Elisabetta Allevi

846 citations
59 papers · 598 indexed · h-index 13

Elisabetta Allevi

54 papers receiving 566 citations

Peers

Elisabetta Allevi
Comparison fields: 5 of 71
  • General Energy 15
  • Management Science and Operations Research 132
  • Numerical Analysis 55
  • Economics and Econometrics 212
  • Computational Theory and Mathematics 107
Replace W. B. Liu with:
W. B. Liu United Kingdom
Kjetil Høyland Norway
Gerardo A. Pérez-Valdés Norway
Hung‐po Chao United States
N. C. P. Edirisinghe United States
David Wozabal Germany
Omar Ben‐Ayed Tunisia
Lijun Guo China
Nalân Gülpınar United Kingdom
Akira Takayama United States
Elisabetta Allevi relative to W. B. Liu United Kingdom W. B. Liu's profile →
Citations per field
00.5×7.5×
W. B. Liu · 1×
Citations per year

Countries citing papers authored by Elisabetta Allevi

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Allevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Elisabetta Allevi, 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 Elisabetta Allevi Line = papers co-authored together Elisabetta Allevi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20230
3 20230
4 20194
5 201850
6 20175
7 20173
8 20177
9 201525
10 201327
11 20117
12 201156
13
Spatial Auction Markets with Unique Consumer Price
20111
14 20091
15
A two-stage stochastic optimization model for a gas sale retailer
20084
16
Mobile ad-hoc networks : a new stochastic second-order cone programming approach
20082
17 20084
18 20072
19
Non linear analysis with applications in economics, energy and transportation
20075
20
Representation of preference orderings on Totally Ordered Semigroups
20002

About Elisabetta Allevi

Elisabetta Allevi is a scholar working on General Energy, Numerical Analysis and Management Science and Operations Research, having authored 59 papers that have together received 598 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (16 papers), Risk and Portfolio Optimization (12 papers), Electric Power System Optimization (10 papers), Optimization and Mathematical Programming (9 papers), Advanced Optimization Algorithms Research (9 papers), Climate Change Policy and Economics (8 papers), Smart Grid Energy Management (6 papers) and Merger and Competition Analysis (4 papers). The work is most often cited by research in General Energy (15 citations), Management Science and Operations Research (132 citations) and Numerical Analysis (55 citations). Elisabetta Allevi has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Giorgia Oggioni, I. V. Konnov, Francesca Maggioni, Rossana Riccardi, Marida Bertocchi, Siegfried Schaible, Marco Rocco, Yves Smeers, Antonella Basso and Maria Teresa Vespucci. Their work appears in journals such as Journal of Cleaner Production, European Journal of Operational Research and Energy Policy.

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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