Science Tree: a platform for exploring the brazilian academic genealogy

Identifying and studying the formation of researchers over the years is a challenging task, since the current repositories of theses and dissertations are cataloged in a decentralized manner in different digital libraries, many of them with limited scope. In this article, we report our efforts towards building a large repository to record the Brazilian academic genealogy. For this, we collected data from the Lattes platform, an internationally recognized initiative that provides a repository of researchers’ curricula maintained by the Brazilian National Council for Scientific and Technological Development (CNPq), and developed a user-oriented platform, named Science Tree, to generate the academic genealogy trees of Brazilian researchers from them, also providing additional data resulting from a series of analyses regarding the main properties of such trees. In order to assess the facilities provided by the Science Tree platform, we conducted an experimental evaluation of it with two groups of users, the first one consisting of 286 researchers who answered an evaluation questionnaire and the second one involving seven researchers with large academic experience who agreed to participate in a face-to-face assessment conducted through a personal interview, during which they performed some pre-defined tasks. The results of these two evaluations with typical users enabled us not only to validate the main features offered by the platform, but also to identify new ones that could be added to it in the future. Overall, our effort has allowed us to identify interesting aspects related to the academic career of the Brazilian researchers, thus highlighting the importance of generating and cataloging their academic genealogy trees.

ALIS: A novel metric in lineage-independent evaluation of scholars

Evaluative bibliometrics often attempts to explore various methods to measure individual scholarly influence. Scholarly independence (SI) is a unique indicator that can be used to understand and assess the research performances of individual scholars. The SI is a rare quality that most funding agencies and universities seek during funding decisions or hiring processes. We propose author lineage independent score (ALIS), a unique model to measure SI of a scholar by using his or her academic genealogy tree as the underlying graph structure. The analysis is performed on real data of 100 authors, collected from the Web of Science (WoS) and the Mathematics Genealogy Project. The analysis is further validated on a larger scale, on a simulated sample of 10,000 authors. The simulation exercise is the proof-of-concept for scalability of the metric and the proposed optimisation model. ALIS exploits genealogical relationships between scholars and their mentors and collaborating communities and constructs an influence scoring model based on the Genealogy tree structure of the respective scholars. The implications from the theoretical model are found to be profound in tracing known and recursive citation patterns among peers. The genealogy tree is used to investigate the advisor–advisee relationship and lays the foundation for defining metrics used to calculate the various indicators such as non-genealogy citations (NGCs), non-community citations (NCCs) and other citation quotient (OCQ). As these indicators/parameters are novel and thus not readily accessible, algorithms are written to compute these indicator values for the scholars under study.

Bibliometric-based Study of Scientist Academic Genealogy

Purpose This study aims to construct new models and methods of academic genealogy research based on bibliometrics. Design/methodology/approach This study proposes an academic influence scale for academic genealogy, and introduces the w index for bibliometric scaling of the academic genealogy. We then construct a two-dimensional (academic fecundity versus academic influence) evaluation system of academic genealogy, and validate it on the academic genealogy of a famous Chinese geologist. Findings The two-dimensional evaluation system can characterize the development and evolution of the academic genealogy, compare the academic influences of different genealogies, and evaluate individuals’ contributions to the inheritance and evolution of the academic genealogy. Individual academic influence is mainly indicated by the w index (the improved h index), which overcomes the situation of repeated measurements and distortion of results in the academic genealogy. Practical implications The two-dimensional evaluation system for the academic genealogy can better demonstrate the reproduction and the academic inheritance ability of a genealogy. Research limitations It is not comprehensive to only use the w index to characterize academic influence. It should also include scholars’ academic awards and academic part-timers and so on. In future work, we will integrate scholars’ academic awards and academic part-timers into the w index for a comprehensive reflection of scholars’ individual academic influences. Originality/value This study constructs new models and methods of academic genealogy research based on bibliometrics, which improves the quantitative assessment of academic genealogy and enriches its research and evaluation methods.

Characterizations of Psychometrics

Psychometrics is a mostly technical and model-based discipline that is concerned with (quantitative) psychological measurement. This dissertation aims to uncover the intricacies of this discipline by drawing up three characterizations of psychometrics: a historical characterization, an ethnographic characterization, and a philosophical characterization. The historical characterization involves an academic genealogy of psychometrics, in which the history of psychometrics is visualized by tracing back the doctoral advisors of prominent psychometricians. In the ethnographic characterization, psychometricians are interviewed on the history and future of their discipline, as well as the dealings of contemporary psychometrics. The philosophical characterization offers a realist reading of psychometric models and an analysis of the use of values in psychometric research. Though each characterization certainly has its own distinct methodological features, together the characterizations paint a multidimensional and nuanced portrait of psychometrics. Psychometrics turns out to be a diverse discipline that incorporates a number of tensions: 1) psychometrics seems to be a subfield of psychology but also a discipline that can be characterized as a subdiscipline of statistics; 2) psychometricians use models that imply a realist philosophy (useful for formulating hypotheses), but at the same time engage in mostly building useful applications; and 3) though psychometrics has played a considerable role in historical and modern-day society, the discipline also seems quite isolated from real social involvement. All in all, I hope that this dissertation unlocks some of the complexities of psychometrics, and specifically, makes psychometrics a more accessible research area for fellow historians, philosophers, and sociologists of science.

From the Ritter pile to the aluminum ion battery – Peter Paufler’s academic genealogy

This article highlights Peter Paufler’s academic genealogy on the occasion of his 80th birthday. We describe the academic background since 1776, which covers 11 generations of scientists: Ritter, Ørsted, Han-steen, Keilhau, Kjerulf, Brøgger, Goldschmidt, Schulze, Paufler, Meyer, and Leisegang. The biographies of these scientists are described in spotlight character and references to scientists such as Dehlinger, Ewald, Glocker, Röntgen, Vegard, Weiss, and Werner are given. A path is drawn that begins in the Romanticism with electrochemistry and the invention of what is probably the first accumulator. It leads through the industrialization and the modern geology, mineralogy, and crystallography to crystal chemistry, metal and crystal physics and eventually returns to electrochemistry and the aluminum-ion accumulator in the era of the energy transition. The academic genealogy exhibits one path of how crystallography develops and specializes over three centuries and how it contributes to the understanding of the genesis of the Earth and the Universe, the exploration of raw materials, and the development of modern materials and products during the industrialization and for the energy transition today. It is particularly characterized by the fields of physics and magnetism, X-ray analysis, and rare-earth compounds and has strong links to the scientific landscape of Germany (Freiberg) and Scandinavia, especially Norway (Oslo), as well as to Russia (Moscow, Samara, St. Petersburg). The article aims at contributing to the history of science, especially to the development of crystallography, which is the essential part of the structural science proposed by Peter Paufler.