Functional analysis in normed spaces
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w2789813 →Countries where authors are citing Functional analysis in normed spaces
This map shows the geographic impact of Functional analysis in normed spaces. 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 Functional analysis in normed spaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Functional analysis in normed spaces more than expected).
Fields of papers citing Functional analysis in normed spaces
This network shows the impact of Functional analysis in normed spaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Functional analysis in normed spaces.
About Functional analysis in normed spaces
This paper, published in 1964, received 1.1k indexed citations . Written by L. V. Kantorovich, G.P. AKILOV and A. P. Robertson covering the research area of Applied Mathematics, Computational Theory and Mathematics and Geometry and Topology. It is primarily cited by scholars working on Numerical Analysis (462 citations), Computational Theory and Mathematics (364 citations) and Applied Mathematics (249 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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.
This paper is also available at doi.org/w2789813.