Francesco Fava

2.5k citations
60 papers · 1.7k indexed · h-index 21
Topics
Remote Sensing in Agriculture (22 papers)Land Use and Ecosystem Services (18 papers)Rangeland Management and Livestock Ecology (13 papers)
Partner nations
ItalyKenyaUnited Kingdom

In The Last Decade

Francesco Fava

56 papers receiving 1.7k citations

Peers

Francesco Fava
Comparison fields: 5 of 103
  • Ecology 881
  • Global and Planetary Change 879
  • Environmental Engineering 353
  • Plant Science 297
  • Atmospheric Science 273
Replace Stuart E. Marsh with:
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Chul-Hee Lim South Korea
Myroslava Lesiv Austria
Álvaro Moreno‐Martínez Spain
Ján Feranec Slovakia
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Citations per field
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Citations per year

Countries citing papers authored by Francesco Fava

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Fava

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Fava. A scholar is included among the top collaborators of Francesco Fava 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 Francesco Fava. Francesco Fava 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 0
2 1
3 0
4 0
5 1
6 6
7 9
8 2
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10
Building financial resilience in pastoral communities in Africa: Lessons learned from implementing the Kenya Livestock Insurance Program (KLIP)
7
11 4
12 6
13 4
14 34
15 45
16
Large and Small Scale Nitrogen and Phosporous Manipulation Experiment in a Tree-Grass Ecosystem: first year of results
2
17 8
18 65
19
Tangafric: a software for the estimation of textural and hydraulic properties in shallow aquifers from well logs in Senegal and Guinea
1
20 17

About Francesco Fava

Francesco Fava is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Land Use and Ecosystem Services (18 papers) and Rangeland Management and Livestock Ecology (13 papers). The work is most often cited by research in Ecological Modeling (202 citations), Global and Planetary Change (879 citations) and Ecology (881 citations). Francesco Fava has collaborated with scholars based in Italy, Kenya and United Kingdom. Frequent co-authors include Roberto Colombo, Giuseppe Pulighe, Michele Meroni, Flavio Lupia, Anton Vrieling, Micol Rossini, Stefano Bocchi, Mirco Migliavacca, António T. Monteiro and Lorenzo Busetto. Their work appears in journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Remote Sensing of Environment.

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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