Michael Lam

About

Michael Lam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Paleontology. According to data from OpenAlex, Michael Lam has authored 4 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Paleontology. Recurrent topics in Michael Lam’s work include Advanced Neural Network Applications (1 paper), Coral and Marine Ecosystems Studies (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Michael Lam is often cited by papers focused on Advanced Neural Network Applications (1 paper), Coral and Marine Ecosystems Studies (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Michael Lam collaborates with scholars based in United States, Italy and Germany. Michael Lam's co-authors include Alessandro Achille, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Avinash Ravichandran, Pietro Perona, R. S. TEWARI, Jacob Furst, Daniela Raicu and David Mazursky and has published in prestigious journals such as Journal of Cognitive Psychology, CiteSeer X (The Pennsylvania State University) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Michael Lam i

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Fields of papers citing papers by Michael Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Lam

Since Specialization

Citations

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