Tree of Science (ToS) is a web-based tool which uses the network structure of paper citation to identify relevant literature. ToS shows the information in the form of a tree, where the articles located in the roots are the classics, in the trunk are the structural publications, and leaves are the most current papers. It has been found that some results in the leaves can be separated from the tree. Therefore, an algorithm (SAP) is proposed, in order to improve results in the leaves. Two improvements are presented: articles located in the leaves are from the last five years, and they are connected to root and trunk articles through their citations. This improvement facilitates construction of current literature for researchers.

El éxito de una empresa no solo se basa en la calidad de sus productos si no también en la forma como es recordada su marca en el mercado y a este proceso se le conoce como branding corporativo. Este tipo de estrategia ha sido reconocida como un área importante en las ciencias administrativas y necesita de una revisión detallada. Este artículo tiene como propósito mostrar la evolución del branding corporativo a través una revisión de la literatura, para ello se realiza un análisis de red apoyado en técnicas bibliométricas, además, se presentan las perspectivas de este campo de estudio en la actualidad. Para esto, se realizó una consulta en Web of Science, después se clasificaron los documentos más importantes a través de la plataforma web Tree of Science y, al final, se efectúa un análisis de co-citaciones. Este último análisis mostró que el branding corporativo presenta tres perspectivas: efecto de la marca generado por las alianzas corporativas, la influencia de la responsabilidad social y la gestión de la identidad de la marca.

The systematic literature review presented here is designed to illustrate the role of metabonomics and metabolomics in pesticide exposure studies. The search was conducted in Thomson Reuters Web of Science (ISI Web of Knowledge) database. The references and citations for each article were downloaded for analysis. Graph theory was used to determine relevant articles and distinct relationships between classic and current research in this field through its structural characteristics. The initial network included 4423 nodes and 4978 links, from which indegree, outdegree and betweenness indicators were extracted. After preprocessing the data, the network was reduced to 415 nodes and 974 links. From this network, 80 articles with the highest score between the three indicators were extracted for review. This methodology allowed for the identification of different perspectives of metabolomic and metabonomic pesticide studies that included the mode and mechanism of action, toxicological and biological monitoring, environmental metabolomics, metabolism, dose response and biomarkers and its role in pesticide exposure.Keywords: Metabonomics; metabolomics; pesticides. ResumenLa revisión sistemática de literatura presentada a continuación tiene como objetivo dar a conocer el rol que han tenido la metabolómica en el estudio de la exposición a plaguicidas. La búsqueda se llevó a cabo en la base de datos Thomson Reuters Web of Science (ISI Web of Knowledge). Posteriormente, se descargaron todos los registros producto de resultado de la búsqueda y cada citación dentro de cada artículo. Estas referencias fueron analizadas mediante la teoría de grafos con el fin de identificar los artículos más relevantes, los artículos clásicos y recientes y los que presentan mayor intermediación en el tema de investigación. La red de citaciones fue construida con inicialmente con 4423 nodos (artículos) y 4978 enlaces (citaciones) a los cuales se les determinó los indicadores de grado de entrada, grado de salida y centralidad en el grafo. Posteriormente, esta red de citaciones fue procesada eliminando los artículos desconectados, reduciendo la red a 415 nodos y 974 enlaces. De esta red ya procesada se extrajeron 80 artículos que presentaron mayores indicadores de grado y centralidad. Finalmente, esta metodología permitió la identificación de diferentes perspectivas de los estudios metabolómicos y metabonómicos en la exposición a plaguicidas que incluyen estudios de modo de acción, mecanismos de acción, monitoreo biológico y toxicológico, metabolómica ambiental, metabolismo, dosis respuesta e identificación de biomarcadores.Palabras clave: Metabolómica, metabonómica, pesticidas.

Can, and should, artificial intelligence (AI) and its machine learning (ML) variant be applied to study scholarly literature? With AI and ML rapidly disrupting industries, we investigate how scholars in entrepreneurship and small business management can capitalize on AI and ML to support their scholarship and comprehensively review, catalog, and analyze the literature. We examine various ML tools and deploy these tools against a published literature review to consider whether ML complements or substitutes scholars' agency. We show that ML can reinforce human findings to support replicability and robustness, adding additional layers of transparency and validity to conclusions from human-derived systematic reviews. Our contributions provide scholars with valuable guidance and a blueprint for adopting ML into their scholarship and not replacing their scholarship.

Executive dysfunction is associated with the inability to control aberrant behaviors, such as chronic overeating (Moore, Sabino, Koob, & Cottone, 2017). Obese individuals often report great difficulties controlling eating behaviors, despite a desire to successfully lose weight (Dohle, Diel, & Hofmann, 2018). However, current literature lacks a systematic review about the relationship between executive dysfunction and Obesity. The aim of this study is to present the most important findings about this matter. First, a bibliometric analysis shows the evolution of the topic. Then, the Tree of Science tool is used to show a chronological review that provides a general description of the roots and current perspectives of the state of literature. Finally, clustering analysis of the co-citation network was employed to identify the different perspectives of the topic. The main findings suggest four approaches: (1) effects of body mass index on executive functioning, (2) executive functioning in children with overweight and obesity, (3) physical activity for adult obesity and (4) structural and functional brain changes in obesity. Preliminary data state that in obesity, poor food choices may be associated with frontal cognitive impairments that contribute to reduced orbito-frontal cortex volume.