University of Southern Denmark |
| 2026-10-14 | SDDF-BEV: Uncertainty-aware spatio-temporal fusion for pure vision Bird’s-Eye-View 3D object detection | Knowledge-Based Systems | Wei Zhang, Xulu Xia, Xingliang Zhu et al. | University of Science and Technology of China; Chinese Academy of Sciences; Hefei Institutes of Physical Science; … |
Cite this page
Scholar4AI. (2026). nuScenes / Waymo Open / Argoverse. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/nuscenes-waymo-open-argoverse
@misc{scholar4ai-datasets-nuscenes-waymo-open-argoverse,
author = {{Scholar4AI}},
title = {nuScenes / Waymo Open / Argoverse},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/nuscenes-waymo-open-argoverse}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}