G. Michael Youngblood

About

G. Michael Youngblood is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, G. Michael Youngblood has authored 26 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in G. Michael Youngblood’s work include Artificial Intelligence in Games (9 papers), Robotic Path Planning Algorithms (6 papers) and Human Motion and Animation (5 papers). G. Michael Youngblood is often cited by papers focused on Artificial Intelligence in Games (9 papers), Robotic Path Planning Algorithms (6 papers) and Human Motion and Animation (5 papers). G. Michael Youngblood collaborates with scholars based in United States, Italy and Denmark. G. Michael Youngblood's co-authors include Diane J. Cook, Antonios Liapis, Jichen Zhu, Rafael Bidarra, Sebastian Risi, Lawrence B. Holder, Peter Pirolli, Michael R. Ross, Honglu Du and Aaron Springer and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Human-Computer Interaction and Pervasive and Mobile Computing.

In The Last Decade

Co-authorship network of co-authors of G. Michael Youngblood i

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Fields of papers citing papers by G. Michael Youngblood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Michael Youngblood. 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 G. Michael Youngblood. The network helps show where G. Michael Youngblood may publish in the future.

Countries citing papers authored by G. Michael Youngblood

Since Specialization

Citations

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