M Giusti

2.0k citations
44 papers · 1.1k · h-index 21

Impact in

Papers in

M Giusti

40 papers receiving 1.0k citations

Peers

M Giusti
Comparison fields: 5 of 44
  • Algebra and Number Theory 521
  • Computational Theory and Mathematics 1.0k
  • Computational Mathematics 28
  • Geometry and Topology 377
  • Computational Mechanics 383
Replace Luis Miguel Pardo with:
Luis Miguel Pardo Spain
Éric Schost Canada
Grégoire Lecerf France
Henri Lombardi France
Birkett Huber United States
Térésa Krick Argentina
Anton Leykin United States
Mark Giesbrecht Canada
Serkan Hoşten United States
Diane Maclagan United States
M Giusti relative to Luis Miguel Pardo Spain Luis Miguel Pardo's profile →
Citations per field
00.5×1.5×2.2×
Luis Miguel Pardo · 1×
Citations per year

Countries citing papers authored by M Giusti

Since Specialization
Citations

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

Fields of papers citing papers by M Giusti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M Giusti, 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 M Giusti Line = papers co-authored together M Giusti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001145
2 1998111
3 199782
4 199571
5 199160
6 199150
7 200149
8 199744
9 200638
10 200538
11 199336
12 200536
13 200335
14 200534
15 201030
16
Generalized polar varieties and an efficient real elimination
200427
17 199725
18 200124
19 198821
20
Proceedings of the 2002 international symposium on Symbolic and algebraic computation
200220

About M Giusti

M Giusti is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Geometry and Topology, Computational Mechanics and Artificial Intelligence, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (27 papers), Commutative Algebra and Its Applications (18 papers), Algebraic Geometry and Number Theory (11 papers), Advanced Numerical Analysis Techniques (11 papers), Advanced Topics in Algebra (6 papers), Algebraic structures and combinatorial models (4 papers), Numerical Methods and Algorithms (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Algebra and Number Theory (521 citations), Computational Theory and Mathematics (1.0k citations), Computational Mathematics (28 citations), Geometry and Topology (377 citations) and Computational Mechanics (383 citations). M Giusti has collaborated with scholars based in France, Spain and Argentina. Frequent co-authors include Joos Heintz, Luis Miguel Pardo, Grégoire Lecerf, Bruno Salvy, J. E. Morais, B. Bank, Jean-Claude Yakoubsohn, K. Hägele, Éric Schost and Alicia Dickenstein. Their work appears in journals such as Foundations of Computational Mathematics, Journal of Complexity, Journal of Pure and Applied Algebra, Lecture notes in mathematics and Bulletin de la Société mathématique de France.

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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