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data science

2,518 papers

#data science Oct 2026

Mapping and Analysis of Global Research Trends on Strategizing: A Scientometric Approach

Purpose: Over the past decades, the concept of strategizing has attracted growing scholarly attention as a distinctive approach within strategic management. Unlike traditional perspectives that view strategy primarily as a rational, top-down planning process led by senior executives, the strategy-as-practice (SaP) pers...

Ayoub Mohammadian, Ali Heidari, Mohammad Ali Shahhoseini et al. · 0 citations
#data science Oct 2026

Bibliometric Analysis and Co-word Mapping: The Field of Knowledge Graphs

Purpose: The rapid expansion of research in the field of Knowledge Graphs (KGs) over the past decade has positioned The field as a dynamic area at the intersection of computer science, artificial intelligence. Following Google’s introduction of the KG in 2012, scholars and industry stakeholders have increasingly explor...

Ameneh Shenavar, Saeed Rezaei Sharifabadi, Molouksadat Hosseini Beheshti et al. · 0 citations
#data science Oct 2026

Mapping the Intellectual Structure of Four Decades of Research on Interventions for Anger, Aggression, and Bullying: A Bibliometric Analysis of Structures, Emerging Trends, Research Gaps, and Key Players

Purpose: Aggressive behavior, which includes a wide range of intentional actions—whether physical, verbal, or psychological—represents a significant public health and social issue with extensive individual and societal consequences. Anger, aggression, and bullying not only harm victims but also negatively affect the we...

Shahrooz Nemati, Afshin Hamdipour, Ali Abolhasani Joband · 0 citations
#data science Oct 2026

Co-word Analysis of the Persian Translation of Nahj al-Balagheh Letters Using Scientometric Approach: Identifying Key Concepts and Semantic Network through Centrality Measures and Clustering

Purpose: Co-word analysis has been employed to map the structure and relationships among topics, concepts, and terms present in studies of the Persian translation letters of Nahj al-Balagheh. A scientometric approach, including the identification of key concepts and semantic networks through centrality measures and clu...

Hamid Ebrahimi, Ebrahim Zalzadeh, Ismael Mostafavi · 0 citations
#data science Oct 2026

The Relationship Between Research Funding and Citation Impact and International Collaboration of the Top Two Percent of Iranian Scientists in the Fields of Strategic Technologies

Purpose: The primary objective of this article is to investigate the statistical relationship between the allocation of financial resources and both the level of collaboration and the scientific impact of the top 2% of Iranian scientists in strategic technologies. Specifically, this study examines the relationships amo...

Fatemeh Alinezhad Chamazkoti, Saeedeh Mirhaghjoo · 0 citations

Analysis of the Knowledge Structure, Thematic Evolution, and Emerging and Future Research Directions in User Interface Design for Explainable Artificial Intelligence (XAI) in Decision-Making Dashboards: A Scientometric Study

Purpose: The rapid diffusion of artificial intelligence (AI) in organizational decision-making environments has intensified concerns about transparency, interpretability, and user trust. As complex machine learning models increasingly support managerial and policy decisions, the need for Explainable Artificial Intellig...

Sepehr Noroozi Chakoli, Ehsan Mousavi Khaneghah · 0 citations
#data science Oct 2026

Providing a Framework to Promote Iran's Scientific Visibility in the Path of Achieving Scientific Authority

Purpose: The primary goal of this research is to develop a comprehensive framework to enhance the visibility of Iran's scientific output, thereby achieving scientific authority. Scientific visibility is a crucial dimension in evaluating the science system, as it reflects the extent of recognition, dissemination, and ci...

Elmira Janavi, Somayyeh Nadi Ravandi · 0 citations
#data science Oct 2026

Trends, Knowledge Structure, and Scientific Collaboration Patterns in Customer Experience Research on Organic Products: A Scientometric Analysis

Purpose: This study provides a comprehensive bibliometric and network-based analysis of 229 peer-reviewed articles (2010–2025) focusing on customer experience within the organic products domain. With the rapid expansion of the organic food market and growing consumer interest in sustainability, health, authenticity, fo...

Amir Khanlari, Elaheh Shadkam · 0 citations
#data science Oct 2026

Scientometric Analysis of Research Trends in Smart and Sustainable Architecture in Educational Environments: With an Emphasis on Green Schools and Campuses

Purpose: The purpose of this study is to conduct a comprehensive bibliometric analysis of research trends in sustainable and smart architecture within educational environments, with a particular focus on green schools and university campuses, during 1990 to 2025. Educational spaces, as crucial settings for knowledge de...

Milad Olfat, Faezeh Asadpour, Amir Hossein Shirdel · 0 citations
#data science Oct 2026

Scientometric and Knowledge Mapping of Therapeutic Approaches in Depression Research

Purpose: Depressive disorder is one of the global mental health challenges that reduces the quality of life of individuals. This disorder has economic and social consequences for communities and families. It increases healthcare costs in communities, and it provides a basis for emotional problems in families. Due to th...

Mahnaz Kamani, Mohammadreza Abedi, Sima Andalib · 0 citations
#data science Oct 2026

Scientometric Analysis of Research Structure and Trends in Neutrino and Dark Matter Detection: Scientific Mapping and Keyword Co-occurrence Analysis in Web of Science

Purpose: Neutrinos and dark matter are two fascinating and mysterious topics in modern physics, with numerous experiments conducted worldwide to study their properties, interactions, and their impact on our understanding of the universe. Neutrino detection is primarily achieved through two methods: charged current inte...

Zeinab Sadat Tabatabaei Lotfi, Mohammad Mahdi Ettefaghi, ًReza Moazemmi · 0 citations
#data science Oct 2026

Mapping the Thematic Network of Humanities Research Output Evaluation: A Mixed Method

Purpose: Evaluating the outputs of the humanities has always been a fundamental challenge in scientific systems and research policy-making. Unlike empirical sciences, which often rely on quantitative and tangible criteria and indicators to assess their outputs, the humanities—due to their qualitative, interdisciplinary...

Elahe Ebrahimi Dorcheh, Ali Mansouri · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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