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.
Zerocash: Decentralized Anonymous Payments from Bitcoin
2014974 citationsAlessandro Chiesa, Christina Garman et al.profile →
Zerocoin: Anonymous Distributed E-Cash from Bitcoin
2013519 citationsIan Miers, Christina Garman et al.profile →
Charm: a framework for rapidly prototyping cryptosystems
2013444 citationsJoseph A. Akinyele, Christina Garman et al.Journal of Cryptographic Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Christina Garman
Since
Specialization
Citations
This map shows the geographic impact of Christina Garman'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 Christina Garman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Garman more than expected).
Fields of papers citing papers by Christina Garman
This network shows the impact of papers produced by Christina Garman. 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 Christina Garman. The network helps show where Christina Garman may publish in the future.
Co-authorship network of co-authors of Christina Garman
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Garman.
A scholar is included among the top collaborators of Christina Garman 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 Christina Garman. Christina Garman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Arora, Arushi, et al.. (2021). Bento. 821–835.4 indexed citations
9.
Garman, Christina, et al.. (2020). Achieving Keyless {CDNs} with Conclaves. USENIX Security Symposium. 735–751.7 indexed citations
10.
Checkoway, Stephen, Christina Garman, Joshua Fried, et al.. (2018). Where did I leave my keys?. Communications of the ACM. 61(11). 148–155.3 indexed citations
11.
Garman, Christina, Matthew Green, Gabriel Kaptchuk, Ian Miers, & Michael Rushanan. (2016). Dancing on the lip of the volcano: chosen ciphertext attacks on apple imessage. 655–672.18 indexed citations
Garman, Christina, Kenneth G. Paterson, & Thyla van der Merwe. (2015). Attacks only get better: password recovery attacks against RC4 in TLS. 113–128.20 indexed citations
Chiesa, Alessandro, Christina Garman, Matthew Green, et al.. (2014). Zerocash: Decentralized Anonymous Payments from Bitcoin. 459–474.974 indexed citations breakdown →
16.
Ben‐Sasson, Eli, Alessandro Chiesa, Christina Garman, et al.. (2014). Zerocash: Decentralized Anonymous Payments from Bitcoin (extended version).10 indexed citations
Akinyele, Joseph A., Christina Garman, Ian Miers, et al.. (2013). Charm: a framework for rapidly prototyping cryptosystems. Journal of Cryptographic Engineering. 3(2). 111–128.444 indexed citations breakdown →
19.
Miers, Ian, et al.. (2013). Zerocoin: Anonymous Distributed E-Cash from Bitcoin. 397–411.519 indexed citations breakdown →
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.