Eu-Jin Goh

About

Eu-Jin Goh is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Eu-Jin Goh has authored 2 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Eu-Jin Goh’s work include Cryptography and Data Security (1 paper), Cryptography and Residue Arithmetic (1 paper) and Cloud Data Security Solutions (1 paper). Eu-Jin Goh is often cited by papers focused on Cryptography and Data Security (1 paper), Cryptography and Residue Arithmetic (1 paper) and Cloud Data Security Solutions (1 paper). Eu-Jin Goh collaborates with scholars based in United States. Eu-Jin Goh's co-authors include Dan Boneh, Nagendra Modadugu, Hovav Shacham, Nan Wang, Jonathan Katz and Stanisław Jarecki and has published in prestigious journals such as Journal of Cryptology and Network and Distributed System Security Symposium.

In The Last Decade

Co-authorship network of co-authors of Eu-Jin Goh i

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Fields of papers citing papers by Eu-Jin Goh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eu-Jin Goh. 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 Eu-Jin Goh. The network helps show where Eu-Jin Goh may publish in the future.

Countries citing papers authored by Eu-Jin Goh

Since Specialization

Citations

This map shows the geographic impact of Eu-Jin Goh'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 Eu-Jin Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eu-Jin Goh 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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