Aurél Galántai

775 citations
39 papers · 476 indexed · h-index 10
Topics
Matrix Theory and Algorithms (20 papers)Advanced Optimization Algorithms Research (18 papers)Iterative Methods for Nonlinear Equations (11 papers)
Partner nations
HungaryRomaniaPakistan

In The Last Decade

Aurél Galántai

37 papers receiving 446 citations

Peers

Aurél Galántai
Comparison fields: 5 of 88
  • Computational Theory and Mathematics 214
  • Numerical Analysis 159
  • Artificial Intelligence 73
  • Computational Mechanics 71
  • Electrical and Electronic Engineering 64
Replace Ivan Slapničar with:
Ivan Slapničar Croatia
Paola Favati Italy
James S. Vandergraft United States
William F. Moss United States
Jorge Delgado Spain
E. L. Yip United States
Mårten Gulliksson Sweden
Moshe Dubiner Israel
Heike Faßbender Germany
Jennifer Pestana United Kingdom
Aurél Galántai relative to Ivan Slapničar Croatia Ivan Slapničar's profile →
Citations per field
00.5×1.5×2.4×
Ivan Slapničar · 1×
Citations per year

Countries citing papers authored by Aurél Galántai

Since Specialization
Citations

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

Fields of papers citing papers by Aurél Galántai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurél Galántai

This figure shows the co-authorship network connecting the top 25 collaborators of Aurél Galántai. A scholar is included among the top collaborators of Aurél Galántai 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 Aurél Galántai. Aurél Galántai 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 8
3 16
4 1
5 5
6 11
7 2
8 5
9
ABS methods for nonlinear systems of algebraic equations
2
10 38
11 32
12 2
13 18
14 87
15 4
16 8
17 7
18 123
19 4
20 4

About Aurél Galántai

Aurél Galántai is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 39 papers that have together received 476 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (20 papers), Advanced Optimization Algorithms Research (18 papers) and Iterative Methods for Nonlinear Equations (11 papers). The work is most often cited by research in Numerical Analysis (159 citations), Computational Theory and Mathematics (214 citations) and Computational Mathematics (4 citations). Aurél Galántai has collaborated with scholars based in Hungary, Romania and Pakistan. Frequent co-authors include Tibor K. Pogány, József K. Tar, Emilio Spedicato, Tibor Csendes and László Szeidl. Their work appears in journals such as Mathematics of Computation, Journal of Mathematical Analysis and Applications and Computers & Mathematics with Applications.

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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