Michael Sagraloff

898 citations
33 papers · 323 · h-index 12

Impact in

Papers in

Michael Sagraloff

32 papers receiving 314 citations

Peers

Michael Sagraloff
Comparison fields: 5 of 36
  • Computational Theory and Mathematics 278
  • Computer Graphics and Computer-Aided Design 56
  • Computational Mechanics 153
  • Algebra and Number Theory 25
  • Numerical Analysis 26
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Citations per field
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Citations per year

Countries citing papers authored by Michael Sagraloff

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sagraloff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michael Sagraloff, 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 Michael Sagraloff Line = papers co-authored together Michael Sagraloff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201533
2 201127
3 201225
4 201419
5 201218
6 201117
7 201014
8 201614
9 201114
10 201313
11 200912
12 201211
13 201410
14 20069
15 20089
16 20188
17 20147
18 20107
19
Computing Real Roots of Real Polynomials - An Efficient Method Based on Descartes' Rule of Signs and Newton Iteration
20136
20
An Efficient and Exact Subdivision Algorithm for Isolating Complex Roots of a Polynomial and its Complexity Analysis
20096

About Michael Sagraloff

Michael Sagraloff is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Computer Graphics and Computer-Aided Design, Signal Processing and Algebra and Number Theory, having authored 33 papers that have together received 323 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (30 papers), Numerical Methods and Algorithms (17 papers), Advanced Numerical Analysis Techniques (16 papers), Computational Geometry and Mesh Generation (6 papers), Digital Filter Design and Implementation (5 papers), Commutative Algebra and Its Applications (4 papers), Advanced Combinatorial Mathematics (3 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Computational Theory and Mathematics (278 citations), Computer Graphics and Computer-Aided Design (56 citations), Computational Mechanics (153 citations), Algebra and Number Theory (25 citations) and Numerical Analysis (26 citations). Michael Sagraloff has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Kurt Mehlhorn, Michael Kerber, Chee Yap, Pengming Wang, Fabrice Rouillier, Guillaume Moroz, Marc Pouget, Max Planck, Sylvain Lazard and Marie-Françoise Roy. Their work appears in journals such as Computational Geometry, Computer Aided Geometric Design, Theoretical Computer Science, Discrete & Computational Geometry and Graphs and 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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