W. Hubbard

About

W. Hubbard is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, W. Hubbard has authored 15 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in W. Hubbard’s work include Neural Networks and Applications (8 papers), Handwritten Text Recognition Techniques (4 papers) and Neural Networks and Reservoir Computing (3 papers). W. Hubbard is often cited by papers focused on Neural Networks and Applications (8 papers), Handwritten Text Recognition Techniques (4 papers) and Neural Networks and Reservoir Computing (3 papers). W. Hubbard collaborates with scholars based in United States, South Korea and Germany. W. Hubbard's co-authors include J. S. Denker, Richard Howard, L. D. Jackel, D. Henderson, Bernhard E. Boser, Yann LeCun, Isabelle Guyon, Y. Le Cun, Hans Peter Graf and Pedro Albrecht and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of W. Hubbard

This figure shows the co-authorship network connecting the top 25 collaborators of W. Hubbard. A scholar is included among the top collaborators of W. Hubbard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Hubbard. W. Hubbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by W. Hubbard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Hubbard. 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 W. Hubbard. The network helps show where W. Hubbard may publish in the future.

Countries citing papers authored by W. Hubbard

Since Specialization

Citations

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