Alex Lamb

18 papers and 772 indexed citations i.

About

Alex Lamb is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Alex Lamb has authored 18 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Alex Lamb’s work include Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Alex Lamb is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Alex Lamb collaborates with scholars based in Canada, United States and Finland. Alex Lamb's co-authors include Yoshua Bengio, Vikas Verma, David López-Paz, Juho Kannala, Kenji Kawaguchi, Arno Solin, Aaron Courville, Christopher Beckham, Ying Zhang and Saizheng Zhang and has published in prestigious journals such as Journal of Theoretical Biology, Neural Networks and SN Computer Science.

In The Last Decade

Co-authorship network of co-authors of Alex Lamb i

Fields of papers citing papers by Alex Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alex Lamb

Since Specialization
Citations

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