Daniel Barsky

568 citations
15 papers · 443 · h-index 6

Impact in

Papers in

Daniel Barsky

13 papers receiving 389 citations

Peers

Daniel Barsky
Comparison fields: 5 of 90
  • Artificial Intelligence 230
  • Algebra and Number Theory 28
  • Computer Vision and Pattern Recognition 128
  • Mathematical Physics 51
  • Geometry and Topology 47
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Donniell E. Fishkind United States
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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

15 of 15 papers shown
#Work
1
Neural computation and self-organizing maps : an introduction
1992368
2
Fonctions zêta $p$ -adiques d’une classe de rayon des corps de nombres totalement réels
197823
3 197314
4 19789
5 19818
6 20088
7 19954
8 19982
9
Fonction génératrice et congruences (application aux nombres de Bernoulli)
19761
10
p-adic Properties of Lengyel's Numbers
20141
11
Congruences de coefficients de séries de Taylor (Application aux nombres de Bernoulli-Hurwitz)
19751
12
Nombres de Bell et analyse $p$-adique
19761
13
Mesures p-adiques et éléments analytiques.
19771
14 19721
15
Analyse p-adique et suites classiques de nombres
19951

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 15 papers that have together received 443 indexed citations. Recurring topics across this work include advanced mathematical theories (8 papers), Advanced Mathematical Identities (3 papers), Algebraic Geometry and Number Theory (3 papers), History and Theory of Mathematics (3 papers), Mathematical Dynamics and Fractals (3 papers), Advanced Algebra and Geometry (2 papers), semigroups and automata theory (2 papers) and Mathematical functions and polynomials (1 paper). The work is most often cited by research in Artificial Intelligence (230 citations), Algebra and Number Theory (28 citations), Computer Vision and Pattern Recognition (128 citations), Mathematical Physics (51 citations) and Geometry and Topology (47 citations). Daniel Barsky has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ronald Kates, Klaus Schulten, Thomas Martinetz, Helge Ritter and Andrzej Schinzel. Their work appears in journals such as Journal für die reine und angewandte Mathematik (Crelles Journal), Mathematical Proceedings of the Cambridge Philosophical Society, Bulletin de la Société mathématique de France, Mathematische Annalen and The Electronic Journal of Combinatorics.

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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