What is he best known for?
The fields of study he is best known for:
- Law
- Social science
- Criminology
Criminology, Terrorism, Homicide, Social psychology and Criminal justice are his primary areas of study.
His Criminology study integrates concerns from other disciplines, such as Legitimacy and Ahistoricism.
His work in the fields of Terrorism, such as Radicalization, overlaps with other areas such as Open source data.
His work on Symbolic interactionism as part of general Social psychology research is often related to Sexual assault, Experimental psychology, Experimental research and Situation analysis, thus linking different fields of science.
His Criminal justice research incorporates elements of Welfare, Social constructionism, Politics and Social control.
His study in the field of Political violence also crosses realms of Social institution.
His most cited work include:
- Introducing the Global Terrorism Database (354 citations)
- Losing Legitimacy: Street Crime And The Decline Of Social Institutions In America (211 citations)
- The Situational Analysis of Crime and Deviance (202 citations)
What are the main themes of his work throughout his whole career to date?
Gary LaFree mainly focuses on Terrorism, Criminology, Computer security, Global terrorism and Suicide prevention.
His Terrorism research includes elements of Database, Government, Strengths and weaknesses, Legitimacy and Law enforcement.
His research on Criminology focuses in particular on Criminal justice.
He undertakes interdisciplinary study in the fields of Computer security and Open source data through his research.
Within one scientific family, he focuses on topics pertaining to Human factors and ergonomics under Suicide prevention, and may sometimes address concerns connected to Injury prevention.
His work focuses on many connections between Politics and other disciplines, such as Political economy, that overlap with his field of interest in Democracy.
He most often published in these fields:
- Terrorism (47.40%)
- Criminology (43.51%)
- Computer security (14.29%)
What were the highlights of his more recent work (between 2016-2021)?
- Terrorism (47.40%)
- Criminology (43.51%)
- Politics (11.04%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Terrorism, Criminology, Politics, Political economy and Radicalization.
His Terrorism research incorporates themes from Computer security and Internet privacy.
He carries out multidisciplinary research, doing studies in Criminology and Suicide prevention.
Gary LaFree interconnects Injury prevention and Human factors and ergonomics in the investigation of issues within Suicide prevention.
In the field of Injury prevention, his study on Homicide overlaps with subjects such as Occupational safety and health.
His Political economy research integrates issues from Legitimacy, Global terrorism and Democracy.
Between 2016 and 2021, his most popular works were:
- Quest for significance and violent extremism : the case of domestic radicalization (72 citations)
- CORRELATES OF VIOLENT POLITICAL EXTREMISM IN THE UNITED STATES (39 citations)
- Cut from the Same Cloth? A Comparative Study of Domestic Extremists and Gang Members in the United States (35 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social science
- Criminology
Gary LaFree spends much of his time researching Criminology, Terrorism, Radicalization, Political violence and Ideology.
His Criminology study combines topics from a wide range of disciplines, such as Occupational safety and health and Violent extremism.
His study in Terrorism is interdisciplinary in nature, drawing from both Computer security and Diaspora.
His biological study spans a wide range of topics, including Comparative research and National Longitudinal Surveys.
His Political violence research is multidisciplinary, relying on both Law enforcement, Domestic terrorism and Counter terrorism.
The concepts of his Ideology study are interwoven with issues in Social rejection and Social network.
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.
