Alan Feldstein

777 citations
32 papers · 629 · h-index 15

Impact in

    • Numerical methods for differential equations
    • Differential Equations and Numerical Methods
    • Iterative Methods for Nonlinear Equations
    • Fractional Differential Equations Solutions

Papers in

Alan Feldstein

27 papers receiving 526 citations

Peers

Alan Feldstein
Comparison fields: 5 of 62
  • Numerical Analysis 363
  • Modeling and Simulation 173
  • Applied Mathematics 165
  • Computational Theory and Mathematics 185
  • Statistics and Probability 49
Replace F. Toutounian with:
F. Toutounian Iran
Gregory Derfel Israel
Frank Lempio Germany
A. A. Chikriĭ Ukraine
V. K. Dzyadyk Ukraine
E. R. Love Australia
Tzanko Donchev Bulgaria
Paul Sablonnière France
Zanariah Abdul Majid Malaysia
H. Saberi Najafi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Alan Feldstein

Since Specialization
Citations

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

Fields of papers citing papers by Alan Feldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Alan Feldstein, 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 Alan Feldstein Line = papers co-authored together Alan Feldstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197195
2 197450
3 198449
4 197647
5 199145
6 199141
7 197238
8 197633
9 197333
10 199829
11 196822
12 199021
13 198617
14 199014
15 197914
16 197513
17 199512
18 197710
19 20058
20 19697

About Alan Feldstein

Alan Feldstein is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Statistics and Probability and Modeling and Simulation, having authored 32 papers that have together received 629 indexed citations. Recurring topics across this work include Numerical methods for differential equations (11 papers), Differential Equations and Numerical Methods (9 papers), Numerical Methods and Algorithms (8 papers), Benford’s Law and Fraud Detection (6 papers), Matrix Theory and Algorithms (6 papers), Nonlinear Differential Equations Analysis (5 papers), Computability, Logic, AI Algorithms (4 papers) and Fractional Differential Equations Solutions (4 papers). The work is most often cited by research in Numerical Analysis (363 citations), Modeling and Simulation (173 citations), Applied Mathematics (165 citations), Computational Theory and Mathematics (185 citations) and Statistics and Probability (49 citations). Alan Feldstein has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Richard H. Goodman, Richard K. Miller, Yang Kuang, Z. Jackiewicz, Yunkang Liu, Rosemary A. Renaut, Peter Turner, J. Bustoz, Seppo Linnainmaa and Arieh Iserles. Their work appears in journals such as Applied Numerical Mathematics, SIAM Journal on Numerical Analysis, Computing, Mathematics of Computation and Journal of the ACM.

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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