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How has Matthew O’Shaughnessy's publication output changed over time?
ScholarIQpublication output · 2016–2023
Output grew0% over the shown period — from 2 works in 2016 to 2 in 2023.
2
1
2
1
2
2
201620192020202120222023
What are the most-cited papers on Matthew O’Shaughnessy?
ScholarIQmost cited works
Cingulate dynamics track depression recovery with deep brain stimulation
Sankaraleengam Alagapan, Ki Sueng Choi, Stephen Heisig, Patricio Riva‐Posse, Andrea Crowell, Vineet Tiruvadi, Mosadoluwa Obatusin, Ashan Veerakumar, Allison C. Waters, Robert E. Gross, Sinéad Quinn, Lydia Denison, Matthew O’Shaughnessy, Marissa Connor, Gregory Canal, Jungho Cha, Rachel Hershenberg, Tanya Nauvel, Faiçal Isbaine, Muhammad Furqan Afzal, Martijn Figee, Brian H. Kopell, Robert J. Butera, Helen S. Mayberg, Christopher J. Rozell
Nature. 2023274 CitationsOPEN ACCESS
What governs attitudes toward artificial intelligence adoption and governance?
Matthew O’Shaughnessy, Daniel Schiff, Lav R. Varshney, Christopher J. Rozell, Mark A. Davenport
Science and Public Policy. 2022107 Citations
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals
Matthew O’Shaughnessy, Mark A. Davenport, Christopher J. Rozell
S168680287. 201922 CitationsOPEN ACCESS
Neuroethics guidance documents: principles, analysis, and implementation strategies
Matthew O’Shaughnessy, Walter G. Johnson, Lucille Nalbach Tournas, Christopher J. Rozell, Karen S. Rommelfanger
S2734699278. 202321 CitationsOPEN ACCESS
Generative causal explanations of black-box classifiers
Matthew O’Shaughnessy, Gregory Canal, Marissa Connor, Mark A. Davenport, Christopher J. Rozell
arXiv (Cornell University). 202016 CitationsOPEN ACCESS
Related on ScholarIQ
Georgia Institute of Technology
Institution
Cingulate dynamics track depression recovery with deep brain stimulation
Paper
What governs attitudes toward artificial intelligence adoption and governance?
Paper
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals
Paper
Neuroethics guidance documents: principles, analysis, and implementation strategies
Paper
Generative causal explanations of black-box classifiers
Paper