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.
Approximate Methods of Higher Analysis
19601.1k citationsL. V. Kantorovich, V. I. Krylov et al.Physics Todayprofile →
Approximate Calculation of Integrals
1964631 citationsSeymour Haber, V. I. KrylovMathematics of Computationprofile →
Approximate Calculation of Integrals.
1965566 citationsE. K. Blum, V. I. Krylov et al.American Mathematical Monthlyprofile →
Approximate Methods of Higher Analysis
1960525 citationsA. S. Householder, L. V. Kantorovich et al.Mathematics of Computationprofile →
Approximate Methods of Higher Analysis.
1960354 citationsHans Sagan, L. V. Kantorovich et al.American Mathematical Monthlyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of V. I. Krylov'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 V. I. Krylov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. I. Krylov more than expected).
This network shows the impact of papers produced by V. I. Krylov. 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 V. I. Krylov. The network helps show where V. I. Krylov may publish in the future.
Co-authorship network of co-authors of V. I. Krylov
This figure shows the co-authorship network connecting the top 25 collaborators of V. I. Krylov.
A scholar is included among the top collaborators of V. I. Krylov 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 V. I. Krylov. V. I. Krylov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Krylov, V. I., et al.. (1977). A handbook of methods of approximate Fourier transformation and inversion of the Laplace transformation. CERN Document Server (European Organization for Nuclear Research).41 indexed citations
Krylov, V. I., et al.. (1969). Handbook of Numerical Harmonic Analysis. Medical Entomology and Zoology.11 indexed citations
9.
Krylov, V. I., et al.. (1969). Handbook of Numerical Inversion of Laplace Transforms. CERN Document Server (European Organization for Nuclear Research).42 indexed citations
10.
Blum, E. K., et al.. (1965). Approximate Calculation of Integrals.. American Mathematical Monthly. 72(1). 103–103.566 indexed citations breakdown →
Haber, Seymour & V. I. Krylov. (1964). Approximate Calculation of Integrals. Mathematics of Computation. 18(87). 523–523.631 indexed citations breakdown →
Sagan, Hans, et al.. (1960). Approximate Methods of Higher Analysis.. American Mathematical Monthly. 67(5). 485–485.354 indexed citations breakdown →
15.
Kantorovich, L. V., et al.. (1960). Approximate Methods of Higher Analysis. Physics Today. 13(1). 74–76.1084 indexed citations breakdown →
16.
Householder, A. S., L. V. Kantorovich, & V. I. Krylov. (1960). Approximate Methods of Higher Analysis. Mathematics of Computation. 14(69). 90–90.525 indexed citations breakdown →
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.