This reading list is a small sample of a very rich literature in scientometrics and computer science. Inevitably, it reflects the personal interests of the instructors. There are many more articles that could (and should be read) but we cannot construct a very long reading list for a 4 credit course and expect the students to read all of it.
- The Use of Citation Data in Writing the History of Science (1964)
- Networks of Scientific Papers (1965)
- Co-citation in the scientific literature: A new measure of the relationship between two documents (1973)
- Theories of Citation (1998)
- On The Shoulders of Giants (1999)
- An Impossibility Theorem for Clustering (2002)
- Resolution limit in community detection (2007)
- Planetary-Scale Views on a Large Instant-Messaging Network (2008)
- Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches (2011)
- Evaluating Cooperation in Communities with the k-Core Structure (2011)
- Finding Statistically Significant Communities in Networks (2011)
- Clustering, Science or Art? (2011)
- Tolerating the community detection resolution limit with edge weighting (2011)
- A new methodology for constructing a publication-level classification system of science (2012)
- Atypical Combinations and Scientific Impact (2013)
- Bayesian Nonparametric Models for Community Detection (2013)
- Identifying emerging topics in science and technology (2014)
- Defining and identifying Sleeping Beauties in science (2015)
- Tradition and Innovation in Scientists’ Research Strategies (2015)
- Community detection in networks: A user guide (2016)
- From Louvain to Leiden: guaranteeing well-connected communities (2019)
- Large teams develop and small teams disrupt science and technology (2019)
- Scalable Generation of Graphs for Benchmarking HPC Community-Detection Algorithms (2019)
- The Changing Temptations of Science. (2020)
- Recency predicts bursts in the evolution of author citations (2020)
- How Academic Science Gave Its Soul To The Publishing Industry (2020)
- Diversity in citations to a single study: A citation context network analysis of how evidence from a prospective cohort study was cited (2021)
- Center–periphery structure in research communities (2022)
- How relevant is climate change research for climate change policy? An empirical analysis based on Overton data (2022)
- The confirmation of scientific theories using Bayesian causal networks and citation sentiments (2022)