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
Law D-index 21 Citations 2,794 64 World Ranking 373 National Ranking 51

Overview

What is she best known for?

The fields of study she is best known for:

  • Law
  • Human rights
  • Criminal justice

Her scientific interests lie mostly in Criminal justice, Law, Criminology, Crime control and Law and economics. Her work in Criminal justice addresses issues such as Crime prevention, which are connected to fields such as Cultural criminology and Harm. In most of her Law studies, her work intersects topics such as Late modernity.

Her work on Criminal law as part of general Criminology research is frequently linked to Commodity and Monopoly, bridging the gap between disciplines. Her Crime control study integrates concerns from other disciplines, such as Commerce, Security management and Information security. Her study in Law and economics is interdisciplinary in nature, drawing from both Punishment, Champion and Economic Justice.

Her most cited work include:

  • Pre-crime and post-criminology?: (290 citations)
  • Too much security (127 citations)
  • Policing before and after the police - The historical antecedents of contemporary crime control (113 citations)

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

Her main research concerns Criminology, Law, Criminal justice, Criminal law and Theory of criminal justice. Her Criminology research integrates issues from Terrorism and Counter terrorism. Her work carried out in the field of Criminal justice brings together such families of science as Punishment, Crime prevention and Law and economics.

Her research investigates the connection with Criminal law and areas like Criminal procedure which intersect with concerns in Nolle prosequi, Public law, Comparative law and Civil law. Her studies in Theory of criminal justice integrate themes in fields like Realm, Retributive justice and Appeal. The study incorporates disciplines such as Economic security and Security management in addition to Crime control.

She most often published in these fields:

  • Criminology (55.00%)
  • Law (45.00%)
  • Criminal justice (45.00%)

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

  • Terrorism (13.33%)
  • Criminalization (18.33%)
  • Criminology (55.00%)

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

Lucia Zedner mainly focuses on Terrorism, Criminalization, Criminology, Radicalization and Law and economics. Her research in Terrorism intersects with topics in Legislation, Immigration, Immigration law and Principle of legality. Her Criminalization study frequently draws connections between adjacent fields such as Jurisprudence.

Her Criminology study combines topics from a wide range of disciplines, such as Right wing extremism and Right wing. Her Radicalization research is multidisciplinary, incorporating elements of Rule of law and Human rights. Lucia Zedner combines subjects such as Coercion, Civil liberties, Criminal justice, Economic Justice and Punishment with her study of Law and economics.

Between 2016 and 2021, her most popular works were:

  • Curtailing Citizenship Rights as Counterterrorism (3 citations)
  • The hostile border: Crimmigration, counter-terrorism, or crossing the line on rights? (3 citations)
  • Some Dilemmas of Indeterminate Sentences: Risk and Uncertainty, Dignity and Hope (3 citations)

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

  • Law
  • Human rights
  • Politics

Citizenship, Public administration, Dignity, Environmental ethics and Indeterminate are her primary areas of study.

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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