Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Price manipulation in the Bitcoin ecosystem
2018492 citationsNeil Gandal, JT Hamrick et al.profile →
This map shows the geographic impact of Tyler Moore'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 Tyler Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Moore more than expected).
This network shows the impact of papers produced by Tyler Moore. 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 Tyler Moore. The network helps show where Tyler Moore may publish in the future.
Co-authorship network of co-authors of Tyler Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Moore.
A scholar is included among the top collaborators of Tyler Moore 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 Tyler Moore. Tyler Moore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Woods, Daniel & Tyler Moore. (2019). The County Fair Cyber Loss Distribution:Drawing Inferences from Insurance Prices. Oxford University Research Archive (ORA) (University of Oxford).9 indexed citations
7.
Moore, Tyler, et al.. (2018). Cybersecurity Research Datasets: Taxonomy and Empirical Analysis.. USENIX Security Symposium.15 indexed citations
8.
Feder, Amir, Neil Gandal, JT Hamrick, Tyler Moore, & Marie Vasek. (2018). The rise and fall of cryptocurrencies.4 indexed citations
9.
Gandal, Neil, et al.. (2017). Price Manipulation in the Bitcoin Ecosystem. RePEc: Research Papers in Economics.3 indexed citations
10.
Gañán, Carlos, et al.. (2015). Understanding the Role of Sender Reputation in Abuse Reporting and Cleanup..10 indexed citations
11.
Clayton, Richard, Tyler Moore, & Nicolas Christin. (2015). Concentrating Correctly on Cybercrime Concentration..15 indexed citations
12.
Böhme, Rainer, et al.. (2014). Understanding the Influence of Cybercrime Risk on the E-Service Adoption of European Internet Users.11 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.