Anna María Gil Lafuente

Empirical Economics celebrates its 50th anniversary in 2026. Motivated by this event, this paper provides a detailed bibliometric study of the journal between 1976 and 2025. Through publication and citation patterns, keyword co-occurrence networks, thematic maps, bibliographic coupling, and co-citation analysis, the article explores the intellectual development, methodological focus, and global research collaboration patterns of the journal. The results show an increase in publication activity, especially since the mid-2000s, accompanied by a significant growth in citation impact. Thematic analysis shows the existence of core themes such as economic growth, monetary policy, income inequality, business cycles, and forecasting, as well as new themes such as climate change, COVID-19, innovation, and machine learning. The rising importance of more advanced econometric approaches such as panel data models, cointegration analysis, and structural break analysis indicates the increasing methodological sophistication and integration with data science approaches. Bibliographic coupling and co-citation analysis shows the dominant role of core econometric publications in the journal’s intellectual structure, while institutional and country-level analysis shows strong global collaboration patterns, with leading contributions from the USA, UK, Germany, Australia, and increasing collaboration from emerging economies. In summary, the results of this paper show that Empirical Economics has developed into a globally networked, methodologically sophisticated, and policy-engaged journal that connects economic theory and empirical research. This paper helps to understand the development path of empirical economic research and provides directions for future research.

In 2025, Knowledge and Information Systems (KAIS) celebrates its 25th anniversary. To mark this occasion, this study presents a comprehensive bibliometric analysis covering the period 1999–2024, examining publication and citation patterns, influential authors, institutions, countries, and evolving research themes. Drawing on data from the Web of Science (WoS) Core Collection, the analysis integrates classical bibliometric indicators with science mapping techniques, including co-citation, bibliographic coupling, and keyword co-occurrence, supported by VOSviewer and Bibliometrix tools. The findings reveal that KAIS has published 2,385 articles, which have collectively received 54,319 citations, demonstrating sustained global influence. The journal’s intellectual core remains grounded in data mining, classification, clustering, and machine learning, while emerging themes—such as deep learning, graph neural networks, natural language processing, and concept drift—reflect its adaptation to contemporary developments in artificial intelligence. China and the United States lead in both productivity and impact, illustrating the globalization of the KAIS research community. This study offers insights into the evolution of knowledge and information systems as an interdisciplinary field, emphasizing KAIS’s dual role in preserving methodological rigor and promoting innovation. Overall, the journal stands as a benchmark for studying the dynamics of data-driven, intelligent, and responsible knowledge discovery.

Spanning 1925–2024, we map Land Economics (LE) using Web of Science and Scopus with VOSviewer, bibliometrix, and SciVal. Analyses of documents, authors, and themes show LE as a central node linking environmental, agricultural, and urban economics. Seminal strands—property rights, contingent valuation, discrete choice, and hedonic pricing—anchor long-run influence. Keyword co-occurrence and thematic mapping confirm persistent emphases on valuation models, impact assessment, and policy applications, alongside emerging work on ecosystem services, climate change, and the water–energy nexus. Trend-topic and SciVal clusters reveal growing attention to disaster management, green innovation, and behavioral economics with uneven recent citation performance across topics and time.

Cybersecurity poses a significant risk for companies due to the rise in cyberattacks worldwide, leading to increased uncertainty in security management and putting the sustainability of businesses at risk. Despite some academic contributions, limited bibliometric studies on integrating cybersecurity and business information exist. The research aims to assist academics, policymakers, and decision-makers in cybersecurity management. The authors conducted a bibliometric review using scientific mapping and performance analysis. The study used the Web of Science database and Bibliometrix software to analyze 410 articles and 1,355 authors across nine bibliometric indicators between 2004 and 2023. This article is novel in proposing a bibliometric review of cybersecurity and business, as the other studies addressed specific sectors and do not allow for an integrated view of information on these two topics. The main findings showed an annual growth of 27.63% and an international co-authorship of 31.46%. The United States of America has the highest scientific production, followed by the United Kingdom and China. Business Horizons and IEEE Access are the most influential journals in this field of research. This study can improve the analysis of academics, policymakers, and decision-makers in companies regarding security management. Future studies could propose management models to improve cybersecurity in organizations.

Recent crises exacerbate social, environmental, and economic problems affecting the Sustainable Development Goals (SDGs) and urban resilience. Urgent action is needed to address these issues. The paper aims to (i) broaden the debate on urban resilience and the SDGs and (ii) examine how the interconnection of Urban Spatial Resilience (USR) and the SDGs can contribute to sustainable cities and communities. The research is developed through a literature review and a bibliometric analysis, followed by a quantitative approach using modeling and simulation. The results reveal three critical elements that can impact urban resilience and sustainable development: SDG11, urban spatial structure resilience, and urban spatial form resilience. Other findings indicate that SDG13 and SDG6 have a significant indirect relationship with urban resilience. The study provides policy implications supporting urban resilience and the SDGs.

This study offers a bibliometric analysis to identify tendencies and trends and establish the most prolific and important countries in Fuzzy systems research and its evolution. The need for a robust mathematical approach that model human-like perceptions, values, and decision-making processes has made Fuzzy systems research grow significantly since its creation in 1965. This research had its epicentre originally in the USA and England and has moved first to Europe and then to Asia, following global trends in other fields of study. Data were retrieved from the scientific database Web of Science. A total of 185,673 documents were revised to identify tendencies and trends and establish the most prolific and influential countries.

Los Objetivos de Desarrollo Sostenible (ODS) ofrecen un marco estructurado para que las empresas promuevan el desarrollo sostenible mediante prácticas responsables y alineadas con las demandas globales. Las empresas que componen el IBEX-35, el principal índice bursátil de España que reúne a las compañías líderes del país, han desempeñado un rol crucial en su incorporación en las estrategias y operaciones de las organizaciones (GRI, 2021). No obstante, evaluar con precisión estos compromisos es un desafío, debido a la naturaleza subjetiva y la variabilidad de la información que suelen presentar los informes de sostenibilidad (UNGC, 2021). La lógica difusa es una herramienta adecuada para abordar esta incertidumbre (Zadeh, 1965), proporcionando una interpretación flexible tanto de datos cualitativos como cuantitativos (Kaufmann y Gil-Aluja (1987, 1988)). Este estudio analiza cómo las empresas del IBEX-35 integran y aplican los ODS empleando la lógica difusa para manejar la incertidumbre inherente en la evaluación de sus avances, al facilitar una representación más precisa de la ambigüedad en la evaluación de sostenibilidad, ayudando a medir las responsabilidades corporativas de manera más detallada. En este análisis se revisan los objetivos más explicitados en los informes de 2023 y se evalúa utilizando una escala adaptada a la incertidumbre de los datos. Los resultados permiten identificar patrones de su implementación y conocer las diferencias entre sectores, que permite reseñar la necesidad de enfoques adaptativos en este ámbito.

The issue of pensions has become increasingly topical. This paper presents the ordered weighted averaging real average pension (OWARAP) operator. The OWARAP operator is based on the ordered weighted averaging (OWA) operator and calculates the future average retirement benefit taking into account price changes. Moreover, this work extends the OWARAP operator by using order-inducing variables, generalized means, and probabilities. This paper ends by analyzing the applicability of the OWARAP operator and its extensions in forecasting the real average Social Security benefits for retired workers in each state of the United States (U.S.). The results demonstrate the usefulness of the proposed approach in retirement decision making.