Attila Máté

953 citations
28 papers · 536 · h-index 14

Impact in

    • Mathematical functions and polynomials
    • Differential Equations and Boundary Problems
    • Holomorphic and Operator Theory
    • Iterative Methods for Nonlinear Equations
    • Mathematical Approximation and Integration

Papers in

Attila Máté

28 papers receiving 436 citations

Peers

Attila Máté
Comparison fields: 5 of 45
  • Applied Mathematics 453
  • Numerical Analysis 157
  • Mathematical Physics 127
  • Algebra and Number Theory 61
  • Geometry and Topology 90
Replace Martin E. Muldoon with:
Martin E. Muldoon Canada
Е. М. Никишин Russia
Andrea Laforgia Italy
A A Gončar
Kurt Kreith United States
E.K. Ifantis Greece
Dimitar K. Dimitrov Brazil
G. López Lagomasino Spain
G. Freud Hungary
George Csordás United States
Attila Máté relative to Martin E. Muldoon Canada Martin E. Muldoon's profile →
Citations per field
00.5×1.5×
Martin E. Muldoon · 1×
Citations per year

Countries citing papers authored by Attila Máté

Since Specialization
Citations

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

Fields of papers citing papers by Attila Máté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Attila Máté, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Attila Máté Line = papers co-authored together Attila Máté links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198563
2 199152
3 198745
4 199033
5 198733
6 198531
7 198631
8 199130
9 198030
10 198427
11 198824
12 198523
13 198722
14 198215
15 198511
16 198110
17 198610
18 19868
19 19866
20 19816

About Attila Máté

Attila Máté is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Numerical Analysis, Mathematical Physics and Algebra and Number Theory, having authored 28 papers that have together received 536 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (20 papers), Matrix Theory and Algorithms (6 papers), Differential Equations and Boundary Problems (5 papers), Iterative Methods for Nonlinear Equations (3 papers), Analytic Number Theory Research (3 papers), Mathematical Approximation and Integration (2 papers), Algebraic and Geometric Analysis (2 papers) and Spectral Theory in Mathematical Physics (2 papers). The work is most often cited by research in Applied Mathematics (453 citations), Numerical Analysis (157 citations), Mathematical Physics (127 citations), Algebra and Number Theory (61 citations) and Geometry and Topology (90 citations). Attila Máté has collaborated with scholars based in United States and Hungary. Frequent co-authors include Paul Nevai, Вилмос Тотик, D. S. Lubinsky, Walter Van Assche and Thomas Zasĺavsky. Their work appears in journals such as Proceedings of the American Mathematical Society, Constructive Approximation, Journal of Approximation Theory, Annals of Mathematics and Transactions of the American 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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