David Jaz Myers

About

David Jaz Myers is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Jaz Myers has authored 18 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Jaz Myers’s work include Neural Networks and Applications (4 papers), Homotopy and Cohomology in Algebraic Topology (3 papers) and Complex Network Analysis Techniques (2 papers). David Jaz Myers is often cited by papers focused on Neural Networks and Applications (4 papers), Homotopy and Cohomology in Algebraic Topology (3 papers) and Complex Network Analysis Techniques (2 papers). David Jaz Myers collaborates with scholars based in United States, United Kingdom and Australia. David Jaz Myers's co-authors include Rebecca Hutchinson, Shensheng Tang, Henry Dietz, R. Linggard, Andrei L. Osterman, Margaret A. Phillips, Bertram Canagarajah, P.A. Ivey, Robert J. Levy and Rajan Batta and has published in prestigious journals such as Biochemistry, Communications in Mathematical Physics and Journal of Biomedical Materials Research.

In The Last Decade

Co-authorship network of co-authors of David Jaz Myers i

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Fields of papers citing papers by David Jaz Myers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Jaz Myers. 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 David Jaz Myers. The network helps show where David Jaz Myers may publish in the future.

Countries citing papers authored by David Jaz Myers

Since Specialization

Citations

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