Ian Fischer

About

Ian Fischer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ian Fischer has authored 14 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Ian Fischer’s work include Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Algorithms (3 papers). Ian Fischer is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Algorithms (3 papers). Ian Fischer collaborates with scholars based in United States, United Kingdom and Germany. Ian Fischer's co-authors include Shumeet Baluja, Alexander A. Alemi, Kevin Murphy, Joshua V. Dillon, Craig Gotsman, Danijar Hafner, Timothy Lillicrap, Ruben Villegas, Honglak Lee and James Davidson and has published in prestigious journals such as Computer, Entropy and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ian Fischer i

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Fields of papers citing papers by Ian Fischer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ian Fischer

Since Specialization

Citations

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