Veronica Vecchi

911 citations
38 papers · 579 indexed · h-index 12

Impact in

Papers in

Veronica Vecchi

33 papers receiving 556 citations

Peers

Veronica Vecchi
Comparison fields: 5 of 64
  • Neurology 190
  • Strategy and Management 281
  • Cognitive Neuroscience 189
  • Rehabilitation 52
  • Finance 73
Replace Maobin Wang with:
Maobin Wang China
Carmen Galve Górriz Spain
Eric J. Allen United States
Anne Fleischer United States
John Murphy United States
Chang Xi China
Belén Dı́az Dı́az Spain
Anthony J. Casey United States
João Sousa Andrade Portugal
Luca Pellegrini United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Veronica Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010229
2 202056
3 201341
4 201233
5 201025
6 201723
7 201421
8 201219
9 202216
10 201515
11 201913
12 201811
13 202210
14 20158
15 20128
16 20207
17 20206
18 20225
19 20225
20 20215

About Veronica Vecchi

Veronica Vecchi is a scholar working on Strategy and Management, Economics and Econometrics, Finance, Marketing and Management, Monitoring, Policy and Law, having authored 38 papers that have together received 579 indexed citations. Recurring topics across this work include Public-Private Partnership Projects (21 papers), Management, Economics, and Public Policy (8 papers), Urban Planning and Valuation (8 papers), Public Procurement and Policy (8 papers), Community Development and Social Impact (5 papers), Housing Market and Economics (4 papers), Auction Theory and Applications (3 papers) and Fiscal Policy and Economic Growth (3 papers). The work is most often cited by research in Neurology (190 citations), Strategy and Management (281 citations), Cognitive Neuroscience (189 citations), Rehabilitation (52 citations) and Finance (73 citations). Veronica Vecchi has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Mark Hellowell, Stefano Gatti, Silvia Bonifazi, Francesco Tomaiuolo, Valentina Fiori, Michela Coccia, Chiara Valeria Marinelli, Maria Gabriella Ceravolo, Leandro Provinciali and Paola Marangolo. Their work appears in journals such as Electronic Markets, Public Money & Management, Public Management Review, Health Policy and Business & Society.

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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