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.
Topological Groups and Related Structures
2008471 citationsMikhail Tkachenko et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Mikhail Tkachenko
Since
Specialization
Citations
This map shows the geographic impact of Mikhail Tkachenko'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 Mikhail Tkachenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Tkachenko more than expected).
Fields of papers citing papers by Mikhail Tkachenko
This network shows the impact of papers produced by Mikhail Tkachenko. 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 Mikhail Tkachenko. The network helps show where Mikhail Tkachenko may publish in the future.
Co-authorship network of co-authors of Mikhail Tkachenko
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Tkachenko.
A scholar is included among the top collaborators of Mikhail Tkachenko 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 Mikhail Tkachenko. Mikhail Tkachenko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hernández, Salvador, et al.. (2020). On convergent sequences in dual groups. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 114(2).
Lin, Shou & Mikhail Tkachenko. (2013). Connected LCA groups are sequentially connected. Commentationes Mathematicae Universitatis Carolinae. 54(2). 263–272.2 indexed citations
13.
Alas, Ofelia T., Mikhail Tkachenko, & Richard G. Wilson. (2009). Which topologies have immediate predecessors in the poset of Hausdorff topologies. Houston journal of mathematics. 35(1). 149–158.4 indexed citations
14.
Alas, Ofelia T., et al.. (2005). THE FDS-PROPERTY AND SPACES IN WHICH COMPACT SETS ARE CLOSED. Scientiae mathematicae Japonicae. 61(3). 473–480.3 indexed citations
15.
Wilson, Richard G., Mikhail Tkachenko, & Dmitri Shakhmatov. (2004). Transversal and T1-Independent Topologies. Houston journal of mathematics. 30(2). 421–433.8 indexed citations
16.
Dow, Alan, Mikhail Tkachenko, Vladimir V. Tkachuk, & Richard G. Wilson. (2002). TOPOLOGIES GENERATED BY DISCRETE SUBSPACES. Glasnik Matematicki. 37(1). 187–210.32 indexed citations
17.
Alas, Ofelia T., Mikhail Tkachenko, Vladimir V. Tkachuk, & Richard G. Wilson. (1999). Connectedness and local connectedness of topological groups and extensions. Commentationes Mathematicae Universitatis Carolinae. 40(4). 735–753.2 indexed citations
18.
Tkachenko, Mikhail, Vladimir V. Tkachuk, Vladimir Uspenskij, & Richard G. Wilson. (1996). In quest of weaker connected topologies. Commentationes Mathematicae Universitatis Carolinae. 37(4). 825–841.6 indexed citations
19.
Tkachenko, Mikhail. (1994). $M$-mappings make their images less cellular. Commentationes Mathematicae Universitatis Carolinae. 35(3). 553–563.1 indexed citations
20.
Tkachenko, Mikhail. (1981). Some results on inverse spectra. II.. Commentationes Mathematicae Universitatis Carolinae. 22(3). 621–633.31 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.