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Researcher Profiles: A Systematic Review of Approaches, Metrics, and Dimensions of Research Performance

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Objectives: To synthesize and contextualize a variety of approaches in the scientific literature for identifying researchers and characterizing and measuring their scholarly activities and research outputs, providing elements that guide the construction of researcher profiles that offer a global and contextualized perspective.
Methodology: A systematic review of the scientific literature was conducted following the SALSA and PRISMA frameworks, based on a Scopus search that retrieved 747 records. After applying inclusión and exclusion criteria, 93 documents were analyzed using text mining techniques and topic modeling (LDA), complemented by an in-depth interpretative analysis of the articles’ content.
Results: The review identified four main thematic axes encompassing researcher identification and personal attributes, academic trajectory, performance metrics in scientific and alternative contexts, distinctions, and dynamics of collaboration and work within research groups. These axes serve as a conceptual and practical guide for developing researcher profiles with enhanced contextualization.

More than 1001 Books you must read before you die: Measuring change, diversity and centrality in an evolving contemporary World Literary Canon according to Wikipedia and Wikidata metrics

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The culture of ranking and selection has a long tradition, increasingly shaped by quantification and digital interactions in contemporary contexts. This phenomenon manifests in various forms, such as bestseller lists and curated compilations of creative works across all time periods, serving as frameworks for cultural promotion and access. Within publishing, audiovisual content, and entertainment, inclusion in such rankings holds significant value. This study proposes methodologies for analyzing and comparing lists and rankings within specific domains, building upon the Wiki3DRank methodology developed for encyclopedic knowledge objects. When applied to literature, this approach offers insights into books as cultural artifacts that capture varying levels of attention.
Leveraging data from Wikipedia and Wikidata, the methodology synthesizes both informational and structured data about literary works. This approach is particularly relevant to exploring literary canons, a longstanding construct within institutional, educational, and cultural contexts. The study focuses on a subset of the canon linked to the creation of lists. While many lists lack in-depth literary critique, they provide schematic overviews of notable works, often organized by time periods, genres, or linguistic and national boundaries. All international editions of Peter Boxall’s work 1001 Books You Must Read Before You Die, published during the first quarter of the 21st century, are analyzed and measured, proposing metrics for comparison across editions and with other lists, including insights into the authors’ genres and the languages of the works.

Rethinking Book Industry Analysis: A Mesosystem Model for Strategic and Institutional Understanding

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Traditional analytical frameworks used to study the book industry—mainly linear, firm-centered,
and value-chain based—offer limited capacity to capture the relational, institutional dynamics that
characterize publishing ecosystems. To address this gap, this article introduces the Book Industry
Mesosystem Model (BIMM), a novel mesoeconomic and mesoanalytical framework that reconceptualizes
the book industry as a mesosystem embedded in economic, institutional, and territorial
structures. The model integrates five core concepts, six transversal dimensions, and twenty-five
agent typologies, providing an architecture for examining complexity beyond firm or market boundaries.
BIMM was developed through a 39-month multimethod design combining: 1) iterative conceptual
refinement with experts and industry professionals (n = 29), 2) semi-structured interviews with experts
and professionals (n = 43), and 3) application to two case studies focused on creation and production
processes. This hybrid research pathway ensured conceptual rigor, empirical grounding,
and transferability.
The resulting model provides a framework for examining coordination mechanisms, institutional
configurations, inter-agent dependencies, and transversal forces. Its empirical application reveals patterns of precarious work, concentration, technological dependency, and institutional mediation
that remain under-represented in traditional approaches. BIMM expands theoretical and methodological
horizons for research on cultural and creative industries, offering a foundation for comparative
analyses and mixed-method operationalization.

