Jack Cooper

About

Jack Cooper is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Oral Surgery. According to data from OpenAlex, Jack Cooper has authored 2 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Electrical and Electronic Engineering, 1 paper in Artificial Intelligence and 1 paper in Oral Surgery. Recurrent topics in Jack Cooper’s work include Machine Learning and Algorithms (1 paper), Dental Radiography and Imaging (1 paper) and Algorithms and Data Compression (1 paper). Jack Cooper is often cited by papers focused on Machine Learning and Algorithms (1 paper), Dental Radiography and Imaging (1 paper) and Algorithms and Data Compression (1 paper). Jack Cooper collaborates with scholars based in United Kingdom and Canada. Jack Cooper's co-authors include Selim G. Akl and E. Boyd and has published in prestigious journals such as Information Processing Letters and Journal of Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Jack Cooper i

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Fields of papers citing papers by Jack Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jack Cooper

Since Specialization

Citations

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