David J. Marchette

65 papers and 995 indexed citations i.

About

David J. Marchette is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, David J. Marchette has authored 65 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in David J. Marchette’s work include Bayesian Methods and Mixture Models (11 papers), Neural Networks and Applications (11 papers) and Anomaly Detection Techniques and Applications (9 papers). David J. Marchette is often cited by papers focused on Bayesian Methods and Mixture Models (11 papers), Neural Networks and Applications (11 papers) and Anomaly Detection Techniques and Applications (9 papers). David J. Marchette collaborates with scholars based in United States and Türkiye. David J. Marchette's co-authors include Carey E. Priebe, John C. Wierman, Youngser Park, John M. Conroy, Edward J. Wegman, Lancelot F. James, Jeffrey L. Solka, Diego A. Socolinsky, Michael C. Minnotte and George W. Rogers and has published in prestigious journals such as Technometrics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of David J. Marchette i

Fields of papers citing papers by David J. Marchette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David J. Marchette

Since Specialization
Citations

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