Citations per year, relative to Christopher T. Robertson Christopher T. Robertson (= 1×)
peers
Stuart Blume
Countries citing papers authored by Christopher T. Robertson
Since
Specialization
Citations
This map shows the geographic impact of Christopher T. Robertson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher T. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Robertson more than expected).
Fields of papers citing papers by Christopher T. Robertson
This network shows the impact of papers produced by Christopher T. Robertson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher T. Robertson. The network helps show where Christopher T. Robertson may publish in the future.
Co-authorship network of co-authors of Christopher T. Robertson
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher T. Robertson.
A scholar is included among the top collaborators of Christopher T. Robertson based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Christopher T. Robertson. Christopher T. Robertson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bateman-House, Alison, et al.. (2020). Paying for Unapproved Medical Products. Journal of law and policy. 11(1). 85.5 indexed citations
7.
Robertson, Christopher T., et al.. (2017). Tip of the Iceberg II: How the Intended-Uses Principle Produces Medical Knowledge and Protects Liberty. eYLS (Yale Law School). 11(2). 770–802.1 indexed citations
8.
Robertson, Christopher T., et al.. (2017). Time is Money: An Empirical Assessment of Non-Economic Damages Arguments. Open Scholarship Institutional Repository (Washington University in St. Louis). 95(1). 1–52.4 indexed citations
Robertson, Christopher T., et al.. (2016). Big Data Neglects Populations Most in Need of Medical and Public Health Research and Interventions. SSRN Electronic Journal.1 indexed citations
12.
Robertson, Christopher T., et al.. (2016). Countering the Plaintiff’s Anchor: Jury Simulations to Evaluate Damages Arguments. Iowa law review. 101(2). 543–571.5 indexed citations
Yokum, David, et al.. (2015). An Empirical Method for Harmless Error. eYLS (Yale Law School).2 indexed citations
15.
Robertson, Christopher T.. (2014). When Truth Cannot Be Presumed: The Regulation of Drug Promotion Under an Expanding First Amendment. Boston University law review. 94(2). 545–574.1 indexed citations
16.
Sarpatwari, Ameet, Christopher T. Robertson, David Yokum, & Keith A. Joiner. (2014). Crowdsourcing Public Health Experiments: A Response to Jonathan Darrow's Crowdsourcing Clinical Trials. SSRN Electronic Journal. 98(6). 2326–2345.
17.
Robertson, Christopher T.. (2014). The Presumption Against Expensive Health Care Consumption. eYLS (Yale Law School). 49(3). 627.1 indexed citations
18.
Robertson, Christopher T.. (2013). The split benefit: The painless way to put skin back in the health care game. Cornell law review/The Cornell law quarterly. 98(4). 921–964.1 indexed citations
19.
Robertson, Christopher T., et al.. (2008). Get Sick, Get Out: The Medical Causes of Home Foreclosures. 18.6 indexed citations
20.
Robertson, Christopher T.. (2007). From Free Riders to Fairness: A Cooperative System for Organ Transplantation. eYLS (Yale Law School). 48(1). 1.7 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.