Michael Sagraloff

887 total citations
33 papers, 322 citations indexed

About

Michael Sagraloff is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Michael Sagraloff has authored 33 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Theory and Mathematics, 16 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Michael Sagraloff's work include Polynomial and algebraic computation (30 papers), Numerical Methods and Algorithms (17 papers) and Advanced Numerical Analysis Techniques (16 papers). Michael Sagraloff is often cited by papers focused on Polynomial and algebraic computation (30 papers), Numerical Methods and Algorithms (17 papers) and Advanced Numerical Analysis Techniques (16 papers). Michael Sagraloff collaborates with scholars based in Germany, Austria and United States. Michael Sagraloff's co-authors include Kurt Mehlhorn, Michael Kerber, Chee Yap, Pengming Wang, Fabrice Rouillier, Sylvain Lazard, Guillaume Moroz, Max Planck, Marc Pouget and Marie-Françoise Roy and has published in prestigious journals such as Journal of Computational and Applied Mathematics, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Michael Sagraloff

32 papers receiving 311 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Sagraloff Germany 12 279 153 56 48 33 33 322
Pablo Solernó Argentina 9 197 0.7× 55 0.4× 9 0.2× 37 0.8× 5 0.2× 22 244
John Abbott Italy 7 107 0.4× 34 0.2× 6 0.1× 47 1.0× 13 0.4× 23 152
Andreas Dolzmann Germany 6 213 0.8× 40 0.3× 4 0.1× 111 2.3× 10 0.3× 9 289
Guillermo Matera Argentina 9 190 0.7× 75 0.5× 6 0.1× 100 2.1× 9 0.3× 32 249
Iraj Kalantari United States 10 173 0.6× 22 0.1× 16 0.3× 91 1.9× 12 0.4× 28 320
Rasmus Kyng United States 8 122 0.4× 20 0.1× 14 0.3× 79 1.6× 4 0.1× 17 217
Wenyuan Wu China 8 125 0.4× 38 0.2× 5 0.1× 44 0.9× 24 0.7× 43 214
L. Csanky United States 4 216 0.8× 9 0.1× 8 0.1× 91 1.9× 10 0.3× 5 293
Rishi Saket United States 9 183 0.7× 6 0.0× 39 0.7× 89 1.9× 10 0.3× 29 272
Peter J. C. Dickinson Netherlands 10 226 0.8× 50 0.3× 9 0.2× 24 0.5× 22 295

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-authorship network of co-authors of Michael Sagraloff

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sagraloff. A scholar is included among the top collaborators of Michael Sagraloff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Sagraloff. Michael Sagraloff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sagraloff, Michael, et al.. (2018). A near-optimal subdivision algorithm for complex root isolation based on the Pellet test and Newton iteration. ARCA (Università Ca' Foscari Venezia). 8 indexed citations
2.
Sagraloff, Michael, et al.. (2017). Efficiently Computing Real Roots of Sparse Polynomials. 229–236. 3 indexed citations
3.
Lazard, Sylvain, et al.. (2016). Solving bivariate systems using Rational Univariate Representations. Journal of Complexity. 37. 34–75. 14 indexed citations
4.
Sagraloff, Michael, et al.. (2016). Complexity Analysis of Root Clustering for a Complex Polynomial. ARCA (Università Ca' Foscari Venezia). 71–78. 5 indexed citations
5.
Sagraloff, Michael & Kurt Mehlhorn. (2015). Computing real roots of real polynomials. Journal of Symbolic Computation. 73. 46–86. 32 indexed citations
6.
Sagraloff, Michael, et al.. (2014). Improved Complexity Bounds for Computing with Planar Algebraic Curves.. arXiv (Cornell University). 1 indexed citations
7.
Mehlhorn, Kurt, Michael Sagraloff, & Pengming Wang. (2014). From approximate factorization to root isolation with application to cylindrical algebraic decomposition. Journal of Symbolic Computation. 66. 34–69. 19 indexed citations
8.
Sagraloff, Michael. (2014). On the complexity of the Descartes method when using approximate arithmetic. Journal of Symbolic Computation. 65. 79–110. 7 indexed citations
9.
Kerber, Michael & Michael Sagraloff. (2014). Root refinement for real polynomials using quadratic interval refinement. Journal of Computational and Applied Mathematics. 280. 377–395. 5 indexed citations
10.
Sagraloff, Michael & Kurt Mehlhorn. (2013). Computing Real Roots of Real Polynomials - An Efficient Method Based on Descartes' Rule of Signs and Newton Iteration. arXiv (Cornell University). 6 indexed citations
11.
Sagraloff, Michael, et al.. (2013). Exact symbolic–numeric computation of planar algebraic curves. Theoretical Computer Science. 491. 1–32. 13 indexed citations
12.
Mehlhorn, Kurt, Michael Sagraloff, & Pengming Wang. (2013). From approximate factorization to root isolation. 283–290. 6 indexed citations
13.
Sagraloff, Michael. (2012). When Newton meets Descartes. 297–304. 25 indexed citations
14.
Kerber, Michael & Michael Sagraloff. (2011). A worst-case bound for topology computation of algebraic curves. Journal of Symbolic Computation. 47(3). 239–258. 17 indexed citations
15.
Mehlhorn, Kurt, et al.. (2011). A general approach to the analysis of controlled perturbation algorithms. Computational Geometry. 44(9). 507–528. 5 indexed citations
16.
Kerber, Michael & Michael Sagraloff. (2011). A Note on the Complexity of Real Algebraic Hypersurfaces. Graphs and Combinatorics. 27(3). 419–430.
17.
Mehlhorn, Kurt & Michael Sagraloff. (2010). A deterministic algorithm for isolating real roots of a real polynomial. Journal of Symbolic Computation. 46(1). 70–90. 14 indexed citations
18.
Sagraloff, Michael. (2010). A General Approach to Isolating Roots of a Bitstream Polynomial. Mathematics in Computer Science. 4(4). 481–506. 7 indexed citations
19.
Sagraloff, Michael, et al.. (2009). A generic and flexible framework for the geometrical and topological analysis of (algebraic) surfaces. Computer Aided Geometric Design. 26(6). 627–647. 2 indexed citations
20.
Kerber, Michael, et al.. (2009). An efficient algorithm for the stratification and triangulation of an algebraic surface. Computational Geometry. 43(3). 257–278. 12 indexed citations

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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