Welcome to the Hutchins Lab
A member of the UW-Madison Metascience Research Lab
We seek avenues to improve the research enterprise and accelerate biomedical research advances using quantitative analysis of information networks and machine learning. Prof. Hutchins previously worked as a data scientist at NIH, where he developed the iCite bibliometrics dashboard, along with many of its quantitative metrics and the NIH Open Citation Collection database. He also spearheaded the development of the NIH COVID-19 Portfolio to track and disseminate cutting-edge COVID-19 research in real time.
Hoppe, Travis A. et al. “Predicting causal citations without full text”, bioRxiv 2022 doi:10.1101/2022.07.05.498860
Hoppe, Travis A et al. “Topic choice contributes to the lower rate of NIH awards to African-American/black scientists.” Science advances vol. 5,10 eaaw7238. 9 Oct. 2019, doi:10.1126/sciadv.aaw7238 PMID:31633016
Hutchins, B Ian et al. “Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level.” PLoS biology vol. 14,9 e1002541. 6 Sep. 2016, doi:10.1371/journal.pbio.1002541 PMID:27599104