Countries citing papers authored by Andrej Bogdanov
Since
Specialization
Citations
This map shows the geographic impact of Andrej Bogdanov'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 Andrej Bogdanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Bogdanov more than expected).
This network shows the impact of papers produced by Andrej Bogdanov. 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 Andrej Bogdanov. The network helps show where Andrej Bogdanov may publish in the future.
Co-authorship network of co-authors of Andrej Bogdanov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrej Bogdanov.
A scholar is included among the top collaborators of Andrej Bogdanov 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 Andrej Bogdanov. Andrej Bogdanov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Aaronson, Scott, et al.. (2021). On quantum versus classical query complexity.. 28. 115.1 indexed citations
2.
Bogdanov, Andrej, Siyao Guo, & Ilan Komargodski. (2020). . Theory of Computing. 16(1). 1–18.2 indexed citations
Bogdanov, Andrej, et al.. (2012). On the depth complexity of homomorphic encryption schemes.. Electronic colloquium on computational complexity. 19. 157.1 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.