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<jats:p>Given the need in Scientometrics to get beyond merely classifying scientific production based on the classification of the journals in which it is published, there have been many attempts to classify papers directly. Little has been done, however, to check how reliable the results are. In this work, a collection of publications was generated which we call an Author’s Assignation Collection (AAC) comprising 13449 papers referenced in the Scopus database and classified by their research guarantor with fractional weighting in terms of Scopus’s own ASJC scheme. The methodological approach taken is described, and the collection’s representativeness is evaluated and compared with the journal-based classification. There stand out both the great number of papers assigned by their research guarantors to more than one category (at times with even the same weight) and how frequently authors assigned categories which were not assigned to the journals in which their paper was published.</jats:p>

<jats:p>The purpose of this paper is to commemorate the late scholar Loet Leydesdorff for his great academic contribution on the basis of data from Web of Science. In the span of more than 40 years, he had 526 publications, with the years 2004-2021 being the most productive (394 publications). His international collaborations spread widely across 36 countries, with Germany, the USA, the UK, China, Russia, and South Korea being the most significant. His most frequent collaboration partners included Lutz Bornmann (Germany), Staša Milojević (USA), Caroline Wagner (USA), Henry Etzkowitz (USA), Jonathan Adams (UK), Ronald Rousseau (Belgium), and Ping Zhou (China). With a broad and deep knowledge background, Leydesdorff’s research extended across multiple disciplines and fields, but he was most active in library and information science and computer science. He made profound contributions to the study of bibliometrics, innovation systems (the Triple Helix model), and communications. Leydesdorff had a remarkable and extensive citation impact, with citations in 221 WoS subject categories from 120 countries. His publications in 1996, 1998, 2000, 2005, 2006, and 2012 are highly cited, and those on university-industry-government relations (the Triple Helix model) are the most cited.</jats:p>

<jats:p>In 2006, Profesional de la Información (EPI) began to be indexed by international scientific literature databases and is currently one of the leading Spanish journals in Library &amp; Information Science and in Communication. Research fields can be characterized and analysed based on the patterns of keywords used in the publications. One of the most used techniques for this is co-word analysis. This technique is used in the present study to examine the structure of the research published in EPI. The journal’s two-fold spirit in Library &amp; Information Science and in Communication is revealed, comprising six main thematic areas. Since no poor behaviour is seen in any of these areas, it can be concluded that, in becoming part of WoS and Scopus, EPI has entered a virtuous cycle that has led it to successfully expand its thematic scope, and to attain levels of impact and excellence superior to those of its origins.</jats:p>

<jats:p>Diversity, as used in interdisciplinarity studies, has three components: variety, evenness, and dissimilarity. In 2019, Leydesdorff, Wagner, and Bornmann proposed an indicator, denoted as DIV*, that independently operationalized these three components and then combined them. Gini evenness is one factor in this formula. An important point is that Leydesdorff and his colleagues rejected so-called dual concepts, i.e. concepts that mix or are influenced by at least two of the three basic components of diversity. A few years ago Chao and Ricotta took a new look at “evenness” and showed that the Gini evenness measure, as well as the Lorenz curve, are dual concepts as they are influenced by variety. For this reason, I propose to replace the Gini evenness measure in DIV* with an evenness measure, actually an evenness profile, that is not influenced by variety.</jats:p>

<jats:p>This is a homage to Loet Leydesdorff, professor and leading scientist.. Through the combination of overlay maps, a visualization technique proposed by himself and Ismael Ràfols, together with the CAMEOs (Characterizations Automatically Made and Edited Online) proposed by Howard White, we project his scientific trajectory in five different scenarios, which turn out to be complementary. For each of the scenarios or CAMEOs, we show how he acts and interacts from the point of view of scientific research, providing the reader with online access to an interactive VOSviewer tool, so that he can check the information presented here, and even go deeper into the analysis. In fact, we encourage him to do so. To sum up, we can say that Loet was a brilliant scientist, a lone wolf who enjoyed collaborating with the best minds in his main research topics: scientific communication, innovation systems, bibliometrics, and science mapping; becoming in turn the reference point of these areas of research.</jats:p>