Quantum Machine Learning: Unveiling Trends, Impacts through Bibliometric Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Bansal, Riya, Rajput, Nikhil Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hotspots and Trends in Magnetoencephalography Research (2013-2022): A Bibliometric Analysis
by: Liu, Shen, et al.
Published: (2024)
by: Liu, Shen, et al.
Published: (2024)
A Causal Inference Approach for Quantifying Research Impact
by: Ochiai, Keiichi, et al.
Published: (2025)
by: Ochiai, Keiichi, et al.
Published: (2025)
Clustering scientific publications: lessons learned through experiments with a real citation network
by: Huong, Vu Thi, et al.
Published: (2025)
by: Huong, Vu Thi, et al.
Published: (2025)
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
by: Giner-Miguelez, Joan, et al.
Published: (2024)
by: Giner-Miguelez, Joan, et al.
Published: (2024)
Gymnasium: A Standard Interface for Reinforcement Learning Environments
by: Towers, Mark, et al.
Published: (2024)
by: Towers, Mark, et al.
Published: (2024)
Machine Learning Research Has Outpaced Its Communication Norms and NeurIPS Should Act
by: Rangarajan, Ajay Mandyam, et al.
Published: (2026)
by: Rangarajan, Ajay Mandyam, et al.
Published: (2026)
Artificial Intelligence Applications in Lean Startup Methodology: A Bibliometric Analysis of Research Trends and Future Directions
by: Omidmand, Parisa, et al.
Published: (2025)
by: Omidmand, Parisa, et al.
Published: (2025)
Publication Trend Analysis and Synthesis via Large Language Model: A Case Study of Engineering in PNAS
by: Smetana, Mason, et al.
Published: (2025)
by: Smetana, Mason, et al.
Published: (2025)
Bibliometric Analysis of NIME References and Citations
by: Fasciani, Stefano
Published: (2023)
by: Fasciani, Stefano
Published: (2023)
A History of Philosophy in Colombia through Topic Modelling
by: Loaiza, Juan R., et al.
Published: (2024)
by: Loaiza, Juan R., et al.
Published: (2024)
Trends in Equal-Contribution Authorship: A Large-Scale Bibliometric Analysis of Biomedical Literature
by: Xu, Binbin
Published: (2026)
by: Xu, Binbin
Published: (2026)
Limitations of Public Chest Radiography Datasets for Artificial Intelligence: Label Quality, Domain Shift, Bias and Evaluation Challenges
by: Rafferty, Amy, et al.
Published: (2025)
by: Rafferty, Amy, et al.
Published: (2025)
Simbanex: Similarity-based Exploration of IEEE VIS Publications
by: Witschard, Daniel, et al.
Published: (2024)
by: Witschard, Daniel, et al.
Published: (2024)
ARA: Agentic Reproducibility Assessment For Scalable Support Of Scientific Peer-Review
by: Riehl, Kevin, et al.
Published: (2026)
by: Riehl, Kevin, et al.
Published: (2026)
The IJCNN 2025 Review Process
by: Scarpiniti, Michele, et al.
Published: (2026)
by: Scarpiniti, Michele, et al.
Published: (2026)
Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025
by: Choi, Seongjin
Published: (2026)
by: Choi, Seongjin
Published: (2026)
Benchmark Data Repositories for Better Benchmarking
by: Longjohn, Rachel, et al.
Published: (2024)
by: Longjohn, Rachel, et al.
Published: (2024)
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
by: Xie, Wenjin, et al.
Published: (2022)
by: Xie, Wenjin, et al.
Published: (2022)
SyROCCo: Enhancing Systematic Reviews using Machine Learning
by: Fang, Zheng, et al.
Published: (2024)
by: Fang, Zheng, et al.
Published: (2024)
Artificial Intelligence in Management Studies (2021-2025): A Bibliometric Mapping of Themes, Trends, and Global Contributions
by: Sekaki, Yassine, et al.
