Jonathan H. Ashtor

Paul, Weiss, Rifkind, Wharton & Garrison LLP

Counsel

New York, NY 10019

United States

Benjamin N. Cardozo School of Law

United States

SCHOLARLY PAPERS

6

DOWNLOADS
Rank 43,227

SSRN RANKINGS

Top 43,227

in Total Papers Downloads

1,284

SSRN CITATIONS

5

CROSSREF CITATIONS

1

Scholarly Papers (6)

1.

Excessive or Unpredictable? An Empirical Analysis of Patent Infringement Awards

Number of pages: 57 Posted: 22 Feb 2011 Last Revised: 11 Mar 2013
Michael J. Mazzeo, Jonathan H. Ashtor and Samantha Zyontz
Northwestern University - Kellogg School of Management, Paul, Weiss, Rifkind, Wharton & Garrison LLP and Stanford Law School
Downloads 862 (33,757)
Citation 2

Abstract:

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Patent, Reform, Empirical, Data

2.

Predicting the 'Unpredictable': An Empirical Analysis of U.S. Patent Infringement Awards

Number of pages: 30 Posted: 21 Oct 2012
Michael J. Mazzeo, Jonathan H. Ashtor and Samantha Zyontz
Northwestern University - Kellogg School of Management, Paul, Weiss, Rifkind, Wharton & Garrison LLP and Stanford Law School
Downloads 157 (228,237)

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Patent, Reform, Empirical, Data, Predict

3.

Does Patented Information Promote Progress?

Number of pages: 54 Posted: 29 Oct 2016 Last Revised: 26 Jun 2017
Jonathan H. Ashtor
Paul, Weiss, Rifkind, Wharton & Garrison LLP
Downloads 111 (297,317)
Citation 1

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Patents, Citations, Cumulative Innovation, Validity

4.

Opening Pandora's Box: Analyzing the Complexity of U.S. Patent Litigation

18 Yale J.L. & Tech. 217 (2016)
Number of pages: 48 Posted: 24 Feb 2016 Last Revised: 28 Oct 2016
Jonathan H. Ashtor
Paul, Weiss, Rifkind, Wharton & Garrison LLP
Downloads 89 (343,756)

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patent litigation, case complexity, empirical legal study

5.

The Case for Patent Clarity

Number of pages: 42 Posted: 02 Aug 2019 Last Revised: 24 Nov 2019
Jonathan H. Ashtor
Paul, Weiss, Rifkind, Wharton & Garrison LLP
Downloads 65 (410,839)

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patent, clarity, empirical, infringement, litigation, cumulative innovation, machine learning, natural language processing, latent semantic analysis

Investigating Cohort Similarity as an Ex Ante Alternative to Patent Forward Citations

Journal of Empirical Legal Studies, Vol. 16, Issue 4, pp. 848-880, 2019
Number of pages: 33 Posted: 28 May 2020 Last Revised: 29 Oct 2020
Jonathan H. Ashtor
Paul, Weiss, Rifkind, Wharton & Garrison LLP
Downloads 0
Citation 2
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Investigating Cohort Similarity as an Ex Ante Alternative to Patent Forward Citations

Ashtor, J. H. (2019), Investigating Cohort Similarity as an Ex Ante Alternative to Patent Forward Citations. Journal of Empirical Legal Studies, 16: 848-880. doi:10.1111/jels.12237.
Posted: 15 May 2018 Last Revised: 24 Nov 2019
Jonathan H. Ashtor
Paul, Weiss, Rifkind, Wharton & Garrison LLP

Abstract:

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patent, novelty, linguistic, computational, measure, innovation