D-Index & Metrics

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Social Sciences and Humanities D-index 31 Citations 16,081 77 World Ranking 5466 National Ranking 2687

Overview

What is he best known for?

The fields of study he is best known for:

  • Management
  • Law
  • Social science

His primary scientific interests are in Value, Data science, Contrast, Patent citation and Social network. His Value research integrates issues from Mechanism, Face and Process. His Data science study integrates concerns from other disciplines, such as Framing and Economy.

As part of his studies on Patent citation, he often connects relevant areas like Econometrics. The various areas that Lee Fleming examines in his Creativity study include Generative grammar and Social structure. The study incorporates disciplines such as Competitive advantage and Knowledge transfer in addition to Interdependence.

His most cited work include:

  • Recombinant Uncertainty in Technological Search (1484 citations)
  • Technology as a complex adaptive system: evidence from patent data (797 citations)
  • Science as a map in technological search (778 citations)

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

His primary areas of study are Entrepreneurship, Creativity, Marketing, Economic geography and Industrial organization. The concepts of his Entrepreneurship study are interwoven with issues in Human capital, Public relations, Demographic economics and Venture capital. His studies in Marketing integrate themes in fields like Variance and The Internet.

His Economic geography research is multidisciplinary, incorporating perspectives in Labor mobility, Management and Social network. His research investigates the connection with Social network and areas like Value which intersect with concerns in Interdependence. His Interdependence research includes elements of Patent citation and Process.

He most often published in these fields:

  • Entrepreneurship (18.89%)
  • Creativity (15.56%)
  • Marketing (14.44%)

What were the highlights of his more recent work (between 2017-2021)?

  • Entrepreneurship (18.89%)
  • Demographic economics (4.44%)
  • Human capital (6.67%)

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

His primary areas of investigation include Entrepreneurship, Demographic economics, Human capital, Gene duplication and Industrial organization. Lee Fleming interconnects Regional economics, Foreign born and Educational attainment in the investigation of issues within Entrepreneurship. His studies deal with areas such as Enforcement, Legislature, Per capita and Job creation as well as Demographic economics.

His Human capital research is multidisciplinary, relying on both Cognitive science, Immigration, Census and Creativity. His research integrates issues of Download and Labour economics in his study of Immigration. His Industrial organization study frequently intersects with other fields, such as Information processing.

Between 2017 and 2021, his most popular works were:

  • Government-funded research increasingly fuels innovation (22 citations)
  • Paradise of Novelty—Or Loss of Human Capital? Exploring New Fields and Inventive Output (20 citations)
  • Machine learning and natural language processing on the patent corpus: data, tools, and new measures (12 citations)

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

  • Management
  • Law
  • Social science

Lee Fleming spends much of his time researching Industrial organization, Government, Public administration, Information processing and Market efficiency. Many of his studies on Industrial organization apply to Competition as well. While working in this field, Lee Fleming studies both Information processing and Cognition.

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.

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