Rebecca T. Mercuri

27 papers and 358 indexed citations i.

About

Rebecca T. Mercuri is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rebecca T. Mercuri has authored 27 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Rebecca T. Mercuri’s work include Advanced Malware Detection Techniques (4 papers), Teaching and Learning Programming (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Rebecca T. Mercuri is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Teaching and Learning Programming (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Rebecca T. Mercuri collaborates with scholars based in United States. Rebecca T. Mercuri's co-authors include Ananya Misra, Peter G. Neumann, L. Jean Camp and Nira Herrmann and has published in prestigious journals such as Communications of the ACM, IEEE Spectrum and Proceedings of the 35th SIGCSE technical symposium on Computer science education.

In The Last Decade

Co-authorship network of co-authors of Rebecca T. Mercuri i

Fields of papers citing papers by Rebecca T. Mercuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebecca T. Mercuri. 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 Rebecca T. Mercuri. The network helps show where Rebecca T. Mercuri may publish in the future.

Countries citing papers authored by Rebecca T. Mercuri

Since Specialization
Citations

This map shows the geographic impact of Rebecca T. Mercuri'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 Rebecca T. Mercuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca T. Mercuri 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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