Daniel Barsky

564 citations
14 papers · 354 · h-index 6

Impact in

Papers in

    • advanced mathematical theories 7
    • Mathematical Dynamics and Fractals 3
    • Advanced Algebra and Geometry 2
    • Mathematical and Theoretical Analysis 1
    • Algebraic Geometry and Number Theory 3

Daniel Barsky

12 papers receiving 312 citations

Peers

Daniel Barsky
Comparison fields: 5 of 89
  • Artificial Intelligence 172
  • Mathematical Physics 46
  • Computer Vision and Pattern Recognition 104
  • Algebra and Number Theory 22
  • Geometry and Topology 39
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Barsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Barsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Daniel Barsky, 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 Daniel Barsky Line = papers co-authored together Daniel Barsky links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Neural computation and self-organizing maps : an introduction
1992289
2
Fonctions zêta $p$ -adiques d’une classe de rayon des corps de nombres totalement réels
197818
3 197314
4 19789
5 20087
6 19816
7 19953
8 19982
9
p-adic Properties of Lengyel's Numbers
20141
10
Mesures p-adiques et éléments analytiques.
19771
11
Fonction génératrice et congruences (application aux nombres de Bernoulli)
19761
12
Congruences de coefficients de séries de Taylor (Application aux nombres de Bernoulli-Hurwitz)
19751
13
Analyse p-adique et suites classiques de nombres
19951
14 19721

About Daniel Barsky

Daniel Barsky is a scholar working on Mathematical Physics, Geometry and Topology, Algebra and Number Theory, Computational Theory and Mathematics and Theoretical Computer Science, having authored 14 papers that have together received 354 indexed citations. Recurring topics across this work include advanced mathematical theories (7 papers), History and Theory of Mathematics (3 papers), Algebraic Geometry and Number Theory (3 papers), Advanced Mathematical Identities (3 papers), Mathematical Dynamics and Fractals (3 papers), Advanced Algebra and Geometry (2 papers), semigroups and automata theory (2 papers) and Mathematical and Theoretical Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (172 citations), Mathematical Physics (46 citations), Computer Vision and Pattern Recognition (104 citations), Algebra and Number Theory (22 citations) and Geometry and Topology (39 citations). Daniel Barsky has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ronald Kates, Klaus Schulten, Helge Ritter, Thomas Martinetz and Andrzej Schinzel. Their work appears in journals such as Journal für die reine und angewandte Mathematik (Crelles Journal), Mathematische Annalen, The Electronic Journal of Combinatorics, Acta Arithmetica and Mathematical Proceedings of the Cambridge Philosophical 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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