Philip Bachman

About

Philip Bachman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Philip Bachman has authored 13 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Philip Bachman’s work include Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Philip Bachman is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Philip Bachman collaborates with scholars based in Canada, United States and United Kingdom. Philip Bachman's co-authors include Doina Precup, Joëlle Pineau, Peter Henderson, David Meger, Riashat Islam, R Devon Hjelm, Ying Liu, Amjad Almahairi, Aaron Courville and Alessandro Sordoni and has published in prestigious journals such as Bioinformatics, arXiv (Cornell University) and PolyPublie (École Polytechnique de Montréal).

In The Last Decade

Co-authorship network of co-authors of Philip Bachman

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Bachman. A scholar is included among the top collaborators of Philip Bachman 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 Philip Bachman. Philip Bachman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Philip Bachman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philip Bachman

Since Specialization

Citations

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