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.
Hyperbolic geometry of complex networks
2010544 citationsDmitri Krioukov, Fragkiskos Papadopoulos et al.Physical Review Eprofile →
Popularity versus similarity in growing networks
2012375 citationsFragkiskos Papadopoulos, Maksim Kitsak et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Dmitri Krioukov
Since
Specialization
Citations
This map shows the geographic impact of Dmitri Krioukov'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 Dmitri Krioukov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitri Krioukov more than expected).
This network shows the impact of papers produced by Dmitri Krioukov. 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 Dmitri Krioukov. The network helps show where Dmitri Krioukov may publish in the future.
Co-authorship network of co-authors of Dmitri Krioukov
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri Krioukov.
A scholar is included among the top collaborators of Dmitri Krioukov 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 Dmitri Krioukov. Dmitri Krioukov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Krioukov, Dmitri, et al.. (2012). Popularity versus similarity in growing networks. Bulletin of the American Physical Society. 2012.1 indexed citations
14.
Krioukov, Dmitri, Fragkiskos Papadopoulos, Maksim Kitsak, Amin Vahdat, & Marián Boguñá. (2010). Hyperbolic geometry of complex networks. Physical Review E. 82(3). 36106–36106.544 indexed citations breakdown →
Krioukov, Dmitri, Fragkiskos Papadopoulos, Marián Boguñá, & Amin Vahdat. (2008). Efficient Navigation in Scale-Free Networks Embedded in Hyperbolic Metric Spaces. arXiv (Cornell University).5 indexed citations
17.
Shakkottai, Srinivas, et al.. (2006). Economic Evolution of the Internet AS-Level Ecosystem.
18.
Dimitropoulos, Xenofontas, Dmitri Krioukov, George Riley, & kc claffy. (2005). Classifying the Types of Autonomous Systems in the Internet.4 indexed citations
19.
Riley, George F., et al.. (2005). Towards a Topology Generator Modeling AS Relationships. SMARTech Repository (Georgia Institute of Technology).1 indexed citations
20.
Mahadevan, Priya, Dmitri Krioukov, Bradley Huffaker, kc claffy, & Amin Vahdat. (2005). Impact of Degree Correlations on Topology Generators.3 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.