Daniel P. Ritter

12 papers receiving 209 citations

Daniel P. Ritter's Hit Papers

Learning from prepandemic data to forecast viral escape 2023 · 98 citations
980+1+2Years since publication255075

Peers

Daniel P. Ritter
Comparison fields: 5 of 64
  • Health Informatics 5
  • General Economics, Econometrics and Finance 22
  • Infectious Diseases 43
  • Development 9
  • Modeling and Simulation 10
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Countries citing papers authored by Daniel P. Ritter

Since Specialization
Citations

This map shows the geographic impact of Daniel P. Ritter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel P. Ritter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Ritter more than expected).

Fields of papers citing papers by Daniel P. Ritter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Ritter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel P. Ritter. The network helps show where Daniel P. Ritter may publish in the future.

Co-authors

The 22 scholars most cited alongside Daniel P. Ritter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel P. Ritter Line = papers co-authored together Daniel P. Ritter links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Learning from prepandemic data to forecast viral escape
Hit paper breakdown →
202398
2 201451
3 197726
4 202213
5 201710
6 20219
7 20197
8 20243
9
Conflict Resolution, Provocation or Transformation? Ask Gandhi
20112
10
Revolutions and Social Movements
20191
11
On the Role of Strategy in Nonviolent Revolutionary Social Change: The Case of Iran, 1977-1979
20111
12
Why the Iranian Revolution was nonviolent : internationalized social change and the iron cage of liberalism
20101
13
Nationalism and Transitions: Mobilizing for democracy in Yugoslavia
20121
14 20250
15
Civil Society and the Velvet Revolution: Mobilizing for democracy in Czechoslovakia
20120

About Daniel P. Ritter

Daniel P. Ritter is a scholar working on Sociology and Political Science, Political Science and International Relations, Infectious Diseases, Computer Networks and Communications and Molecular Biology, having authored 15 papers that have together received 223 indexed citations. Recurring topics across this work include Globalization and Economic Impact (1 paper), Advanced Database Systems and Queries (1 paper), Balkans: History, Politics, Society (1 paper), Turkey's Politics and Society (1 paper), Religion and Society Interactions (1 paper), Economic Development and Digital Transformation (1 paper), Historical and Contemporary Political Dynamics (1 paper) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Health Informatics (5 citations), General Economics, Econometrics and Finance (22 citations), Infectious Diseases (43 citations), Development (9 citations) and Modeling and Simulation (10 citations). Daniel P. Ritter has collaborated with scholars based in United States, Sweden and Hong Kong. Frequent co-authors include Debora S. Marks, Nicole N. Thadani, Pascal Notin, Yarin Gal, Chris Sander, George Jacobson, Colin J. Beck, George Lawson, Mlada Bukovansky and Sharon Erickson Nepstad. Their work appears in journals such as Journal of Clinical Psychology, Nature, Cell Reports Medicine, Journal of Historical Sociology and Proceedings of the VLDB Endowment.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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