Country of the labs · world rank 34
AI research: Pakistan
Located papers
339
This month
0
−100% vs previous month
Subjects covered
160
This page only covers the 339 papers with at least one laboratory traced to this country, between 28 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: Pakistan
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
Generative Adversarial Networks and Image Synthesis
Vision
Advanced Neural Network Applications
Vision
Large Language Models
AI
Machine Learning in Healthcare
AI
Adversarial Robustness in Machine Learning
AI
Explainable Artificial Intelligence (XAI)
AI
Natural Language Processing Techniques
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| 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 |
| 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 |
| Probability-Preserving Transformer for the Time-Dependent Schrödinger Equation 18 August 2026 | Solving the time-dependent Schrödinger equation (TDSE) via traditional numerical methods is computationally intensive. Transformer models offer a compelling alternative, but… | Stat. physics | Model Reduction and Neural Networks |
| ARISE: An adaptive residual-informed stability ensemble for feature selection in small-sample biomedical omics 18 August 2026 | Objective: Small-sample molecular classification requires feature selectors that identify predictive, stable, and nonredundant subsets for binary and multiclass outcomes. We… | Molecular Biology | Gene expression and cancer classification |
| Understanding Why Foundation Models Work for Diffusion-Generated Image Detection 13 August 2026 | Vision foundation models have recently emerged as powerful feature extractors for detecting AI-generated images, achieving strong generalization across generators and robustness… | Vision | Digital Media Forensic Detection |
| Through Van Gogh's Eyes: Global Style Transfer with Diffusion Model 13 August 2026 | Artistic image synthesis aims to recreate the expressive visual identity of a target artist, yet existing methods often fail to capture an artist's global style. Conventional… | Vision | Generative Adversarial Networks and Image Synthesis |
| Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets 12 August 2026 | Automated lesion segmentation in whole-body PET/CT imaging can assist clinicians with cancer detection, staging, and treatment planning across radiotracers and cancer types.… | Radiology, Nuclear Medicine and Imaging | Radiomics and Machine Learning in Medical Imaging |
| The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generation on the Seamless Interaction Dataset 12 August 2026 | This preprint presents the results of the fourth GENEA Challenge, a large-scale human evaluation of five speech-driven gesture-generation systems trained by participating teams on… | Human-Computer Interaction | Hand Gesture Recognition Systems |
| Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality 7 August 2026 | Machine learning, and deep networks in particular, are increasingly used to derive higher-level Earth observation (EO) products such as annual land-cover and crop-type maps. Many… | Ecology | Remote Sensing in Agriculture |
| YOLO-PVC: 2D-to-3D Consolidation of Slice-wise Detections for Volumetric Liver Tumor Localization in MRI 6 August 2026 | Slice-wise 2D object detectors are increasingly applied to volumetric data due to their computational efficiency and scalability, yet they often yield fragmented and unstable… | Vision | Advanced Neural Network Applications |
| XEns-CKD: An Explainable Ensemble-Based Approach for Chronic Kidney Disease Stage Detection 4 August 2026 | Chronic kidney disease (CKD) is a silent disease. Its progression may not significantly hamper a person's daily routine. Human kidney function can be classified as normal or as… | Nephrology | Chronic Kidney Disease and Diabetes |
| Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs 30 July 2026 | Gastrointestinal (GI) endoscopic image analysis has shifted from single-label classification toward visual question answering (VQA), where a model must answer free-form clinical… | Vision | Multimodal Machine Learning Applications |
| Embeddings based Anomaly Detection for Cleaning Global Crop Type Reference Datasets 28 July 2026 | High quality reference data remain a critical bottleneck for crop-type mapping at any spatial and temporal scale. Operational systems such as WorldCereal aggregate labels from… | Epidemiology | Data-Driven Disease Surveillance |
| When Less Is More: A Controlled Benchmark of Lightweight CNNs for Satellite Land-Cover Segmentation on DeepGlobe 28 July 2026 | High-resolution satellite imagery is the backbone of good land-cover classification, and without that, environmental monitoring, urban planning, and sustainable resource… | Media Technology | Remote-Sensing Image Classification |
| ML-based Predictive Models for Power Consumption in Virtualised O-RANs 28 July 2026 | As communication networks adopt virtualized and disaggregated architectures, achieving energy efficiency has become increasingly important for both economic and environmental… | Networks | Software-Defined Networks and 5G |
| Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation 28 July 2026 | Reinforcement learning can produce robust humanoid controllers, but each new task is typically trained as a separate policy with its own reward design and training process. Motion… | Control systems | Human Motion and Animation |
| Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features 28 July 2026 | Bitcoin price prediction on sub-daily timescales is a hard open problem in computational finance. Bitcoin exhibits fat-tailed returns, non-stationary dynamics, and a price… | Operations res. | Stock Market Forecasting Methods |
| CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting 27 July 2026 | Accurately modeling cross-variate dependencies remains a key challenge in multivariate time series forecasting, particularly in the presence of strong periodic patterns. Many… | Operations res. | Forecasting Techniques and Applications |
| The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results 24 July 2026 | This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse… | Vision | Advanced Image Processing Techniques |
| Safety-oriented sidewalk and road segmentation for smartphone-based assistive navigation 24 July 2026 | Independent sidewalk mobility is essential for blind and visually impaired pedestrians (BVIPs), yet smartphone-based assistive navigation requires perception models that… | Neuroscience | Tactile and Sensory Interactions |
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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