Simone Figorilli

52 papers receiving 1.4k citations

Simone Figorilli's Hit Papers

A review on blockchain applications in the agri‐food sector 2019 · 294 citations
2940+2+4Years since publication50100150200250

Peers

Simone Figorilli
Comparison fields: 5 of 107
  • Food Science 372
  • Information Systems 335
  • Automotive Engineering 99
  • Plant Science 349
  • Analytical Chemistry 96
Replace Federico Pallottino with:
Federico Pallottino Italy
Min Zuo China
Paolo Gay Italy
Xinqing Xiao China
Janna Cropotova Norway
Hana Trollman United Kingdom
Luis Ruiz-García Spain
Dimitrios Katerıs Greece
Cristina Tortia Italy
Pedro Dinis Gaspar Portugal
Simone Figorilli relative to Federico Pallottino Italy Federico Pallottino's profile →
Citations per field
00.5×1.5×
Federico Pallottino · 1×
Citations per year

Countries citing papers authored by Simone Figorilli

Since Specialization
Citations

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

Fields of papers citing papers by Simone Figorilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review on blockchain applications in the agri‐food sector
Hit paper breakdown →
2019294
2 2018182
3 2016136
4 201976
5 201874
6 201971
7 201263
8 202059
9 201940
10 202033
11 202033
12 201528
13 201827
14 202325
15 201524
16 202024
17 201920
18 202520
19 202419
20 202216

About Simone Figorilli

Simone Figorilli is a scholar working on Plant Science, Analytical Chemistry, Food Science, Ecology and Industrial and Manufacturing Engineering, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Smart Agriculture and AI (26 papers), Food Supply Chain Traceability (9 papers), Remote Sensing in Agriculture (8 papers), Spectroscopy and Chemometric Analyses (8 papers), Agricultural Engineering and Mechanization (4 papers), Blockchain Technology Applications and Security (3 papers), Forest Biomass Utilization and Management (3 papers) and Soil Management and Crop Yield (2 papers). The work is most often cited by research in Food Science (372 citations), Information Systems (335 citations), Automotive Engineering (99 citations), Plant Science (349 citations) and Analytical Chemistry (96 citations). Simone Figorilli has collaborated with scholars based in Italy, Spain and Poland. Frequent co-authors include Corrado Costa, Federico Pallottino, Paolo Menesatti, Francesca Antonucci, Simona Violino, Giulio Sperandio, Luciano Ortenzi, Anu Seisto, Liisa Hakola and Andrea Rosario Proto. Their work appears in journals such as Sensors, Foods, Computers and Electronics in Agriculture, Food and Bioprocess Technology and European Food Research and Technology.

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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