The topic studies agricultural landscapes and rural heritage as assets to protect and enhance: farm and forest landscapes, historic rural buildings, cultural sites and green spaces. It asks what they are worth to citizens and tourists, using choice experiments, contingent valuation and the travel cost method, and how policies, starting from the CAP, affect their conservation. Recent research looks at the emotions of tourists and residents in landscape restoration after extreme events, environmental justice in rural landscapes changing with the climate, the refurbishment of rural buildings and new tools, such as augmented reality, to engage young people with heritage.
Description written by AI from the keywords, journals, most-cited works and recent works of the topic.
The last share tells how far the topic passes through few hands: in the field it ranges from 12% to 39%. 23% means that the topic has some reference groups but remains widespread. Signatures are counted, not papers: an article with four authors on the topic weighs four times, because the question is how much of the work passes through few people.
The topic is declining: citations received by its papers went from 938 (2020–2022) to 1,244 (2023–2025), while those of the whole field grew 1.55 times. Citations received in those years by all papers on the topic are counted, including older ones.
By papers on the topic. The last column still shows specialisation, to tell apart those who work on it a lot in absolute terms from those who work on it above all.
Not those who published the most on it, but those who devote the largest share of their output to it compared with the field average. Above 1 there is specialisation; the tick marks parity. Researchers with fewer than three papers on the topic are excluded.
| Name | Institution | Papers on the topic | Specialisation |
|---|---|---|---|
| Daniel Vecchiato | Università degli Studi di Padova | 15 | 20.87 |
| Sonia Venanzi | Università degli Studi di Perugia | 4 | 19.08 |
| Aurora Cavallo | Universitas Mercatorum | 4 | 17.35 |
| Giovanni Signorello | Università degli Studi di Catania | 6 | 8.95 |
| Veronica Alampi Sottini | Università degli Studi di Firenze | 4 | 8.30 |
| Marta Debolini | Centro Euro-Mediterraneo sui Cambiamenti Climatici | 5 | 8.23 |
| Biancamaria Torquati | Università degli Studi di Perugia | 7 | 8.15 |
| Iacopo Bernetti | Università degli Studi di Firenze | 9 | 7.81 |
| Luigi Mastronardi | Università degli Studi del Molise | 4 | 6.58 |
| Giovanni Quaranta | Università degli Studi della Basilicata | 9 | 5.53 |
The number tells how much work on the topic comes from each institution; specialisation tells how much the topic weighs within the institution compared with the field average. A small, focused institution can be more specialised than a large one that does everything.
| Institution | Papers on the topic | Specialisation |
|---|---|---|
| Università degli Studi di Firenze | 38 | 2.08 |
| Università degli Studi di Padova | 26 | 2.01 |
| CREA – Centro di ricerca Politiche e Bioeconomia | 19 | 1.16 |
| Università degli Studi della Basilicata | 18 | 3.52 |
| Università degli Studi di Perugia | 18 | 2.30 |
| Università degli Studi di Catania | 16 | 0.91 |
| Università degli Studi di Bari Aldo Moro | 14 | 1.01 |
| Alma Mater Studiorum – Università di Bologna | 12 | 0.57 |
| Università degli Studi del Molise | 11 | 2.70 |
| Università degli Studi di Palermo | 11 | 0.85 |
The topics that most often appear in the same papers. The number is the papers in common.