Nadya Bliss

15 papers and 376 indexed citations i.

About

Nadya Bliss is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Nadya Bliss has authored 15 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Statistical and Nonlinear Physics and 4 papers in Artificial Intelligence. Recurrent topics in Nadya Bliss’s work include Complex Network Analysis Techniques (5 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Graph Neural Networks (2 papers). Nadya Bliss is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Graph Neural Networks (2 papers). Nadya Bliss collaborates with scholars based in United States and United Kingdom. Nadya Bliss's co-authors include Benjamin A. Miller, Jeremy Kepner, Patrick J. Wolfe, Paul Westerhoff, Giuseppe Mascaro, Dave D. White, Jan Medlock, Kamaldeen Okuneye, Sherry Towers and Shehzad Afzal and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Nadya Bliss i

Fields of papers citing papers by Nadya Bliss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadya Bliss. 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 Nadya Bliss. The network helps show where Nadya Bliss may publish in the future.

Countries citing papers authored by Nadya Bliss

Since Specialization
Citations

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