Mapping Technological Trajectories as Patent citation Networks: a Study on the History of Fuel Cell Research

By Bart Verspagen. Advances in Complex Systems, 2007

400 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/352f2c32d20013fe3e06d1e2c9892a7f3db503bf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management of Technology and Innovation

1. Russell J. Funk
2. Ludo Waltman
3. Nees Jan van Eck
4. Pierre-Alexandre Balland
5. Jason Owen-Smith
6. John S. Liu
7. An Zeng
8. Jianlin Zhou

In Management Science and Operations Research

1. Pierre-Alexandre Balland
2. David L. Rigby
3. Jason Owen-Smith
4. John S. Liu
5. An Zeng
6. Jianlin Zhou
7. Ludo Waltman
8. Jinshan Wu

In Strategy and Management

1. Russell J. Funk
2. Jason Owen-Smith
3. John S. Liu
4. An Zeng
5. Jianlin Zhou
6. Ludo Waltman
7. Jinshan Wu
8. Yougui Wang

Citations in the corpus

• Patents as a measure for eco-innovation (2008, neutral): “Source: Verspagen (2005) The analysis shows that in the pre-1980 period there are many different paths, several of which become dead ends.”
• An integrated approach for main path analysis: Development of the Hirsch index as an example (2012, methodology): “Verspagen (2007) traced the development trajectories of fuel cell technology using patent citation data.”
• The Geography of Complex Knowledge (2017, background): “Verspagen (2007) also uses patents and citation data related to fuel cells to uncover critical branching points in knowledge development that steer subsequent trajectories of technological development.”
• Data envelopment analysis 1978-2010: A citation-based literature survey (2013, methodology): “This is the main path that follows the tradition of Hummon and Doreian [17] and Verspagen [21].”
• The science of science: from the perspective of complex systems (2017, methodology): “Verspagen [421] extended the method used in Ref.”
• CitNetExplorer: A new software tool for analyzing and visualizing citation networks (2014, methodology): “For examples of analyses of patent citation networks for which a tool such as CitNetExplorer could be useful, we refer to Barberá-Tomás, Jiménez-Sáez, and Castelló-Molina (2011), Mina, Ramlogan, Tampubolon, and Metcalfe (2007), and Verspagen (2007).”
• Patent citation data in social science research: Overview and best practices (2017, neutral): “Mina, Ramlogan, Tampubolon, and Metcalfe (2007), Verspagen (2007), and Fontana, Nuvolari, and Verspagen (2009) applied the method to patent citation networks.”
• A survey of DEA applications (2013, methodology): “The method has been applied to several science and technology disciplines to uncover their development trajectories, or from a different perspective, knowledge flow paths [6,12,13].”
• A Dynamic Network Measure of Technological Change (2017, background): “In short, impact measures are good for evaluating the extent to which new inventions are used, but they are limited because they offer no insight into how they are used and what those uses do to shape future trajectories, a central objective of evolutionary theories of change (Arthur 2007, 2009; Dos”
• Institutional complementarity and inventive performance in nano science and technology (2007, background): “More recently, techniques for tracing back networks of patent citations have been developed (Popp 2005; Verspagen 2005).”