Country of the labs · world rank 1
AI research: United States
Located papers
26,375
This month
0
Subjects covered
1,101
This page only covers the 26,375 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: United States
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.
No signal computed yet - the burst detection workflow has not run.
Most active subjects - 12 months
Trajectories
Topics taken from the OpenAlex scientific classification.
Multimodal Machine Learning Applications
Vision
Large Language Models
AI
Generative Adversarial Networks and Image Synthesis
Vision
Adversarial Robustness in Machine Learning
AI
Reinforcement Learning in Robotics
AI
Explainable Artificial Intelligence (XAI)
AI
Advanced Neural Network Applications
Vision
Domain Adaptation and Few-Shot Learning
AI
2D projections of the embeddings
Semantic map
The 569 papers from this country present in the sample of 2,000 projected papers. Two papers close on the map have close content: the clusters show which research families this country actually occupies.
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| Q-based Variational Inverse Reinforcement Learning 18 August 2026 | The development of safe and beneficial AI requires that systems can learn and act in accordance with human preferences. However, explicitly specifying these preferences by hand is… | AI | Adversarial Robustness in Machine Learning |
| Improving the matrix multiplication exponent with modern optimization and AlphaEvolve 18 August 2026 | The current best bounds on the matrix multiplication exponent $ω$ are obtained through a refinement of the laser method called combination loss analysis (Duan et al., 2022;… | Computational Mathematics | Tensor decomposition and applications |
| Spectral Gaps of Hit-and-Run and Coordinate Hit-and-Run 18 August 2026 | For any convex body $\mathcal{K}\subset\mathbb{R}^{n}$ containing a unit ball, the spectral gap of Hit-and-Run is $Ω(1/(n^2 C_{\mathsf{PI}}))$, where $C_{\mathsf{PI}}$ is the… | Applied Mathematics | Point processes and geometric inequalities |
| AutoSR: Automatic Symbolic Regression by Searching Research States 18 August 2026 | We introduce Automatic Symbolic Regression (AutoSR), a fully automated system that instantiates Research-Space Symbolic Regression by searching persistent scientific… | Materials Chemistry | Machine Learning in Materials Science |
| Data-Efficient and Interpretable Classification of Circulating Tumor Cell Phenotypes in Microfluidic Devices via Deep Learning 18 August 2026 | Accurate classification of circulating tumor cell (CTC) phenotypes can provide valuable information for assessing metastatic potential. Label free microfluidic devices provide a… | Oncology | Cancer Cells and Metastasis |
| Non-Crossing Deep Quantile Regression for Distributional Survival Prediction 18 August 2026 | In survival analysis the way covariates act on the risk of an event often differs between early and late failure times, yet hazard- and mean-based summaries collapse this… | Statistics and Probability | Statistical Methods and Inference |
| The canonical facets of multi-separator polytopes 18 August 2026 | We initiate a polyhedral study of the graph multi-separator problem proposed by Irmai et al. (2024) as an alternative to the lifted multicut problem for application to the task of… | Industrial and Manufacturing Engineering | Vehicle Routing Optimization Methods |
| HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL 18 August 2026 | Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-language-action (VLA) foundation models are not readily… | Biomedical Engineering | Robotic Locomotion and Control |
| CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated? 18 August 2026 | Video world models approximate the stochastic distribution of physical outcomes through generative sampling, but existing benchmarks score individual generations or compare… | Vision | Generative Adversarial Networks and Image Synthesis |
| UniDot: A Unified Network for Sequence Modeling and Feature Interaction in Large-scale Recommendation 18 August 2026 | Industrial recommenders rely on two model families that have evolved largely independently: feature-interaction models over multi-field user/item features, and sequential models… | Info systems | Recommender Systems and Techniques |
| Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis 18 August 2026 | Large Language Models (LLMs) are increasingly being deployed in cybersecurity operations to assist cybersecurity analysts with rapid decision-making against emerging threats.… | AI | Advanced Graph Neural Networks |
| Would this change your answer? Evaluating Explanations of LLM Behavior In The Wild with Counterfactual Experiments 18 August 2026 | Many areas of AI research, such as language model interpretability and chain of thought faithfulness, seek to explain model behaviors. But what constitutes a "good" explanation?… | AI | Explainable Artificial Intelligence (XAI) |
| The Ethical Decision Head: Operationalizing Normative Ethics in Autonomous Vehicles via Reinforcement Learning from Human Feedback 18 August 2026 | As autonomous vehicles (AVs) approach Level 4 and Level 5 operational capability [SAE International, 2018], their on- board decision systems must handle not only safety-critical… | AI | Adversarial Robustness in Machine Learning |
| UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures 18 August 2026 | Physical AI systems such as autonomous vehicles and robots rely on timely exchange of high-dimensional sensory signals under tight bandwidth, latency, and energy budgets. Because… | Vision | Advanced Data Compression Techniques |
| Variational Outlier-Robust Gaussian Process Regression with Generative Modeling 18 August 2026 | Outliers can substantially distort Gaussian process regression (GPR) due to its conventional Gaussian observation likelihood, leading to inaccurate model learning and prediction.… | AI | Gaussian Processes and Bayesian Inference |
| Automating Learner Assessment: Benchmarking Machine Learning and Deep Learning Models for EEG-Based Familiarity Prediction 18 August 2026 | Objective assessment of learning remains a fundamental challenge in education. Electroencephalography (EEG) provides a direct, non-invasive window into the neural correlates of… | Neuroscience | EEG and Brain-Computer Interfaces |
| Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density 18 August 2026 | Dataset alignment is a central step in data analysis across science and engineering, where the goal is to match observations between datasets. Entropic Optimal Transport (EOT)… | Stat. physics | Statistical Mechanics and Entropy |
| PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data 18 August 2026 | Large language models can describe mechanisms, yet scalable post-training still depends on costly, manually curated biological reasoning traces. Here we show that cellular… | Molecular Biology | Single-cell and spatial transcriptomics |
| Towards Risk-free AI Agent Deployment 18 August 2026 | LLM-based agents are rapidly moving from research prototypes into the core business processes of organizations, but these agents pose deployment risks to security, compliance, and… | Networks | Software System Performance and Reliability |
| Advancing Open and Reproducible Relational Learning: RelArena-$α$, TabPFN-Rel and RPI 18 August 2026 | This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-source three pieces of software that we expect to accelerate… | AI | Advanced Graph Neural Networks |
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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