Producción Científica

 

 

Machine learning and deep learning are currently widely used in various fields, including remote sensing for food security. However, there is no research that specifically examines the interests, developments, and trends of this research in the future. This study aims to examine the development of machine and deep learning research for mapping food crops through a bibliometric approach with computational mapping analysis using VOSviewer. Article data was obtained from the Google Scholar database using the publish or perish reference manager application. The title and abstract of the article were used to guide the search process by referring to the keyword “Machine and Deep Learning Mapping Food Crops”. 114 relevant articles were discovered. Google Scholar-indexed articles over the last ten years, from 2014 to 2023, were used as study material. The results show that machine research and deep learning for mapping food crops can be separated into three terms: machine learning, deep learning, and plant mapping. The term “Crop Mapping” has 57 links for a total of 199 links. The term “machine learning” has 41 links for a total of 79 links, and the term “deep learning” has 26 links for a total of 41 links. The results of the analysis of machine development and deep learning publications for mapping food crops in the last 10 years show a constant increase. The peak of the increase occurred in 2021 and 2022, namely 25 articles published per year, respectively. This means that this research topic is still relatively new in terms of interest and exploration, therefore there is still room further research. We examine numerous articles that have been published on machine and deep learning for crop mapping and their relation to the field studied with VOSviewer. This review can serve as a starting point for further research in different domains.

 

 

This study aims to examine the development and trends of research related to radicalism in the context of digital technology. Research data was obtained using the Publish or Perish reference manager application by taking references from journals indexed by Google Scholar. A total of 907 articles relevant to the keywords “Radicalism” AND “Digital Technology” from 2018 to 2023 were collected. The data was then analysed and visualized using the VOSviewer application. The results provide insight into the development of radicalism research in the era of digital technology. Bibliometric analysis reveals year-to-year research trends, the main contribution of citation counts, and the development of key concepts in the literature. The results of this study can provide a foundation for future research into a better understanding of radicalism in the context of digital technology.

 

 

In this editorial, we will introduce the contributions to the Special Issue entitled “Measuring Open Access Uptake: Databases, Metrics, and International Comparisons.” The contributions to this Special Issue explore the methods and metrics that are used to assess open access (OA) uptake across disciplines and regions, a crucial topic considering the growing push by several research institutions worldwide to achieve 100% OA. We will discuss the impact of OA on scholarly publishing, focusing on how economic factors and discipline-specific practices shape its adoption. Additionally, we will examine the transformation of OA models, the citation benefits of a hybrid OA model, and regional perspectives. Our analysis identifies key challenges and disparities in OA adoption and suggests future directions for achieving sustainable and equitable access to research.

 

 

The steady increase in academic production has been paralleled by a surge in the number of bibliometric and systematic literature reviews (SLRs) published. Over the years, scholars began to combine bibliometric analyses with SLRs. However, such combined approaches relied on fragmented methodological suggestions without clear guiding frameworks. This article introduces integrated guidelines for undertaking multi-method literature reviews, combining bibliometric analyses with SLRs and theory development, which we call ‘Bibliometric-Systematic Literature Review’ (B-SLR). In doing so, we develop a 10-step process on how to apply the B-SLR. In each of the proposed steps, we discuss critical decisions and best practices to support researchers while crafting meaningful and theoretically relevant literature reviews. The B-SLR is intended as a flexible toolbox designed to accommodate diverse research objectives in the miner–prospector continuum, spanning from reviewing, theorising, tracing future roadmaps or creating bridges among different topics. The B-SLR incorporates the pillars of critical analysis, timeliness, coverage, rigour, coherence and originality of contribution, also emphasising the need for a novel and relevant theoretical contribution. The B-SLR is supported by a companion website, providing additional resources to assist researchers in this 10-step process: https://www.b-slr.org.

 

 

This study examines the publication performance of the Czech Republic, Poland, Hungary, and Slovakia across 24 social science disciplines indexed by Scopus from 2019 to 2023. Using data from Scopus, SciVal, and Scimago, we analyzed regional journal statuses, disciplinary backlogs, journal biases, and publication excellence. Our results show that Poland and the Czech Republic lead in journal and publication counts, whereas Hungary and Slovakia lag behind significantly. Four disciplines—e-learning, human factors and ergonomics, life-span and life-course studies, and social work—had minimal or no publications, highlighting their marginalization. We found a high internal bias in publication practices, notably in Poland and Hungary, which raises concerns considering the Norwegian list standards. While Poland and the Czech Republic show a higher proportion of excellent publications, the overall number of high-quality articles remains low, and publications by the Big Five publishers are exceedingly limited. This analysis underscores the need for strategic policy interventions to enhance research quality and international collaboration to improve the scientific standing of the Visegrad countries.

