What is he best known for?
The fields of study he is best known for:
- Law
- Statistics
- Social science
Kristian Skrede Gleditsch mainly focuses on Democracy, Development economics, Political economy, Democratization and Context.
His Democracy research includes elements of Positive economics, Economic system, Autocorrelation and International relations.
The concepts of his Development economics study are interwoven with issues in Missing data, Bilateral trade, Politics, Sample and Gross domestic product.
His Political economy research includes themes of Ethnic group, State and Spanish Civil War.
Kristian Skrede Gleditsch works on Spanish Civil War which deals in particular with Civil Conflict.
His Democratization research incorporates themes from Sovereignty, Distribution and Polity.
His most cited work include:
- Expanded Trade and GDP Data (1110 citations)
- Refugees and the Spread of Civil War (525 citations)
- Introducing Archigos: A Dataset of Political Leaders (522 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Political economy, Spanish Civil War, Development economics, Politics and Democracy.
His research in Political economy intersects with topics in Nationalism, Opposition, Economic cost, Territorial dispute and Ethnic group.
His work is dedicated to discovering how Spanish Civil War, Government are connected with Public relations and other disciplines.
He has included themes like Empirical evidence, Internal conflict, Dissent, Power and Terrorism in his Development economics study.
His biological study deals with issues like Fractionalization, which deal with fields such as Gini coefficient.
His study focuses on the intersection of Democracy and fields such as International relations with connections in the field of Regional science.
He most often published in these fields:
- Political economy (45.03%)
- Spanish Civil War (36.84%)
- Development economics (26.32%)
What were the highlights of his more recent work (between 2015-2021)?
- Political economy (45.03%)
- Spanish Civil War (36.84%)
- Development economics (26.32%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Political economy, Spanish Civil War, Development economics, Civil Conflict and Criminology.
His Political economy study integrates concerns from other disciplines, such as Structural break, Armed conflict, Economic cost, Territorial dispute and Public opinion.
His study in Spanish Civil War is interdisciplinary in nature, drawing from both Dissent, Jury, Grievance and State.
The Development economics study combines topics in areas such as Government, Empirical evidence, Ethnic group and Decolonization.
The study incorporates disciplines such as Political violence and Democracy, Democratization in addition to Ethnic group.
His studies in Criminology integrate themes in fields like Mobilization, Computer security, Ideology, Politics and Refugee.
Between 2015 and 2021, his most popular works were:
- Twisting Arms and Sending Messages: Terrorist Tactics in Civil War (42 citations)
- Predicting the decline of ethnic civil war: Was Gurr right and for the right reasons? (28 citations)
- The Diffusion of Nonviolent Campaigns (26 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Law
- Social science
The scientist’s investigation covers issues in Spanish Civil War, Development economics, Political economy, Criminology and Terrorism.
His Spanish Civil War research is multidisciplinary, relying on both Social psychology, Grievance, Mobilization, State and Government.
His State study incorporates themes from Refugee and Blame.
His research integrates issues of Civil Conflict, Armed conflict, Territorial dispute, Capitalist peace and Economic system in his study of Political economy.
His Terrorism research is multidisciplinary, incorporating perspectives in Public finance and Democracy.
His Democracy study is concerned with the larger field of Politics.
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.
