John Paparrizos

About

John Paparrizos is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, John Paparrizos has authored 35 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in John Paparrizos’s work include Time Series Analysis and Forecasting (23 papers), Anomaly Detection Techniques and Applications (16 papers) and Complex Systems and Time Series Analysis (6 papers). John Paparrizos is often cited by papers focused on Time Series Analysis and Forecasting (23 papers), Anomaly Detection Techniques and Applications (16 papers) and Complex Systems and Time Series Analysis (6 papers). John Paparrizos collaborates with scholars based in United States, France and Greece. John Paparrizos's co-authors include Luis Gravano, Michael J. Franklin, Themis Palpanas, Paul Boniol, Aaron J. Elmore, Ryen W. White, Eric Horvitz, Chunwei Liu, Ruey S. Tsay and Hao Jiang and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and ACM SIGMOD Record.

In The Last Decade

Co-authorship network of co-authors of John Paparrizos i

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Fields of papers citing papers by John Paparrizos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Paparrizos

Since Specialization

Citations

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