From Nov 2023 to Oct 2026, 231 archived papers mentioned Cityscapes in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (12).
Cityscapes was mentioned in 3 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #106 of the 255 datasets mentioned.
By journal category: AI (2) and Tourism and Hospitality (1).
Most of them appeared in Annals of Tourism Research Empirical Insights (1), International Journal of Computer Vision (1) and Artificial Intelligence Review (1).
From 2017 to 2026 (so far), Cityscapes was mentioned in 298 papers in the tracked journals, most of them in AI (251), economics (17) and tourism and hospitality (8).
74 of them were published in 2025, against 2 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (16), University of Chinese Academy of Sciences (12) and Nanyang Technological University (11).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (58), International Journal of Computer Vision (40) and Pattern Recognition (20).
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 use Cityscapes most often with ImageNet (111), MS COCO (75) and KITTI (62); it has 34 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use Cityscapes most often with ImageNet (111), MS COCO (75) and KITTI (62); it has 34 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →
What papers use Cityscapes together with (at least 3 papers; lift 1 = chance)
Mahmoud Salem, Markus Reischl, Veit Hagenmeyer et al.
Karlsruhe Institute of Technology; British University in Egypt; Gulf University for Science & Technology
Cite this page
Scholar4AI. (2026). Cityscapes. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/cityscapes
@misc{scholar4ai-datasets-cityscapes,
author = {{Scholar4AI}},
title = {Cityscapes},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/cityscapes}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).