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Daniel N. Rockmore

Daniel N. Rockmore

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5083
World Ranking
8434
National Ranking
2336

Overview

Daniel N. Rockmore is affiliated with Dartmouth College in the United States. Their body of work spans multiple disciplines within social sciences, with a specific focus on law, artificial intelligence, sociology and political science, and general health professions.

The main fields of study for Rockmore include:

  • Social Sciences

The subfields of their research cover:

  • Law
  • General Health Professions
  • Artificial Intelligence
  • Sociology and Political Science
  • Political Science and International Relations

Rockmore's research topics reflect a concentration on judicial and constitutional studies, healthcare systems, legal and artificial intelligence intersections, and the interpretation of legal language. They have contributed significantly to topics such as:

  • Judicial and Constitutional Studies
  • Healthcare Systems and Technology
  • Artificial Intelligence in Law
  • Topic Modeling
  • Patient Satisfaction in Healthcare
  • Comparative and International Law Studies
  • Legal Language and Interpretation

Their recent publications include the following papers:

  • Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models (2023), published in SSRN Electronic Journal
  • The Problem of Data Bias in the Pool of Published U.S. Appellate Court Opinions (2020), published in Journal of Empirical Legal Studies
  • Modeling law search as prediction (2020), published in Artificial Intelligence and Law
  • Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis (2022), published in International Journal of Research in Marketing
  • LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models (2023), published in arXiv (Cornell University)

The frequent publication venues for Rockmore's work include:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Artificial Intelligence and Law
  • Journal of Empirical Legal Studies

Rockmore has collaborated extensively with other researchers. Their common coauthors are:

  • Michael A. Livermore
  • Keith Carlson
  • A. James O'Malley
  • Allen Riddell
  • Erika L. Moen

Best Publications

  • FFTs for the 2-Sphere-Improvements and Variations

    Dennis M. Healy;Daniel N. Rockmore;Sean S. B. Moore

  • Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias

    Chen Fang;Ye Xu;Daniel N. Rockmore

  • FFTs on the Rotation Group

    Peter J. Kostelec;Daniel N. Rockmore

  • A digital technique for art authentication

    Siwei Lyu;Daniel N. Rockmore;Hany Farid

  • Overlapping portfolios, contagion, and financial stability

    Fabio Caccioli;J. Doyne Farmer;J. Doyne Farmer;Nick Foti;Daniel Rockmore;Daniel Rockmore

  • Generalized FFTS - A Survey of Some Recent Results

    David K. Maslen;Daniel N. Rockmore

  • The Functional Magnetic Resonance Imaging Data Center (fMRIDC): the challenges and rewards of large-scale databasing of neuroimaging studies.

    John D. Van Horn;Jeffrey S. Grethe;Peter Kostelec;Jeffrey B. Woodward

  • 'We the Peoples': The Global Origins of Constitutional Preambles

    Tom Ginsburg;Nick J. Foti;Daniel Rockmore

  • Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder

    James M. Hughes;Daniel J. Graham;Daniel N. Rockmore;Daniel N. Rockmore

  • Fast Discrete Polynomial Transforms with Applications to Data Analysis for Distance Transitive Graphs

    J. R. Driscoll;D. M. Healy;D. N. Rockmore

  • The FFT: an algorithm the whole family can use

    D.N. Rockmore

  • Nonparametric sparsification of complex multiscale networks.

    Nicholas J. Foti;James M. Hughes;Daniel N. Rockmore;Daniel N. Rockmore

  • Sharing neuroimaging studies of human cognition.

    John Darrell Van Horn;Scott T Grafton;Daniel Rockmore;Michael S Gazzaniga

  • Efficient computation of the Fourier transform on finite groups

    Persi Diaconis;Daniel Rockmore

  • Generic quantum Fourier transforms

    Cristopher Moore;Daniel Rockmore;Alexander Russell

  • The power of basis selection in fourier sampling: hidden subgroup problems in affine groups

    Cristopher Moore;Daniel Rockmore;Alexander Russell;Leonard J. Schulman

  • Cyclic Renormalization and Automorphism Groups of Rooted Trees

    Hyman Bass;Maria Victoria Otero-Espinar;Daniel Rockmore;Charles Tresser

  • Separation of variables and the computation of Fourier transforms of finite groups, I

    David Maslen;David Maslen;Daniel Rockmore

  • A wreath product group approach to signal and image processing .I. Multiresolution analysis

    R. Foote;G. Mirchandani;D.N. Rockmore;D. Healy

  • Mapping the similarity space of paintings: Image statistics and visual perception

    Daniel J. Graham;Jay D. Friedenberg;Daniel N. Rockmore;David J. Field

  • Stability of the World Trade Web over time – An extinction analysis

    Nicholas J. Foti;Scott Pauls;Daniel N. Rockmore;Daniel N. Rockmore

  • A wreath product group approach to signal and image processing .II. Convolution, correlation, and applications

    G. Mirchandani;R. Foote;D.N. Rockmore;D. Healy

  • Some Applications of Generalized FFTs

    Daniel N Rockmore

Frequent Co-Authors

John Lafferty
John Lafferty Yale University
J. Doyne Farmer
J. Doyne Farmer University of Oxford
Cristopher Moore
Cristopher Moore Santa Fe Institute
Alexander Russell
Alexander Russell University of Connecticut
Gregory S. Chirikjian
Gregory S. Chirikjian University of Delaware
Yang Wang
Yang Wang Hong Kong University of Science and Technology
Tom Ginsburg
Tom Ginsburg University of Chicago
Michael S. Gazzaniga
Michael S. Gazzaniga University of California, Santa Barbara
John D. Van Horn
John D. Van Horn University of Virginia
Peter F. Stadler
Peter F. Stadler Leipzig University

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