Christina Garman

About

Christina Garman is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christina Garman has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christina Garman’s work include Cryptography and Data Security (8 papers), Security and Verification in Computing (5 papers) and Cryptographic Implementations and Security (4 papers). Christina Garman is often cited by papers focused on Cryptography and Data Security (8 papers), Security and Verification in Computing (5 papers) and Cryptographic Implementations and Security (4 papers). Christina Garman collaborates with scholars based in United States, Israel and Germany. Christina Garman's co-authors include Ian Miers, Aviel D. Rubin, Matthew Green, Alessandro Chiesa, Eran Tromer, Madars Virza, Joseph A. Akinyele, Matthew Green, Michael Rushanan and Matthew W. Pagano and has published in prestigious journals such as Communications of the ACM, Journal of Cryptographic Engineering and eScholarship (California Digital Library).

In The Last Decade

Co-authorship network of co-authors of Christina Garman i

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Fields of papers citing papers by Christina Garman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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.

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