Country of the labs · world rank 15
AI research: Netherlands
Located papers
1,271
This month
0
−100% vs previous month
Subjects covered
326
This page only covers the 1,271 papers with at least one laboratory traced to this country, between 27 October 2025 and 18 August 2026. It is not the entire output of the country.
This is the country of the laboratory, never the nationality of individuals. A paper co-signed from several countries counts in each of them. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
Volumes by domain
What this country works on: Netherlands
Themes and topics are not invented here: every paper is mapped onto the OpenAlex classification, the open catalogue that indexes the world's scientific research (domain › field › theme › topic hierarchy). Click a theme to break it down into its main topics.
Rising phrases - last 30 days
Emerging signals
Phrases appearing markedly more often than usual in this country's papers. Because a national corpus is far smaller than the global one, the selection threshold is proportional to its volume: percentages are jumpier, and a term can rise on a handful of papers.
- PhrasePapers8 wksChange
01artificial intelligence5+15%
No linked paper - the list is recomputed every day.
Click a phrase to see the papers that use it. Phrases are extracted automatically from titles and abstracts: they are 2- or 3-word groups, in English and lowercase, exactly as they appear in the original text. The change compares the last 30 days with the previous 6 months.
Most active subjects - 12 months
Trajectories
Topics taken from the OpenAlex scientific classification.
Large Language Models
AI
Multimodal Machine Learning Applications
Vision
Generative Adversarial Networks and Image Synthesis
Vision
Reinforcement Learning in Robotics
AI
Explainable Artificial Intelligence (XAI)
AI
Advanced Neural Network Applications
Vision
Ethics and Social Impacts of AI
Safety Research
Adversarial Robustness in Machine Learning
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| Random Quadratic Form with random forcing: Metastable synchronization by noise 18 August 2026 | We study the Random Quadratic Form (RQF) on a sphere in the presence of random Brownian forcing. We show that the forcing does not effectively change the law of the process but… | Networks | Nonlinear Dynamics and Pattern Formation |
| Evolving Executable Pipeline Programs for AutoML with Language Models 18 August 2026 | Automated machine learning (AutoML) systems search for pipelines within a space of preprocessing operators, learners, and hyper-parameters specified in advance: they can select… | AI | Machine Learning and Data Classification |
| Correlation Clustering with Random Partial Information 18 August 2026 | Correlation clustering is a fundamental unsupervised learning problem. On complete graphs, both the min-disagreement and min-max objectives admit constant-factor approximations,… | Computational Theory and Mathematics | Complexity and Algorithms in Graphs |
| Information Geometry of Message Passing 18 August 2026 | We show that the natural-gradient stationary condition of variational inference has an edge-local form on a Forney-style factor graph. We start from the Bethe free energy and… | AI | Gaussian Processes and Bayesian Inference |
| PL-Guard: Probabilistic Logic Reasoning for LLM Guardrails 18 August 2026 | Large language model guardrails can be viewed as policy-consistency problems: a system must determine which policy-relevant facts hold in a prompt-response pair and what those… | AI | Large Language Models |
| Command-Space Counterfactual Explanations for Pareto-Conditioned Reinforcement Learning 18 August 2026 | Pareto Conditioned Networks learn multiple multi-objective reinforcement learning behaviours by conditioning a single policy on a desired return command. However, the local… | AI | Explainable Artificial Intelligence (XAI) |
| IndicQE-APE: A Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages 18 August 2026 | Indic quality estimation (QE) and automatic post-editing (APE) data is spread across separate releases, so no single resource supports training and evaluation across tasks and… | AI | Natural Language Processing Techniques |
| Emergent 3D Instance Segmentation from Self-Supervised Point Transformers 18 August 2026 | Unsupervised 3D instance segmentation of outdoor LiDAR scans has traditionally relied on handcrafted geometric priors such as density-based clustering, motion cues, or projected… | Computational Mechanics | 3D Shape Modeling and Analysis |
| Anatomical and Physical Supervision for CT-less PET Attenuation Correction: BIC-MAC 2026 Challenge 18 August 2026 | This report describes our submission to the Big Cross-Modal Attenuation Correction (BIC-MAC) 2026 Challenge for CT-less PET attenuation correction through multimodal pseudo-CT… | Radiology, Nuclear Medicine and Imaging | Medical Imaging Techniques and Applications |
