Jason Lines

13 papers and 2.2k indexed citations i.

About

Jason Lines is a scholar working on Signal Processing, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Jason Lines has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 8 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. Recurrent topics in Jason Lines’s work include Time Series Analysis and Forecasting (9 papers), Complex Systems and Time Series Analysis (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Jason Lines is often cited by papers focused on Time Series Analysis and Forecasting (9 papers), Complex Systems and Time Series Analysis (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Jason Lines collaborates with scholars based in United Kingdom and United States. Jason Lines's co-authors include Anthony Bagnall, Aaron Bostrom, Jon Hills, James Large, Eamonn Keogh, Sarah Taylor, Luke M. Davis, James Mapp, Michael Flynn and Matthew Middlehurst and has published in prestigious journals such as Machine Learning, IEEE Transactions on Knowledge and Data Engineering and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Jason Lines i

Fields of papers citing papers by Jason Lines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jason Lines

Since Specialization
Citations

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