Christopher L. Magee

Massachusetts Institute of Technology

Massachusetts Institute of Technology

77 Massachusetts Avenue

50 Memorial Drive

Cambridge, MA 02139-4307

United States

SCHOLARLY PAPERS

8

DOWNLOADS

1,136

SSRN CITATIONS

3

CROSSREF CITATIONS

6

Scholarly Papers (8)

1.

Estimating Technology Performance Improvement Rates by Mining Patent Data

Number of pages: 73 Posted: 16 Jun 2017 Last Revised: 16 Jan 2018
Giorgio Triulzi, Jeff Alstott and Christopher L. Magee
Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT) - MIT Media Laboratory and Massachusetts Institute of Technology
Downloads 288 (155,863)
Citation 9

Abstract:

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Technology Performance, Exponential Rates, Patents, Citations, Centrality, Trajectories

2.

The Architecture of Transaction Networks: A Comparative Analysis of Hierarchy in Two Sectors

Industrial and Corporate Change, Forthcoming, Harvard Business School Finance Working Paper No. 11-076
Number of pages: 36 Posted: 01 Feb 2011 Last Revised: 16 Jun 2012
Jianxi Luo, Carliss Y. Baldwin, Daniel Whitney and Christopher L. Magee
Singapore University of Technology and Design (SUTD), Harvard Business School, Massachusetts Institute of Technology (MIT) - Center for Technology, Policy, and Industrial Development (CTPID) and Massachusetts Institute of Technology
Downloads 265 (169,697)
Citation 1

Abstract:

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transactions, networks, vertical integration, hierarchy, industry architecture, innovation

3.

Technology-Based Design and Sustainable Economic Growth

Forthcoming, Technovation
Number of pages: 44 Posted: 03 Nov 2011 Last Revised: 27 Jan 2015
Jianxi Luo, Alison L. Olechowski and Christopher L. Magee
Singapore University of Technology and Design (SUTD), Massachusetts Institute of Technology (MIT) and Massachusetts Institute of Technology
Downloads 194 (227,902)
Citation 1

Abstract:

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technologically-based design, invention, innovation, design capability, expertise, economic growth

4.

Dynamic Patterns of Knowledge Flows across Technological Domains: Empirical Results and Link Prediction

Number of pages: 50 Posted: 22 Jun 2017
Jieun Kim and Christopher L. Magee
Massachusetts Institute of Technology (MIT) and Massachusetts Institute of Technology
Downloads 154 (277,211)
Citation 2

Abstract:

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Technological Domain; Technology Network; Technological Change; Patent Analysis; Link Prediction

5.

Technological Improvement Rate Estimates for All Technologies: Use of Patent Data and an Extended Domain Description

Singh, Anuraag, Giorgio Triulzi, and Christopher L. Magee. 2021. “Technological Improvement Rate Predictions for All Technologies: Use of Patent Data and an Extended Domain Description.” Research Policy 50 (9): 104294. https://doi.org/10.1016/j.respol.2021.104294.
Number of pages: 50 Posted: 30 Apr 2020 Last Revised: 28 Mar 2022
Anuraag Singh, Giorgio Triulzi and Christopher L. Magee
Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT) and Massachusetts Institute of Technology
Downloads 146 (291,128)
Citation 3

Abstract:

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Technology performance improvement, Technology improvement rates, Moore's Law, differences in improvement rates among technologies, decomposed technological change, patent citation network

6.

Detecting Evolving Patterns of Self-Organizing Networks by Flow Hierarchy Measurement

Complexity - Wiley Online Library, 2011
Number of pages: 9 Posted: 06 Jun 2011 Last Revised: 08 Apr 2012
Jianxi Luo and Christopher L. Magee
Singapore University of Technology and Design (SUTD) and Massachusetts Institute of Technology
Downloads 42 (591,605)

Abstract:

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self-organizing networks, evolution pattern, flow hierarchy

7.

Quantitative Identification of Technological Discontinuities

Number of pages: 30 Posted: 20 Jun 2018
Hyunseok Park and Christopher L. Magee
Hanyang University and Massachusetts Institute of Technology
Downloads 29 (670,181)
Citation 1

Abstract:

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knowledge discontinuity, quantitative simulation, knowledge networks, patent citation networks

8.

Data-Driven Investment Decision-Making: Applying Moore's Law and S-Curves to Business Strategies

Number of pages: 32 Posted: 29 May 2018
Christopher Benson and Christopher L. Magee
Massachusetts Institute of Technology (MIT) and Massachusetts Institute of Technology
Downloads 18 (756,914)
Citation 1

Abstract:

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Moore’s Law, S-Curves, Technological Change, Investment, Competitive Positioning