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Related Articles from SNS
Bilateral and multilateral international scientific collaboration of EU member states: OpenAlex vs Scopus (2000-2024)
arXiv:2606.06336v1 Announce Type: new Abstract: This study examines the evolution of bilateral and multilateral scientific collaboration among EU Member States and between the EU and global partners from 2000 to 2024 using data from OpenAlex and Scopus. The results show that OpenAlex, when restricted to cited articles, yields findings broadly comparable to those obtained from Scopus for assessing country-level research collaboration. Relative Intensity of Collaboration (RIC) values are...
Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
arXiv:2606.03864v1 Announce Type: new Abstract: We introduce an explainable machine-learning approach that forecasts the structural precursors of scientific breakthroughs -- the emergence and intensification of links between research concepts -- by modelling how OpenAlex concept networks evolve over time. Using 59 semantic and topological features, a two-stage LightGBM model jointly predicts the formation and the future weight of concept pairs, adding a regression stage that quantifies...
Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing
arXiv:2606.03919v1 Announce Type: new Abstract: Understanding and anticipating scientific change requires models that distinguish between endogenous consolidation and exogenous diffusion of scientific concepts. Using the quantum computing subtree of concepts in OpenAlex, we construct a temporally resolved concept co-occurrence network and track each concept pair through its upstream citation lineage and downstream diffusion.
Evolution of bilateral and multilateral collaboration of EU-14 countries across disciplines, 2010-2024
Announce Type: new Abstract: This study explores the evolution of bilateral and multilateral research collaboration of nine EU-14 member states, both within Europe and globally, across six disciplines, between 2010 and 2024, using OpenAlex data. Results indicate that bilateral collaboration rates remained relatively stable and predominantly concentrated within EU-14 countries, followed by the USA, the UK, and China. Multilateral collaboration rates increased significantly across all...
Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
arXiv:2606.03864v1 Announce Type: cross Abstract: We introduce an explainable machine-learning approach that forecasts the structural precursors of scientific breakthroughs -- the emergence and intensification of links between research concepts -- by modelling how OpenAlex concept networks evolve over time. Using 59 semantic and topological features, a two-stage LightGBM model jointly predicts the formation and the future weight of concept pairs, adding a regression stage that quantifies...
Emerging and established topics in drone research: Citation impact and knowledge flows across China, the United States, the EU, Ukraine, and Russia (2020-2025)
arXiv:2606.03362v1 Announce Type: new Abstract: This study examined emerging and established topics in drone research, focusing on citation impact and knowledge flows across China, the United States, the EU, Ukraine, and Russia between 2020 and 2025 using OpenAlex bibliographic data. The findings revealed that drone-related science is characterised by growing geopolitical asymmetries in scientific production, citation concentration, and international knowledge exchange.
Does Artificial Intelligence Advance Science?
arXiv:2606.05118v1 Announce Type: new Abstract: This paper examines whether and how artificial intelligence (AI) advances scientific creativity. Drawing on scientific publications, the primary output of researchers, we analyze over one million publications from OpenAlex to investigate the relationship between AI adoption and multiple dimensions of scientific creativity, including novelty (recombinant novelty and object novelty) and impact (3-year short-run citation impact and 10-year...
Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing
arXiv:2606.03919v1 Announce Type: cross Abstract: Understanding and anticipating scientific change requires models that distinguish between endogenous consolidation and exogenous diffusion of scientific concepts. Using the quantum computing subtree of concepts in OpenAlex, we construct a temporally resolved concept co-occurrence network and track each concept pair through its upstream citation lineage and downstream diffusion. We train LightGBM models on distributional and diversity-aware...
TechGraphRAG: An Agentic Graph-Augmented RAG Framework for Technical Literature Reasoning
arXiv:2606.01613v1 Announce Type: new Abstract: This paper presents an agentic retrieval-augmented generation (RAG) framework for domain-specific technical reasoning support, instantiated over a curated corpus of approximately 2,100 academic papers in intelligent tires, vehicle dynamics, and vehicle control. Unlike conventional single-pass RAG systems, the proposed architecture employs a 13-step autonomous pipeline that classifies queries by intent, scores evidence sufficiency against a...