Marco Sciandrone

2.6k citations
91 papers · 1.9k · h-index 26

Impact in

Papers in

    • Advanced Optimization Algorithms Research 48
    • Iterative Methods for Nonlinear Equations 16
    • Optimization and Variational Analysis 18
    • Matrix Theory and Algorithms 10
    • Advanced Multi-Objective Optimization Algorithms 10

Marco Sciandrone

83 papers receiving 1.8k citations

Peers

Marco Sciandrone
Comparison fields: 5 of 152
  • Numerical Analysis 548
  • Computational Theory and Mathematics 517
  • Computational Mechanics 285
  • Artificial Intelligence 468
  • Signal Processing 145
Replace Mark Schmidt with:
Mark Schmidt Canada
B.E. Stuckman United States
C.D. Perttunen United States
Qing Ling China
Yiming Ying United States
Feilong Cao China
Guillaume Obozinski Switzerland
Ken Brodlie United Kingdom
Xavier Bresson Switzerland
D. Jacobson United States
Marco Sciandrone relative to Mark Schmidt Canada Mark Schmidt's profile →
Citations per field
00.5×2×3×4×4.5×
Mark Schmidt · 1×
Citations per year

Countries citing papers authored by Marco Sciandrone

Since Specialization
Citations

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

Fields of papers citing papers by Marco Sciandrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Sciandrone, 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 Marco Sciandrone Line = papers co-authored together Marco Sciandrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010201
2 2019121
3 2002100
4 201098
5 199987
6 200273
7 200271
8 201659
9 200854
10 201047
11 200245
12 201745
13 200140
14 202240
15 201040
16 200539
17 200738
18 200637
19 200534
20 201833

About Marco Sciandrone

Marco Sciandrone is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Artificial Intelligence and Control and Systems Engineering, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (48 papers), Sparse and Compressive Sensing Techniques (18 papers), Optimization and Variational Analysis (18 papers), Iterative Methods for Nonlinear Equations (16 papers), Neural Networks and Applications (10 papers), Matrix Theory and Algorithms (10 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Numerical Analysis (548 citations), Computational Theory and Mathematics (517 citations), Computational Mechanics (285 citations), Artificial Intelligence (468 citations) and Signal Processing (145 citations). Marco Sciandrone has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Stefano Lucidi, Luigi Grippo, Veronica Piccialli, F. Lampariello, Giampaolo Liuzzi, Carmelo Anile, Francesco Rinaldi, Laura Palagi, Francisco Facchinei and Fabio Schoen. Their work appears in journals such as Computational Optimization and Applications, Optimization methods & software, Journal of Optimization Theory and Applications, SIAM Journal on Optimization and 4OR.

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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