| TinyDETR-Pose: Towards End-to-End Real-Time Single-Stage 6DoF Object Pose Estimation with Lightweight Transformers 18 August 2026 | Real-time 6DoF object pose estimation on resource-constrained hardware remains challenging, as accurate correspondence-based and refinement pipelines typically rely on… | Control systems | Robot Manipulation and Learning |
| Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset 17 August 2026 | Skin lesion classifiers can be confidently wrong on the cases that matter most, so knowing when a prediction should not be trusted is clinically as useful as the prediction. We… | Oncology | Cutaneous Melanoma Detection and Management |
| Reasoning for Social Audio-Visual Question Answering: Where Do We Stand? 14 August 2026 | Training Multimodal Large Language Models for audio-visual social understanding is a crucial step toward embodied social intelligence. Chain-of-thought (CoT) reasoning has become… | Vision | Multimodal Machine Learning Applications |
| A Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources 14 August 2026 | Visual foundation models are a cornerstone of image and video understanding but typically require large amounts of data and computation. The current scale required for pretraining… | AI | Domain Adaptation and Few-Shot Learning |
| Less Annotation, More Interpretation: Prior-Guided Concept Bottleneck Models for Interpretable Cancer Imaging Diagnosis 14 August 2026 | Concept bottleneck models (CBMs) can improve the transparency of cancer image diagnostic prediction by expressing predictions through radiological concepts. However, their… | AI | AI in cancer detection |
| Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection 13 August 2026 | Despite growing interest in weakly supervised video anomaly detection (WSVAD), current methods struggle to bridge the gap between coarse temporal supervision and fine-grained… | AI | Anomaly Detection Techniques and Applications |
| Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias 13 August 2026 | Frame-level area under the ROC curve (AUC) is the dominant evaluation metric for weakly supervised video anomaly detection (WSVAD). Its standard form measures whether an anomalous… | AI | Anomaly Detection Techniques and Applications |
| Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping 13 August 2026 | Quantitative MRI (qMRI) provides standardised tissue parameter maps, but the reliability of deep learning-based qMRI mapping methods is often not explicitly characterised. In this… | Neuroscience | Functional Brain Connectivity Studies |
| Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues 12 August 2026 | Event cameras capture intensity changes asynchronously with high temporal resolution, requiring novel preprocessing methods for downstream tasks. Unlike static intensity… | Electronics | Advanced Memory and Neural Computing |
| R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video 12 August 2026 | Long-horizon egocentric video is a rich substrate for wearable AI assistants, but object-centric questions such as where an item was moved, when it last changed state, or why it… | Vision | Multimodal Machine Learning Applications |
| PolyLayout: Hierarchical VLM-Guided Layout Generation Beyond Rectangular Rooms 12 August 2026 | Generating physically plausible 3D room layouts is essential for home furnishing retail, enabling customers to visualize products in their own homes and confidently make… | Computational Mechanics | 3D Shape Modeling and Analysis |
Lab countries - last 90 days
Other countries
The world ranking as it appears on the dashboard. Click another country to open its page.
- United States38% · 26,375 papers
- China33% · 22,828 papers
- United Kingdom7.5% · 5,251 papers
- Germany7.2% · 4,984 papers
- India4.6% · 3,181 papers
- Canada4.5% · 3,159 papers
- France4.1% · 2,865 papers
- South Korea4.1% · 2,859 papers
- Hong Kong SAR China3.2% · 2,247 papers
- Japan3.2% · 2,234 papers
- Australia3.1% · 2,160 papers
- Italy2.9% · 1,987 papers
- Singapore2.8% · 1,952 papers
- Switzerland2.3% · 1,611 papers
Click a country to see only its research
Across 69,649 papers with at least one lab located, i.e. 76% of the 91,354 papers fully processed between 27 October 2025 and 21 August 2026. 167 countries represented.
This is the country of the laboratory, never the nationality of individuals. A paper signed from several countries counts for each of them, so the shares add up to more than 100%. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
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