Organisation and staff

Peter Sjögårde

doctoral student at Department of ALM

Visiting address:
Engelska parken
Thunbergsv. 3H
751 26 Uppsala
Postal address:
Box 625
751 26 UPPSALA

Short presentation

Peter Sjögårde is doctoral student in Library and information studies. He is experienced within bibliometrics, studying the publication output, citation impact and collaboration dynamics within the research community. 

Also available at

My courses


Development and validation of methods for descriptive bibliometrics

Bibliometrics, the quantitative study of publication collections, is used to get information about the research processes, development and dynamics. The information can be used by researchers to get an overview of their research fields or by policy makers at various levels, for example to see the development over time or relationships between researchers in different parts of the world. Algorithmic methods to classify and visualize research has been around for more than half a century, but technological advances have recently made more complex, large-scale analysis systems possible, for example by algorithmic classification of research articles in extensive global databases such as Web of Science and Scopus. Currently, the classification in these databases is performed at the journal level and is made at a course level. Such classifications can only be used for studies on a comprehensive level and does not admit studies on more finely-grained levels. New methods have been developed to make such studies possible. Furthermore, comprehensive systems, in relation to local systems, provide preconditions to study relationships between research areas, identify emerging areas or study the interaction between researchers in different research fields. However, such studies puts requirements on the infrastructure of the systems used for analysis regarding subject differentiation, unique identification of researchers and/or research groups, practical applicability, such as opportunities to "zoom" between different levels, algorithmic assignment of descriptive terms to publication classes (labeling), etc. The global databases do not provide a complete infrastructure to meet these needs. The dissertation project aims to contribute to the development of methods that refines and complements the infrastructure to meet such needs, for example, methods for labeling hierarchical classifications or identification of research groups. Thus, the aim is to improve preconditions to answer questions about the research processes, development and dynamics.


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