Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Learning from prepandemic data to forecast viral escape
202385 citationsNicole N. Thadani, Pascal Notin et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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
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-authorship network of co-authors of Daniel P. Ritter
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Ritter.
A scholar is included among the top collaborators of Daniel P. Ritter based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Daniel P. Ritter. Daniel P. Ritter is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Thadani, Nicole N., Pascal Notin, Daniel P. Ritter, et al.. (2023). Learning from prepandemic data to forecast viral escape. Nature. 622(7984). 818–825.85 indexed citations breakdown →
4.
Beck, Colin J., Mlada Bukovansky, Erica Chenoweth, et al.. (2022). On Revolutions. Oxford University Press eBooks.13 indexed citations
Ritter, Daniel P.. (2012). Civil Society and the Velvet Revolution: Mobilizing for democracy in Czechoslovakia. Cadmus - EUI Research Repository (European University Institute).
11.
Ritter, Daniel P.. (2012). Nationalism and Transitions: Mobilizing for democracy in Yugoslavia. Cadmus - EUI Research Repository (European University Institute).1 indexed citations
12.
Kurtz, Lester R. & Daniel P. Ritter. (2011). Conflict Resolution, Provocation or Transformation? Ask Gandhi.2 indexed citations
13.
Ritter, Daniel P.. (2011). On the Role of Strategy in Nonviolent Revolutionary Social Change: The Case of Iran, 1977-1979. Cadmus - EUI Research Repository (European University Institute).1 indexed citations
14.
Ritter, Daniel P.. (2010). Why the Iranian Revolution was nonviolent : internationalized social change and the iron cage of liberalism. Texas ScholarWorks (Texas Digital Library).1 indexed citations
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.