Publications

Collaborative research is becoming increasingly important. By linking competences and experiences, sharing cost-intensive resources and bringing together different disciplinary perspectives, synergy effects are generated and innovative research projects are promoted. However, the collaboration of researchers also involves risks that can be traced back to the framework conditions that characterise the collaboration of the participants. The DEKiF project ("Determinants and Effects of Cooperations in Homogeneous and Heterogeneous Research Associations") examines the implementation of collaborative research within the framework of different sub-studies with the aim of mapping cooperation problems.

In this study we propose and evaluate a method to automatically identify the journal publications that are related to a Ph.D. thesis using bibliographical data of both items. We build a manually curated ground truth dataset from German cumulative doctoral theses that explicitly list the included publications, which we match with records in the Scopus database. We then test supervised classification methods on the task of identifying the correct associated publications among high numbers of potential candidates using features of the thesis and publication records. The results indicate that this approach results in good match quality in general and with the best results attained by the “random forest” classification algorithm.

Often, bibliometric mapping studies remain at a very abstract level when assessing the validity or accuracy of the generated maps. In this case study of citation-based mappings of a research specialty, we dig deeper into the topical structures generated by the chosen mapping approaches and examine their correspondence to a sociologically informed understanding of the research specialty in question. Our analysis highlights the variety of types of topical relatedness and epistemic interdependency that citations can stand for. Unless we assume that invasion biology is unique, our analysis suggests that global algorithmic field classification approaches that use citation links indiscriminately may struggle to reconstruct research specialties.