Jason K. Johnson

25 papers and 439 indexed citations i.

About

Jason K. Johnson is a scholar working on Artificial Intelligence, Computer Networks and Communications and Clinical Psychology. According to data from OpenAlex, Jason K. Johnson has authored 25 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Clinical Psychology. Recurrent topics in Jason K. Johnson’s work include Bayesian Modeling and Causal Inference (9 papers), Error Correcting Code Techniques (7 papers) and Autism Spectrum Disorder Research (5 papers). Jason K. Johnson is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Error Correcting Code Techniques (7 papers) and Autism Spectrum Disorder Research (5 papers). Jason K. Johnson collaborates with scholars based in United States and United Kingdom. Jason K. Johnson's co-authors include Alan S. Willsky, Dmitry Malioutov, Clark McKown, Nicole M. Russo‐Ponsaran, Venkat Chandrasekaran, Myung Jin Choi, Michael Chertkov, Venkat Chandrasekaran, Louis Fogg and Danny Bickson and has published in prestigious journals such as IEEE Transactions on Image Processing, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Jason K. Johnson i

Fields of papers citing papers by Jason K. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jason K. Johnson

Since Specialization
Citations

This map shows the geographic impact of Jason K. Johnson'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 K. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason K. Johnson 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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2025