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.
Positive Solutions of Operator Equations.
19671.7k citationsM. A. Krasnosel’skii et al.profile →
Topological Methods in the Theory of Nonlinear Integral Equations.
19681.4k citationsM. A. Krasnosel’skii et al.profile →
Countries citing papers authored by M. A. Krasnosel’skii
Since
Specialization
Citations
This map shows the geographic impact of M. A. Krasnosel’skii'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 M. A. Krasnosel’skii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Krasnosel’skii more than expected).
Fields of papers citing papers by M. A. Krasnosel’skii
This network shows the impact of papers produced by M. A. Krasnosel’skii. 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 M. A. Krasnosel’skii. The network helps show where M. A. Krasnosel’skii may publish in the future.
Co-authorship network of co-authors of M. A. Krasnosel’skii
This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Krasnosel’skii.
A scholar is included among the top collaborators of M. A. Krasnosel’skii 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 M. A. Krasnosel’skii. M. A. Krasnosel’skii is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Diamond, Phil, Peter E. Kloeden, M. A. Krasnosel’skii, & A. V. Pokrovskiĭ. (2000). Chaotic dynamics in nonsmooth perturbations of bishadowing systems. Queensland's institutional digital repository (The University of Queensland). 6(1). 41–74.4 indexed citations
3.
Krasnosel’skii, M. A., et al.. (1994). Iterations with incomplete corrections for linear systems with self-conjugate operators. Doklady Physics. 39(11). 748–751.1 indexed citations
4.
Krasnosel’skii, M. A., Jean Mawhin, & A. V. Pokrovskiĭ. (1991). NEW THEOREMS ON PERIODIC FORCED VIBRATIONS AND BOUNDED SOLUTIONS. Soviet physics. Doklady. 36(11). 743–745.1 indexed citations
5.
Krasnosel’skii, M. A., et al.. (1990). Identification of linear system on the basis of two tests. Soviet physics. Doklady. 35. 109.
6.
Krasnosel’skii, M. A., et al.. (1989). Autovibration in systems with hysteresis. Soviet physics. Doklady. 34. 1066.1 indexed citations
7.
Krasnosel’skii, M. A., et al.. (1989). Positive linear systems : the method of positive operators.173 indexed citations
8.
Krasnosel’skii, M. A., et al.. (1989). A class of hysteresis nonlinearities. Soviet physics. Doklady. 34. 301.
9.
Kozyakin, Victor, et al.. (1984). Stability of desynchronized systems. Soviet physics. Doklady. 29. 92.6 indexed citations
10.
Krasnosel’skii, M. A. & A. V. Pokrovskiĭ. (1983). Системы с гистерезисом.12 indexed citations
11.
Krasnosel’skii, M. A., et al.. (1980). Parameter-functionalization method in the problem of bifurcation points. 254(5). 1061–1064.1 indexed citations
12.
Krasnosel’skii, M. A., et al.. (1975). Геометрические методы нелинейного анализа.19 indexed citations
13.
Krasnosel’skii, M. A.. (1973). Näherungsverfahren zur Lösung von Operatorgleichungen. Akademie Verlag eBooks.7 indexed citations
14.
Krasnosel’skii, M. A.. (1969). Приближенное решение операторных уравнений. Наука eBooks.12 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.