James Large

7 papers and 1.2k indexed citations i.

About

James Large is a scholar working on Artificial Intelligence, Signal Processing and Economics and Econometrics. According to data from OpenAlex, James Large has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Economics and Econometrics. Recurrent topics in James Large’s work include Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Complex Systems and Time Series Analysis (4 papers). James Large is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Complex Systems and Time Series Analysis (4 papers). James Large collaborates with scholars based in United Kingdom, United States and France. James Large's co-authors include Anthony Bagnall, Jason Lines, Aaron Bostrom, Eamonn Keogh, Matthew Middlehurst, Michael Flynn, Apostolos Pesyridis, Simon Malinowski and Romain Tavenard and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and Intelligent Data Analysis.

In The Last Decade

Co-authorship network of co-authors of James Large i

Fields of papers citing papers by James Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Large

Since Specialization
Citations

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