G. Freud

984 citations
53 papers · 644 · h-index 16

Impact in

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

Papers in

G. Freud

52 papers receiving 488 citations

Peers

G. Freud
Comparison fields: 5 of 57
  • Numerical Analysis 242
  • Applied Mathematics 464
  • Algebra and Number Theory 87
  • Statistics and Probability 129
  • Modeling and Simulation 47
Replace Е. М. Никишин with:
Е. М. Никишин Russia
Attila Máté United States
A A Gončar
Martin E. Muldoon Canada
J. Szabados Hungary
Andrea Laforgia Italy
Hikosaburo Komatsu Japan
Albert Edrei United States
Q I Rahman Canada
N. K. Govil United States
G. Freud relative to Е. М. Никишин Russia Е. М. Никишин's profile →
Citations per field
00.5×1.5×2.0×
Е. М. Никишин · 1×
Citations per year

Countries citing papers authored by G. Freud

Since Specialization
Citations

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

Fields of papers citing papers by G. Freud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside G. Freud, 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 G. Freud Line = papers co-authored together G. Freud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197171
2 197757
3 196947
4 195826
5 198624
6 197324
7 197820
8 196920
9 197419
10 195119
11 197218
12 197118
13 195917
14 198317
15 195417
16 197415
17 195415
18 195815
19 196614
20 196713

About G. Freud

G. Freud is a scholar working on Applied Mathematics, Numerical Analysis, Geometry and Topology, Statistics and Probability and Computational Mechanics, having authored 53 papers that have together received 644 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (18 papers), Mathematics and Applications (9 papers), Approximation Theory and Sequence Spaces (9 papers), Iterative Methods for Nonlinear Equations (7 papers), Mathematical Approximation and Integration (5 papers), Advanced Numerical Analysis Techniques (5 papers), advanced mathematical theories (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Numerical Analysis (242 citations), Applied Mathematics (464 citations), Algebra and Number Theory (87 citations), Statistics and Probability (129 citations) and Modeling and Simulation (47 citations). G. Freud has collaborated with scholars based in Hungary, United States and Canada. Frequent co-authors include P. Erdös, H. N. Mhaskar, Q. I. Rahman, J. Szabados, André Giroux, Anand Sharma, Z. Ditzian, Donald J. Newman, A.R Reddy and A. Sharma. Their work appears in journals such as Canadian Journal of Mathematics, Acta Mathematica Academiae Scientiarum Hungaricae, Studia Mathematica, Journal of Approximation Theory and The Quarterly Journal of Mathematics.

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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