Selected Publications 2022: An improved practical approach to forecasting exceptional growth in research2022: The confirmation of scientific theories using Bayesian causal networks and citation sentiments2022: Understanding the structure, characteristics, and future of collective intelligence using local and global bibliometric analyses2021: Investigating disagreement in the scientific literature2020: A comparison of large-scale science models based on textual, direct citation and hybrid relatedness2020: A detailed open access model of the PubMed literature2020: A novel approach to predicting exceptional growth in research2020: Work honored by Nobel prizes clusters heavily in a few scientific fields2020: A principled methodology for comparing relatedness measures for clustering publications2019: Citations and certainty: a new interpretation of citation counts2019: Creation and Analysis of Large-Scale Bibliometric Networks2018: Characterizing highly cited method and non-method papers using citation contexts: The role of uncertainty2018: Thousands of scientists publish a paper every five days2018: Toward predicting research proposal success2018: Characterizing in-text citations in scientific articles: A large-scale analysis2017: Research portfolio analysis and topic prominence2017: Comparison of topic extraction approaches and their results2017: Thesaurus-based methods for mapping contents of publication sets2017: Discovering discoveries: Identifying biomedical discoveries using citation contexts2017: Investigating the effect of global data on topic detection2017: The Research Focus of Nations: Economic vs. Altruistic Motivations2017: Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?2014: Identifying emerging topics in science and technology2009: Toward a consensus map of science