 

 

Using the bibliometric software VOSviewer® version 1.6.20 and Scopus as a bibliographic database, this paper aims to investigate the research streams in terms of the co-occurrence network of authors, terms extracted from the title field, countries, keywords, and organizations researching on IM from publications between 1974 and 2024. Retrieved from Scopus and using science mapping bibliometric techniques with VOSviewer®, 4756 documents published on IM from 1974 to 2024 were analyzed, divided in three phases (1974–1995, 1996–2019, and 2020–2024), and limited to BMA (Business, Management, and Accounting), EEF (Economics, Econometrics, and Finance), and SOC (Social Sciences). The main findings are as follows: (a) there is a tendency for a minimal relationship between authors from different organizations and countries to collaborate in research on IM; (b) almost half (45.12%) of the publications on IM were published by authors from the European Union, which rises to 55.24% in Europe if the United Kingdom is included. These results are far ahead of those of the United States (13.4%), China (7.6%), the Russian Federation (3.6%), and Japan (2.3%). (c) While the first publications on IM deal with aspects related to product development, management, technology, R&D, and competition, there is a recent trend to link IM to sustainable development, open innovation, ecosystems, stakeholders’ engagement, and entrepreneurship.

 

 

Discussions about epistemic inequalities have for several years highlighted the need to engage critically and reflexively with the politics of citation. Many authors have called for colleagues to correct longstanding epistemic and material injustices by proactively citing scholars and scholarship from marginalised groups, thereby producing radical knowledge that disrupts power. Analysing the epistemic-political grammar of these calls, I note that they often assume that resistance and disruption are intrinsic to corrective citation – i.e. that citing names understood as marginal will by default undermine relations of power. But is that always the case? Drawing on three sets of empirical examples, I demonstrate that citation often does not have the epistemic and material effects we predict, or hope, it will, and may reinforce some inequalities at the same time as it disrupts others. I show that the effects of citation are complex and contingent because they are shaped by unpredictable interactions between different structures of power, unexpected (dis)connections between global and local inequalities, and dynamic relationships between injustice within texts and inequalities beyond them. I argue, therefore, that we must question the more binary and reifying logics of contemporary conceptualisations of citation and attempt to think about corrective citation differently. To contribute to this rethinking, I draw on several authors to propose an approach that celebrates the potential of corrective citation, but remains attentive to its limitations, foregrounding complexity and opacity, recognising the possible failures of radical epistemic practices, and probing our affective investments in them.

 

 

Despite lip service about replication being a cornerstone of science, replications have historically received little real estate in the published literature. Following psychology’s recent replication crisis, we assessed the prevalence of one type of replication contribution: direct replication articles—articles where a direct or close replication of a previously published study is one of the main contributions of the article. This prevalence provides one indicator of how much the field values and incentivizes this type of self-correction. We used a keyword search combined with manual checking to identify direct replication articles that were published from 2010 to 2021 in the 100 highest impact psychology journals. In total, only 0.2% of articles (169 articles out of 84,834) were direct replication articles. There was a small suggestive increase in the prevalence of direct replication articles over time. Additionally, journals with a stated policy of considering replication submissions (31% of journals) were 7.85 times more likely to publish direct replication articles than those without such a policy. Fifty-four out of 88 journals did not publish any direct replication articles in the 11 years surveyed. Our estimate is not the same as the prevalence of direct replication studies overall (direct replication results can be shared in many ways other than as direct replication articles in top journals). Ultimately, direct replication articles are still rare, with a few journals doing most of the heavy lifting. Based on these findings, we argue it would be premature to declare that psychology’s replication crisis is over. (PsycInfo Database Record (c) 2024 APA, all rights reserved)

 

 

This study investigates the factors influencing the number of Nobel Laureates per million population across various countries. Using data from 62 countries, we examine the impact of key variables including R&D expenditure as a percentage of GDP, educationaloutcomes (PISA scores), coffee consumption per capita, the percentage of women in parliament, and brain drain. Employing Ordinary Least Squares (OLS) regression, our analysis reveals that both R&D expenditure and coffee consumption are statistically significantpredictors of Nobel laureates per million. Notably, higher R&D spending correlates with more Nobel laureates, though this effect is attenuated by high levels of brain drain, which reduces the effectiveness of R&D investments. Coffee consumption, while also significant, may reflect broader socio – cultural factors related to intellectual engagement and productivity. The study highlights the need for comprehensive policies that not only promote research and development but also address talent retention to maximize scientific achievements. Future research should explore these dynamics further, considering more complex interactions and broader datasets to enhance our understanding of the factors contributing to Nobel laureateship.

 

 

Psychosociology theories indicate that individual evaluation is integral to the recognition of professional activities. Building upon Christophe Dejours’ contributions, this recognition is influenced by two complementary judgments: the “utility” judgment from those in hierarchy and the “beauty” judgment from the peers. The aim of this paper is to elucidate how at INRAE individual assessment of scientists is conducted. This process follows a qualitative and multicriteria-based approach by peers, providing both appreciations and advice to the evaluated scientists (the “beauty” judgment). Furthermore, we expound on how INRAE regularly adapts this process to the evolving landscape of research practices, such as interdisciplinary collaboration or open science, assuring that assessments align with the current approaches of research activities.