Laura Scrimali

544 citations
33 papers · 357 indexed · h-index 13
Topics
Optimization and Variational Analysis (17 papers)Transportation Planning and Optimization (9 papers)Economic theories and models (8 papers)
Partner nations
ItalyBelgiumFrance

In The Last Decade

Laura Scrimali

33 papers receiving 344 citations

Peers

Laura Scrimali
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 250
  • Economics and Econometrics 110
  • Numerical Analysis 73
  • Transportation 48
  • Applied Mathematics 45
Replace Sofia Giuffré with:
Sofia Giuffré Italy
Antonino Maugeri Italy
Gül Gürkan Netherlands
Guangya Chen China
Manuel Arana‐Jiménez Spain
Sándor Komlósi Hungary
P. Loridan France
Béla Martos Hungary
Takashi Maeda Japan
Laura Scrimali relative to Sofia Giuffré Italy Sofia Giuffré's profile →
Citations per field
00.5×3.2×
Sofia Giuffré · 1×
Citations per year

Countries citing papers authored by Laura Scrimali

Since Specialization
Citations

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

Fields of papers citing papers by Laura Scrimali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Scrimali

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Scrimali. A scholar is included among the top collaborators of Laura Scrimali 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 Laura Scrimali. Laura Scrimali 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 1
2 6
3 1
4 3
5 1
6 1
7 28
8 1
9 7
10 4
11 6
12 23
13
Global Lipschitz Continuity of Solutions to Parameterized Variational Inequalities
23
14 19
15 8
16 14
17 21
18
Sensitivity analysis of solutions to a class of quasi-variational inequalities
1
19 3
20 27

About Laura Scrimali

Laura Scrimali is a scholar working on Transportation, Computational Theory and Mathematics and Economics and Econometrics, having authored 33 papers that have together received 357 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (17 papers), Transportation Planning and Optimization (9 papers) and Economic theories and models (8 papers). The work is most often cited by research in Computational Theory and Mathematics (250 citations), Numerical Analysis (73 citations) and Transportation (48 citations). Laura Scrimali has collaborated with scholars based in Italy, Belgium and France. Frequent co-authors include Yurii Nesterov, Patrizia Daniele, Mohamed Mansour, Antonino Maugeri, Fabio Raciti, Paolo Falsaperla, Laura Galluccio, Christian Grasso, Antonino Maugeri and Giovanni Schembra. Their work appears in journals such as Journal of Optimization Theory and Applications, Applied Mathematics Letters and Journal of Global Optimization.

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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