Cassidy Laidlaw

About

Cassidy Laidlaw is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Cassidy Laidlaw has authored 3 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Cassidy Laidlaw’s work include Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (1 paper). Cassidy Laidlaw is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (1 paper). Cassidy Laidlaw collaborates with scholars based in United States and Germany. Cassidy Laidlaw's co-authors include Timo Bolkart, Michael J. Black, Anurag Ranjan, Soheil Feizi and Sahil Singla and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Cassidy Laidlaw i

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Fields of papers citing papers by Cassidy Laidlaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cassidy Laidlaw

Since Specialization

Citations

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