Fernando Cukierman

494 citations
18 papers · 293 · h-index 9

Impact in

Papers in

Fernando Cukierman

18 papers receiving 263 citations

Peers

Fernando Cukierman
Comparison fields: 5 of 54
  • Geometry and Topology 124
  • Algebra and Number Theory 37
  • Mathematical Physics 64
  • Computer Vision and Pattern Recognition 125
  • Computer Graphics and Computer-Aided Design 18
Replace T. Duchamp with:
T. Duchamp United States
David Groisser United States
V. M. Zakalyukin Russia
Christoph Koutschan Austria
Krzysztof Marciniak Sweden
Levent Kula Türkiye
Jean-Paul Calvi France
Swanhild Bernstein Germany
Morton L. Curtis United States
H. L. Garabedian United States
Fernando Cukierman relative to T. Duchamp United States T. Duchamp's profile →
Citations per field
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T. Duchamp · 1×
Citations per year

Countries citing papers authored by Fernando Cukierman

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Cukierman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1994117
2 198933
3 198330
4 200818
5
Curves of genus ten on K3 surfaces
199316
6 201016
7 200615
8 200614
9 19939
10 19915
11 19995
12 19974
13 20143
14 20033
15 20172
16
Positive polynomials and hyperdeterminants
20071
17 19951
18 20221

About Fernando Cukierman

Fernando Cukierman is a scholar working on Geometry and Topology, Algebra and Number Theory, Mathematical Physics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 18 papers that have together received 293 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (9 papers), Polynomial and algebraic computation (4 papers), Commutative Algebra and Its Applications (4 papers), Advanced Algebra and Geometry (3 papers), Advanced Differential Equations and Dynamical Systems (3 papers), Advanced Numerical Analysis Techniques (3 papers), Homotopy and Cohomology in Algebraic Topology (2 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Geometry and Topology (124 citations), Algebra and Number Theory (37 citations), Mathematical Physics (64 citations), Computer Vision and Pattern Recognition (125 citations) and Computer Graphics and Computer-Aided Design (18 citations). Fernando Cukierman has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Gabriel Taubin, David Kriegman, Jean Ponce, Steve Sullivan, Jorge Vitório Pereira, Israel Vainsencher, Jorge L. C. Sanz, Thomas S. Huang, Douglas Ulmer and Paolo Aluffi. Their work appears in journals such as Duke Mathematical Journal, Compositio Mathematica, Synthese, Mathematische Annalen and American 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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