Published: (2025)
by: Sekaki, Yassine, et al.
Published: (2025)
The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure
by: Sharma, Vasudha, et al.
Published: (2026)
by: Sharma, Vasudha, et al.
Published: (2026)
Learning representations of learning representations
by: González-Márquez, Rita, et al.
Published: (2024)
by: González-Márquez, Rita, et al.
Published: (2024)
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI
by: Eberle, Oliver, et al.
Published: (2023)
by: Eberle, Oliver, et al.
Published: (2023)
AceMap: Knowledge Discovery through Academic Graph
by: Wang, Xinbing, et al.
Published: (2024)
by: Wang, Xinbing, et al.
Published: (2024)
Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
by: Su, Buxin, et al.
Published: (2026)
by: Su, Buxin, et al.
Published: (2026)
How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review
by: Su, Buxin, et al.
Published: (2025)
by: Su, Buxin, et al.
Published: (2025)
Identifying Research Hotspots and Future Development Trends in Current Psychology: A Bibliometric Analysis of the Past Decade's Publications
by: Liu, Shen, et al.
Published: (2024)
by: Liu, Shen, et al.
Published: (2024)
A Bibliometric Analysis of Highly Cited Artificial Intelligence Publications in Science Citation Index Expanded
by: Ho, Yuh-Shan, et al.
Published: (2024)
by: Ho, Yuh-Shan, et al.
Published: (2024)
Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
by: Geng, Mingmeng, et al.
Published: (2026)
by: Geng, Mingmeng, et al.
Published: (2026)
Bibliometric Data Fusion for Biomedical Information Retrieval
by: Breuer, Timo, et al.
Published: (2023)
by: Breuer, Timo, et al.
Published: (2023)
Investigating Industry--Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences
by: Yamauchi, Kazuhiro, et al.
Published: (2025)
by: Yamauchi, Kazuhiro, et al.
Published: (2025)
Persistence Paradox in Dynamic Science
by: Bao, Honglin, et al.
Published: (2025)
by: Bao, Honglin, et al.
Published: (2025)
Automating Violence Detection and Categorization from Ancient Texts
by: Abdelhalim, Alhassan, et al.
Published: (2025)
by: Abdelhalim, Alhassan, et al.
Published: (2025)
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
by: Liu, Fan, et al.
Published: (2025)
by: Liu, Fan, et al.
Published: (2025)
On the Effectiveness of Large Language Models in Automating Categorization of Scientific Texts
by: Shahi, Gautam Kishore, et al.
Published: (2025)
by: Shahi, Gautam Kishore, et al.
Published: (2025)
Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models
by: Bourne, Jonathan
Published: (2025)
by: Bourne, Jonathan
Published: (2025)
Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
by: Ranka, Prateek, et al.
Published: (2025)
by: Ranka, Prateek, et al.
Published: (2025)
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
by: Tan, Ruifeng, et al.
Published: (2025)
by: Tan, Ruifeng, et al.
Published: (2025)
A Gold Standard Dataset for the Reviewer Assignment Problem
by: Stelmakh, Ivan, et al.
Published: (2023)
by: Stelmakh, Ivan, et al.
Published: (2023)
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024)
by: Gu, Xuemei, et al.
Published: (2024)
Similar Items
-
Hotspots and Trends in Magnetoencephalography Research (2013-2022): A Bibliometric Analysis
by: Liu, Shen, et al.
Published: (2024) -
A Causal Inference Approach for Quantifying Research Impact
by: Ochiai, Keiichi, et al.
Published: (2025) -
Clustering scientific publications: lessons learned through experiments with a real citation network
by: Huong, Vu Thi, et al.
Published: (2025) -
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
by: Giner-Miguelez, Joan, et al.
Published: (2024) -
Gymnasium: A Standard Interface for Reinforcement Learning Environments
by: Towers, Mark, et al.
Published: (2024)