Visibility, Discoverability, Findability, Search Engine Optimization (SEO) and Academic SEO in Digital Repositories: A scoping review

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Visibility plays a critical role in enhancing the impact of scientific research, yet it is often interpreted in diverse and overlapping ways. Related concepts – such as discoverability, findability, search engine optimization (SEO), and academic search engine optimization (ASEO) – are frequently used interchangeably, despite having distinct meanings. This study aims to clarify how these terms are conceptualized in the context of digital repositories and to identify the techniques proposed to optimize them. A theoretical framework was first developed to define and differentiate these concepts based on their usage in the broader web environment. This was followed by a scoping review, conducted in accordance with the SALSA framework, of 67 scholarly articles that address the use of these terms within the domain of repositories. The review analyses how the concepts are understood and applied, and catalogues the optimization strategies discussed. The results reveal a lack of clear conceptual distinctions among the terms, which are often used synonymously. The review does however identify 22 distinct optimization techniques aimed at improving the visibility of content stored in digital repositories.

Teaching Media and Communication in the GenAI Era: an exploratory study

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Goals. This study investigates the perceptions that faculty members in Media and Communication develop toward the use of Generative Artificial Intelligence (GenAI) in current teaching activities, focusing on its influence within the educational environment.
Methodology. We use an exploratory qualitative approach through the focus groups conducted in two universities (University of Bucharest and Université Lumière Lyon 2) which allow us to develop a comparative understanding of the topic. The field of Media and Communication is particularly relevant to study, as it already faces extensive GenAI integration in the respective professional fields.
Results. Both in France, and in Romania, professors in Media and Communication tend to be cautious about using GenAI and integrating it in their practices. Although they recognize AI as a potential tool for innovation (more on the Romanian side), its actual integration in pedagogical methods is still limited. On the French side, the rejection is stronger. Faculty members generally view GenAI use among students with criticism, associating it with plagiarism and a lack of critical thinking. Our research contributes to the reflection about the pedagogical challenges of teaching Media in Communication in the GenAI era, drawing from a Romania-France comparative study performed in two universities.

Research on Research Visibility

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This editorial explores the significance of research visibility within the evolving landscape of academic communication, mainly focusing on the role of search engines as online meta-markets shaping the impact of research. With the rapid expansion of scientific output and the increasing reliance on algorithm-driven platforms such as Google and Google Scholar, the online visibility of scholarly work has become an essential factor in determining its reach and influence. The need for more rigorous research into academic search engine optimization (A-SEO), a field still in its infancy despite its growing relevance, is also discussed, highlighting key challenges in the field, including the lack of robust research methodologies, the skepticism within the academic community regarding the commercialization of science, and the need for standardization in reporting and measurement techniques. This editorial thus invites a multidisciplinary dialogue on the future of research visibility, with significant implications for academic publishing, science communication, research evaluation, and the global scientific ecosystem.

The impact of ChatGPT on journalism: social listening, bibliographic production, and media agenda

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Considering the powerful emergence of ChatGPT in society at large and in journalism in particular, this study aims to quantify the impact of ChatGPT on journalism from the perspective of news generation on this topic, its repercussions on social networks, and its impact on the academic sphere.  This study quantitatively analyses the impact of ChatGPT on journalism from its launch on 30 November 2022 to 18 November 2023. It examines news coverage, Wikipedia visits, social media posts (Facebook, Instagram, and X), and academic output. Data was collected from Media Cloud, Wikipedia, and Proquest. Results were generated in Flourish Studio, and analysis included normalization of records to avoid duplicates and ensure relevance to scholarly output. The analysis of diverse documents underscores the versatility of the technology and the growing intersection between automation and journalistic writing. The study anticipates a future of increased human-machine collaboration in journalism. Key findings indicate widespread global coverage of the topic, reflecting a commensurate audience interest, as evidenced by internet search logs and social conversations.

Good practices on open access publications of projects funded by Horizon 2020

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Elena Pastor-Ramon Biblioteca Virtual de Ciències de la Salut de les Illes Balears (Bibliosalut) elena.pastor@bibliosalut.com 0000-0003-2609-6541 Juan Antonio Casado Responsable de tecnología y data en AlterBiblio juanantonio@alterbiblio.com Alejandra Campos Universitat Autònoma de Barcelona alejandra.campos@uab.cat 0000-0002-3067-2647