D-Index & Metrics Best Publications
Uwe Cantner

Uwe Cantner

Friedrich Schiller University Jena
Germany

Overview

What is he best known for?

The fields of study he is best known for:

  • Capitalism
  • Management
  • Microeconomics

His primary scientific interests are in German, Theory of planned behavior, Social psychology, Knowledge management and Perception. German is connected with Survey data collection, Public economics, Initial capital, Microeconomics and Resource in his study. His studies deal with areas such as Identity, Construct, Industrial and organizational psychology and Personality as well as Theory of planned behavior.

Uwe Cantner regularly links together related areas like Business idea in his Social psychology studies. His Process innovation study in the realm of Knowledge management interacts with subjects such as Matching, Period and Cooperative behavior. He works mostly in the field of Perception, limiting it down to topics relating to Entrepreneurial culture and, in certain cases, Marketing.

His most cited work include:

  • The network of innovators in Jena: An application of social network analysis (293 citations)
  • Scientists' transition to academic entrepreneurship: Economic and psychological determinants (156 citations)
  • Scientists' transition to academic entrepreneurship: Economic and psychological determinants (156 citations)

What are the main themes of his work throughout his whole career to date?

Uwe Cantner focuses on German, Industrial organization, Knowledge management, Competition and Microeconomics. Uwe Cantner integrates many fields, such as German and engineering, in his works. His Survey data collection investigation overlaps with other areas such as Perception, Theory of planned behavior and Social psychology.

Uwe Cantner has researched Industrial organization in several fields, including Technological change, Marketing and Process. His research in Competition intersects with topics in Evolutionary economics and Imitation. Borrowing concepts from Replicator equation, Uwe Cantner weaves in ideas under Microeconomics.

He most often published in these fields:

  • German (28.92%)
  • Industrial organization (25.00%)
  • Knowledge management (14.46%)

What were the highlights of his more recent work (between 2016-2021)?

  • Industrial organization (25.00%)
  • German (28.92%)
  • Technological change (8.13%)

In recent papers he was focusing on the following fields of study:

Uwe Cantner mainly focuses on Industrial organization, German, Technological change, Empirical research and Social psychology. As part of the same scientific family, he usually focuses on Industrial organization, concentrating on Outsourcing and intersecting with Manufacturing firms. German combines with fields such as Economic geography, Empirical measure, Mode, Set and Cluster in his investigation.

Uwe Cantner combines subjects such as Total factor productivity and Slowdown with his study of Technological change. The Empirical research study combines topics in areas such as Control and Public relations. His research investigates the connection with Social psychology and areas like Scale which intersect with concerns in Econometrics and Identity.

Between 2016 and 2021, his most popular works were:

  • EFI – Expertenkommission Forschung und Innovation: Gutachten zu Forschung, Innovation und technologischer Leistungsfähigkeit Deutschlands 2018 (47 citations)
  • Entrepreneurial ecosystems: a dynamic lifecycle model (17 citations)
  • Cluster policy: insights from the German leading edge cluster competition (13 citations)

In his most recent research, the most cited papers focused on:

  • Capitalism
  • Management
  • Macroeconomics

His primary areas of study are German, Industrial organization, Social psychology, Commercial law and Cluster. His study in German intersects with areas of studies such as Focus, Public funding, Economic policy, Regional development and Subsidy. His Industrial organization study frequently draws connections between adjacent fields such as Process.

His Social psychology study frequently links to related topics such as Skills management. You can notice a mix of various disciplines of study, such as Marketing, Set, Variety, Data science and Bildung, in his Cluster studies. His work on Social network analysis expands to the thematically related Marketing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The network of innovators in Jena: An application of social network analysis

Uwe Cantner;Holger Graf.
Research Policy (2006)

555 Citations

Scientists' transition to academic entrepreneurship: Economic and psychological determinants

Maximilian Goethner;Martin Obschonka;Rainer K. Silbereisen;Uwe Cantner;Uwe Cantner.
(2012)

358 Citations

CLASSIFYING TECHNOLOGY POLICY FROM AN EVOLUTIONARY PERSPECTIVE

Uwe Cantner;Andreas Pyka.
Research Policy (2001)

201 Citations

Social identity and the transition to entrepreneurship: The role of group identification with workplace peers

Martin Obschonka;Maximilian Goethner;Rainer K. Silbereisen;Uwe Cantner;Uwe Cantner.
(2012)

197 Citations

Regional characteristics, opportunity perception and entrepreneurial activities

Michael Stuetzer;Martin Obschonka;Udo Brixy;Rolf Sternberg.
Small Business Economics (2014)

184 Citations

Innovator networks and regional knowledge base

Uwe Cantner;Andreas Meder;Anne L.J. ter Wal.
Technovation (2010)

162 Citations

Technological proximity and the choice of cooperation partner

Uwe Cantner;Andreas Meder.
Journal of Economic Interaction and Coordination (2007)

149 Citations

Produktivitäts- und Effizienzanalyse : der nichtparametrische Ansatz

Uwe Cantner;Jens Krüger;Horst Hanusch.
(2007)

129 Citations

Picking the winner? Empirical evidence on the targeting of R&D subsidies to start-ups

Uwe Cantner;Uwe Cantner;Sarah Kösters.
Small Business Economics (2012)

123 Citations

The use of knowledge management by German innovators

Uwe Cantner;Kristin Joel;Tobias Schmidt.
Journal of Knowledge Management (2009)

121 Citations

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