scispace - formally typeset
D

Daniel Martin Katz

Researcher at Chicago-Kent College of Law

Publications -  84
Citations -  1663

Daniel Martin Katz is an academic researcher from Chicago-Kent College of Law. The author has contributed to research in topics: Supreme court & Computer science. The author has an hindex of 20, co-authored 77 publications receiving 1215 citations. Previous affiliations of Daniel Martin Katz include Stanford University & Georgia State University.

Papers
More filters
Journal ArticleDOI

Distance measures for dynamic citation networks

TL;DR: This article develops and applies the sink distance measure together with the single-linkage hierarchical clustering algorithm to both a two-dimensional directed preferential attachment model as well as empirical data drawn from the first quarter-century of decisions of the United States Supreme Court.
Posted Content

Hustle and Flow: A Social Network Analysis of the American Federal Judiciary

TL;DR: In this paper, the authors present a series of network-based visualizations of the path of peer effects in the federal judiciary, showing that the distribution of "degrees" is highly skewed implying the social structure is dictated by a small number of socially prominent actors.
Journal ArticleDOI

Learning through simulated independent practice leads to better future performance in a simulated crisis than learning through simulated supervised practice

TL;DR: Allowing residents to practise independently in the simulation laboratory, and subsequently, allowing them to fail, can be an important part of simulation-based learning.
Journal ArticleDOI

Law as a Seamless Web? Comparison of Various Network Representations of the United States Supreme Court Corpus (1791-2005)

TL;DR: Several network representations of the corpus of United States Supreme Court decisions (1791--2005) are compared to see if they offer potential insight into the time developing structure of the "web of the law."
Posted Content

Reproduction of Hierarchy? A Social Network Analysis of the American Law Professoriate

TL;DR: In this paper, the authors explore the topology of the legal academy including the relative distribution of authority among its institutions and provide a computational model for diffusion on the network, providing a parsimonious display of the trade off between "idea infectiousness" and structural position.