M. A. Naĭmark

2.9k citations
16 papers · 1.7k indexed · 1 hit paper · h-index 6
Topics
Advanced Topics in Algebra (3 papers)Advanced Algebra and Geometry (3 papers)Advanced Operator Algebra Research (3 papers)
Partner nations
United States

In The Last Decade

M. A. Naĭmark

11 papers receiving 1.5k citations

Hit Papers

Linear differential operators196720261986200619674008001.2k

Peers

M. A. Naĭmark
Comparison fields: 5 of 75
  • Mathematical Physics 902
  • Applied Mathematics 684
  • Computational Theory and Mathematics 624
  • Statistical and Nonlinear Physics 262
  • Numerical Analysis 233
Replace Н. И. Ахиезер with:
Н. И. Ахиезер United States
F. V. Atkinson Canada
Seymour Goldberg United States
Harry Hochstadt United States
François Trèves United States
J. B. Díaz United States
A. I. Markushevich United States
B. M. Levitan Israel
Joachim Weidmann Germany
F. Alberto Grünbaum United States
M. A. Naĭmark relative to Н. И. Ахиезер United States Н. И. Ахиезер's profile →
Citations per field
00.5×1.5×
Н. И. Ахиезер · 1×
Citations per year

Countries citing papers authored by M. A. Naĭmark

Since Specialization
Citations

This map shows the geographic impact of M. A. Naĭmark'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. Naĭmark 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. Naĭmark more than expected).

Fields of papers citing papers by M. A. Naĭmark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Naĭmark. 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. Naĭmark. The network helps show where M. A. Naĭmark may publish in the future.

Co-authorship network of co-authors of M. A. Naĭmark

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Naĭmark. A scholar is included among the top collaborators of M. A. Naĭmark 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. Naĭmark. M. A. Naĭmark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 183
2 122
3 0
4 8
5 1
6 1
7 3
8 4
9
Elementary theory of linear differential operators
2
10
Linear differential operatorsbreakdown →
1352
11 24
12 1
13 3
14 1
15 23
16 1

About M. A. Naĭmark

M. A. Naĭmark is a scholar working on Theoretical Computer Science, Numerical Analysis and Algebra and Number Theory, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Topics in Algebra (3 papers), Advanced Algebra and Geometry (3 papers) and Advanced Operator Algebra Research (3 papers). The work is most often cited by research in Mathematical Physics (902 citations), Applied Mathematics (684 citations) and Numerical Analysis (233 citations). M. A. Naĭmark has collaborated with scholars based in United States. Frequent co-authors include M. Г. Крейн, Wilhelm Magnus, D P Želobenko, E. M. Landis, П. Е. Соболевский, В. А. Ильин, I. M. Gel'fand, L. A. Lyusternik and Israel Gohberg. Their work appears in journals such as American Journal of Physics, American Mathematical Monthly and Mathematische Annalen.

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.

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