Joshua V. Dillon

About

Joshua V. Dillon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Joshua V. Dillon has authored 10 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Joshua V. Dillon’s work include Anomaly Detection Techniques and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Joshua V. Dillon is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Joshua V. Dillon collaborates with scholars based in United States, United Kingdom and Canada. Joshua V. Dillon's co-authors include Kevin Murphy, Alexander A. Alemi, Ian Fischer, Guy Lebanon, Yi Mao, Rif A. Saurous, Ben Poole, Jie Ren, Balaji Lakshminarayanan and Emily Fertig and has published in prestigious journals such as Journal of Machine Learning Research, IEEE Transactions on Visualization and Computer Graphics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Joshua V. Dillon i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Joshua V. Dillon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua V. Dillon. 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 Joshua V. Dillon. The network helps show where Joshua V. Dillon may publish in the future.

Countries citing papers authored by Joshua V. Dillon

Since Specialization

Citations

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

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Davis M. Welakuh Breakdown of academic impact, for papers by Qijuan Fang Breakdown of academic impact, for papers by Jacques Irani Breakdown of academic impact, for papers by Kexin Tan Breakdown of academic impact, for papers by Carolin Heim Breakdown of academic impact, for papers by Avantika Golas Breakdown of academic impact, for papers by Israel Mitiku Breakdown of academic impact, for papers by R. A. Shakir