Country of the labs · world rank 33
AI research: Türkiye
Located papers
401
This month
0
−100% vs previous month
Subjects covered
177
This page only covers the 401 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: Türkiye
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.
Large Language Models
AI
Multimodal Machine Learning Applications
Vision
Explainable Artificial Intelligence (XAI)
AI
Advanced Neural Network Applications
Vision
Reinforcement Learning in Robotics
AI
Natural Language Processing Techniques
AI
Generative Adversarial Networks and Image Synthesis
Vision
Remote-Sensing Image Classification
Media Technology
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| Handover Analysis for Vehicular Communication with Explainability on the Fly 18 August 2026 | Handover (HO) management in vehicular networks requires fast and reliable decision-making under highly dynamic conditions. While machine learning (ML) approaches can improve HO… | Electronics | Vehicular Ad Hoc Networks (VANETs) |
| Convolution-Free Holistic Multivariance Decomposition Layer for Efficient Hyperspectral Image Classification Tensor Networks 18 August 2026 | Feature extraction for hyperspectral image classification is conventionally addressed using rigid tensor decompositions that fail to capture complex spatio-spectral… | Computational Mathematics | Tensor decomposition and applications |
| CBX-Bench: A Human-Aligned MLLM Council for Benchmarking Concept Bottleneck Model Explanations 18 August 2026 | Concept Bottleneck Models (CBMs) are designed to make visual classification interpretable by expressing predictions through human-understandable concepts. Although… | AI | Explainable Artificial Intelligence (XAI) |
| Gloss-Free Representation Learning for Cross-Dataset Sign Spotting 13 August 2026 | Sign-language research for resource-constrained languages is often limited by the cost of dense linguistic labels such as glosses, temporal boundaries, and sign order. Broadcast… | Developmental and Educational Psychology | Hearing Impairment and Communication |
| NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge 11 August 2026 | This paper presents a review of the NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge. The objective of the competition was to merge a set of misaligned smartphone… | Vision | Image Enhancement Techniques |
| RobustDefect-LLM: Explainable and Robustness-Aware Industrial Surface Defect Classification with Decision Support and AI-Assisted Reporting 11 August 2026 | This paper presents RobustDefect-LLM, an industrial surface-defect inspection framework integrating deep-learning classification, operator-facing visual evidence, confidence-aware… | Industrial and Manufacturing Engineering | Industrial Vision Systems and Defect Detection |
| Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images 4 August 2026 | Safe deployment of AI methods in medicine requires robust guardrails that detect when input data deviate from the training distribution to ensure that models provide predictions… | AI | AI in cancer detection |
| BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization 30 July 2026 | Background manipulation is a practical but under-specified image-forensics setting: the manipulated evidence can sit outside the salient foreground object, while many evaluations… | Vision | Digital Media Forensic Detection |
| Shieldstral 29 July 2026 | We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7$\times$ its size on text safety benchmarks and… | AI | Large Language Models |
| Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space 28 July 2026 | We propose Variance-Preserving Orthogonal Selection (VPOS), a greedy framework for unsupervised feature selection that operates in the weighted PCA loading space. After each… | AI | Stochastic Gradient Optimization Techniques |
| DWT-Fusion: A Signal-Based Framework for Training-Free LLM-Generated Text Detection 27 July 2026 | Detecting LLM-generated text remains challenging under zero-shot and training-free conditions, especially when detectors must generalize across datasets, domains, and unseen… | AI | Large Language Models |
| Deep Convolutional Large-Margin $\ell_p$-SVDD for Visual Anomaly Detection 27 July 2026 | Visual anomaly detection requires adaptive representations and reliable decision boundaries, particularly when anomalous training samples are scarce and class distributions are… | AI | Anomaly Detection Techniques and Applications |
| Incremental Optimal Assignment for Real-Time Crowd Tracking 24 July 2026 | Multi-object tracking in dense crowds requires solving a bipartite assignment problem between detections and trajectories at every video frame. The classical Hungarian algorithm… | Vision | Video Surveillance and Tracking Methods |
| Robostral Navigate 24 July 2026 | Deploying navigation systems at scale requires a recipe that minimizes sensor assumptions, generalizes across robot embodiments, and trains efficiently. Yet, today's best systems… | Aerospace Engineering | Robotics and Sensor-Based Localization |
| Foundation-model-guided radiogenomic discovery linking cancer genomes to cancer scans 24 July 2026 | The function of many genes is still unknown, and conventional driver-discovery methods, which rely on how frequently a gene is mutated, cannot assess genes that are only rarely… | Radiology, Nuclear Medicine and Imaging | Radiomics and Machine Learning in Medical Imaging |
| Routing Subspaces: Auditing Evaluation-to-Deployment Mismatch in Fine-Tuned Language Models 24 July 2026 | Safety evaluations often assume that behavior observed during testing reflects behavior in ordinary use, but fine-tuning can break this assumption. A checkpoint can appear fixed… | Software | Software Testing and Debugging Techniques |
| PRISM-DR: Per-lesion Retinal Inference with Specialist Models for Diabetic Retinopathy 23 July 2026 | Diabetic retinopathy is a leading cause of preventable blindness; its early lesions are small, low contrast, and easily missed in manual screening. Most automated detectors handle… | Radiology, Nuclear Medicine and Imaging | Retinal Imaging and Analysis |
| Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI 23 July 2026 | Active sampling for accelerated MRI must distribute a tight sampling budget across spatial frequencies that carry very different kinds of information. Low frequencies hold most of… | Radiology, Nuclear Medicine and Imaging | Advanced MRI Techniques and Applications |
| Non--negative matrix factorization using the \textit{R} package \textsf{nnmf} 23 July 2026 | Non--negative matrix factorization (NMF) has become an established dimensionality reduction technique for extracting latent structures from non--negative data and has found… | Computational Mathematics | Tensor decomposition and applications |
| Distribution-First Population Simulation: Collapse, Calibration, and Recall in Non-WEIRD LLM Persona Modeling 22 July 2026 | Synthetic-population tools increasingly run every individual as an independent large language model (LLM) agent. Using real survey microdata, we show that this paradigm has a… | Human-Computer Interaction | Persona Design and Applications |
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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