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
Fields of papers citing papers by Cassidy Laidlaw
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Cassidy Laidlaw. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Cassidy Laidlaw may publish in the future.
Countries citing papers authored by Cassidy Laidlaw
Since SpecializationCitations
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).
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