Daniel V. Tausk

501 citations
29 papers · 196 · h-index 9

Impact in

Papers in

Daniel V. Tausk

25 papers receiving 172 citations

Peers

Daniel V. Tausk
Comparison fields: 5 of 22
  • Applied Mathematics 153
  • Geometry and Topology 125
  • Mathematical Physics 83
  • Algebra and Number Theory 17
  • Astronomy and Astrophysics 50
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Nancy Hingston United States
Reiko Miyaoka Japan
Goo Ishikawa Japan
Frederico Xavier United States
Michel Rumin France
Yu. V. Chekanov Russia
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Инканг Ким South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Daniel V. Tausk

Since Specialization
Citations

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

Fields of papers citing papers by Daniel V. Tausk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Daniel V. Tausk, 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 V. Tausk Line = papers co-authored together Daniel V. Tausk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200423
2 200219
3 200119
4 200114
5 200214
6 200312
7 200012
8 199911
9 200810
10 20018
11 20028
12 20018
13 20146
14 20066
15 20015
16 20103
17 20023
18 20023
19 20133
20 20052

About Daniel V. Tausk

Daniel V. Tausk is a scholar working on Geometry and Topology, Applied Mathematics, Mathematical Physics, Astronomy and Astrophysics and Algebra and Number Theory, having authored 29 papers that have together received 196 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (18 papers), Geometry and complex manifolds (11 papers), Advanced Differential Geometry Research (6 papers), Morphological variations and asymmetry (4 papers), Advanced Banach Space Theory (4 papers), Topological and Geometric Data Analysis (3 papers), Homotopy and Cohomology in Algebraic Topology (3 papers) and Advanced Topology and Set Theory (3 papers). The work is most often cited by research in Applied Mathematics (153 citations), Geometry and Topology (125 citations), Mathematical Physics (83 citations), Algebra and Number Theory (17 citations) and Astronomy and Astrophysics (50 citations). Daniel V. Tausk has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Paolo Piccione, Алессандро Порталури, Antonio Masiello, Fabio Giannoni, Francesco Mercuri, Roderich Tumulka, Ruy Exel, Antônio Luíz Pereira and Roberto Giambò. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Anais da Academia Brasileira de Ciências, Nonlinear Analysis, Communications in Analysis and Geometry and Indiana University Mathematics Journal.

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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