Luca Gemignani

1.3k citations
89 papers · 850 indexed · h-index 17
Topics
Matrix Theory and Algorithms (70 papers)Advanced Optimization Algorithms Research (22 papers)Polynomial and algebraic computation (20 papers)
Partner nations
ItalyIsraelUnited States

In The Last Decade

Luca Gemignani

85 papers receiving 760 citations

Peers

Luca Gemignani
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 655
  • Numerical Analysis 282
  • Computational Mechanics 180
  • Applied Mathematics 142
  • Atomic and Molecular Physics, and Optics 141
Replace Vadim Olshevsky with:
Vadim Olshevsky United States
Krešimir Veselić Germany
Karla Rost Germany
Georg Heinig Kuwait
Plamen Koev United States
Carlo Garoni Italy
Sanzheng Qiao Canada
Yuji Nakatsukasa United Kingdom
Yuli Eidelman Israel
Gregory Ammar United States
Luca Gemignani relative to Vadim Olshevsky United States Vadim Olshevsky's profile →
Citations per field
00.5×1.5×
Vadim Olshevsky · 1×
Citations per year

Countries citing papers authored by Luca Gemignani

Since Specialization
Citations

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

Fields of papers citing papers by Luca Gemignani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Gemignani

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Gemignani. A scholar is included among the top collaborators of Luca Gemignani 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 Luca Gemignani. Luca Gemignani 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
#WorkIndexed citations
1 2
2 4
3 3
4 2
5 17
6 2
7 4
8 6
9 19
10
ON THE SHIFTED QR ITERATION APPLIED TO COMPANION MATRICES
36
11
Improved initialization of the accelerated and robust QR-like polynomial root-finding.
22
12 57
13 14
14
Polynomial factors, lemniscates and structured matrix technology
1
15
A Fast Algorithm for Hankel Matrices Represented in Orthogonal Polynomial Bases
0
16
MANIPULATING POLYNOMIALS IN GENERALIZED FORM
4
17
RATIONAL INTERPOLATION AT CHEBYSHEV POINTS
2
18 6
19 9
20 11

About Luca Gemignani

Luca Gemignani is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 89 papers that have together received 850 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (70 papers), Advanced Optimization Algorithms Research (22 papers) and Polynomial and algebraic computation (20 papers). The work is most often cited by research in Computational Mathematics (31 citations), Numerical Analysis (282 citations) and Computational Theory and Mathematics (655 citations). Luca Gemignani has collaborated with scholars based in Italy, Israel and United States. Frequent co-authors include Dario A. Bini, Victor Y. Pan, Dario Fasino, Beatrice Meini, Lucia Romani, Israel Gohberg, Costanza Conti, Yuli Eidelman, Paola Boito and Marc Van Barel. Their work appears in journals such as Mathematics of Computation, Journal of Mathematical Analysis and Applications and SIAM Journal on Computing.

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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