Ferenc Móricz

2.9k citations
187 papers · 1.9k indexed · h-index 22

Ferenc Móricz

169 papers receiving 1.6k citations

Peers

Ferenc Móricz
Comparison fields: 5 of 56
  • Applied Mathematics 1.3k
  • Statistics and Probability 1.1k
  • Mathematical Physics 578
  • Numerical Analysis 513
  • Management Science and Operations Research 238
Replace D. L. Burkholder with:
D. L. Burkholder United States
Ioan Raşa Romania
V. Bentkus Lithuania
Stanisław Kwapień Poland
Michael T. Lacey United States
Francesco Altomare Italy
J. Hoffmann-Jørgensen Denmark
Lech Maligranda Sweden
J. J. Uhl United States
Louis Sucheston United States
Ferenc Móricz relative to D. L. Burkholder United States D. L. Burkholder's profile →
Citations per field
00.5×3.6×
D. L. Burkholder · 1×
Citations per year

Countries citing papers authored by Ferenc Móricz

Since Specialization
Citations

This map shows the geographic impact of Ferenc Móricz'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 Ferenc Móricz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferenc Móricz more than expected).

Fields of papers citing papers by Ferenc Móricz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferenc Móricz. 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 Ferenc Móricz. The network helps show where Ferenc Móricz may publish in the future.

Co-authorship network of co-authors of Ferenc Móricz

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Double Fourier tranforms, Lipschitz and Zygmund classes of functions on the plane
0
3
Enlarged Lipschitz and Zygmund classes of functions and Fourier transforms
4
4
Absolutely convergent double Fourier series, enlarged Lipschitz and Zygmund classes of functions of two variables
1
5
Absolutely convergent Fourier series, enlarged Lipschitz and Zygmund classes of functions
1
6 5
7 6
8 0
9 14
10
Bundle convergence of weiteighted sums of operators in noncommutative [L_2]-spaces
0
11 2
12 2
13 1
14 3
15 20
16 4
17 3
18 7
19 2
20 129

About Ferenc Móricz

Ferenc Móricz is a scholar working on Applied Mathematics, Statistics and Probability and Numerical Analysis, having authored 187 papers that have together received 1.9k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (92 papers), Advanced Harmonic Analysis Research (83 papers) and Mathematical Approximation and Integration (47 papers). The work is most often cited by research in Applied Mathematics (1.3k citations), Statistics and Probability (1.1k citations) and Numerical Analysis (513 citations). Ferenc Móricz has collaborated with scholars based in Hungary, United States and Australia. Frequent co-authors include Β. E. Rhoades, Elijah Liflyand, Robert L. Taylor, Gavin Brown, Ferenc Schipp, Tien-Chung Hu, R. J. Serfling, William Stout, Abul Hasan Siddiqi and Cihan Orhan. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Bulletin of the London Mathematical Society.

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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