H-Index & Metrics

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Law and Political Science D-index 33 Citations 7,724 70 World Ranking 306 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Politics
  • Capitalism

Corporate governance, Economic system, Public administration, Politics and Regulatory capitalism are his primary areas of study. In his study, Scope is inextricably linked to Public policy, which falls within the broad field of Corporate governance. His work carried out in the field of Economic system brings together such families of science as Latin Americans, Liberalization and Liberalism.

His work focuses on many connections between Public administration and other disciplines, such as Single market, that overlap with his field of interest in Institutionalisation. In his research on the topic of Regulatory capitalism, Industrial organization, Diffusion process and Diffusion is strongly related with Restructuring. His State research is multidisciplinary, relying on both Division of labour, Delegation and Capitalism.

His most cited work include:

  • The Global Diffusion of Regulatory Capitalism (653 citations)
  • The politics of regulation : institutions and regulatory reforms for the age of governance (202 citations)
  • The Diffusion of Regulatory Capitalism in Latin America: Sectoral and National Channels in the Making of a New Order (194 citations)

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

David Levi-Faur mostly deals with Corporate governance, Public administration, Politics, Political economy and Regulatory capitalism. David Levi-Faur is interested in Regulatory state, which is a field of Corporate governance. His Public administration study incorporates themes from Government, Multi-level governance, Public policy and Polity.

The Political economy study which covers International political economy that intersects with Mercantilism. His Regulatory capitalism research incorporates elements of Positive economics, Economic system, Capitalism and Making-of. As a member of one scientific family, David Levi-Faur mostly works in the field of Economic system, focusing on Liberalization and, on occasion, Competition.

He most often published in these fields:

  • Corporate governance (35.71%)
  • Public administration (21.43%)
  • Politics (20.41%)

What were the highlights of his more recent work (between 2017-2020)?

  • Corporate governance (35.71%)
  • Political economy (17.35%)
  • Welfare state (5.10%)

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

David Levi-Faur spends much of his time researching Corporate governance, Political economy, Welfare state, Democracy and Empowerment. His Corporate governance research integrates issues from Government, Public administration, Politics and Financial system. His work blends Political economy and Perspective studies together.

His study in Welfare state is interdisciplinary in nature, drawing from both Social rights, Social Welfare, Public economics and Welfare. His work deals with themes such as Regulatory state, Argument, Dichotomy and Law and economics, which intersect with Social rights. His biological study spans a wide range of topics, including Repossession, Eviction and Public policy.

Between 2017 and 2020, his most popular works were:

  • Modes of regulatory governance: A political economy perspective (8 citations)
  • The Expansion of Regulation in Welfare Governance (6 citations)
  • Change and Continuity in the Israeli Political Economy: Multi-Level Analysis of the Telecommunications and Energy Sectors (3 citations)

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

  • Law
  • Capitalism
  • Politics

David Levi-Faur mainly focuses on Corporate governance, Perspective, Political economy, Multi level analysis and Economic system. David Levi-Faur carries out multidisciplinary research, doing studies in Corporate governance and Social benefits. David Levi-Faur merges many fields, such as Multi level analysis and Energy, in his writings.

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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