Matteo Pecchi

1.4k citations
35 papers · 970 · h-index 18

Impact in

Papers in

Matteo Pecchi

34 papers receiving 953 citations

Peers

Matteo Pecchi
Comparison fields: 5 of 81
  • Ecological Modeling 162
  • Nature and Landscape Conservation 154
  • Industrial and Manufacturing Engineering 89
  • Biomedical Engineering 416
  • Energy Engineering and Power Technology 28
Replace Gillianne Bowman with:
Gillianne Bowman Switzerland
Rahayu Sukmaria Sukri Brunei
Elaine Oneil United States
Frank Hensgen Germany
Shouyu Zhang China
E. M. Pötsch Austria
Diego F. Correa Australia
Chander Shahi Canada
Jianbo Lu China
A. B. Riche United Kingdom
Matteo Pecchi relative to Gillianne Bowman Switzerland Gillianne Bowman's profile →
Citations per field
00.5×10×15×20×24×
Gillianne Bowman · 1×
Citations per year

Countries citing papers authored by Matteo Pecchi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019188
2 2019177
3 201974
4 202263
5 202059
6 202142
7 201939
8 202233
9 201931
10 202127
11 202023
12 202222
13 202022
14 201922
15 201920
16 202319
17 202318
18 202217
19 202216
20 202412

About Matteo Pecchi

Matteo Pecchi is a scholar working on Biomedical Engineering, Mechanical Engineering, Ecology, Nature and Landscape Conservation and Materials Chemistry, having authored 35 papers that have together received 970 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (19 papers), Lignin and Wood Chemistry (9 papers), Catalysis and Hydrodesulfurization Studies (7 papers), Subcritical and Supercritical Water Processes (7 papers), Thermal and Kinetic Analysis (5 papers), Forest ecology and management (3 papers), Forest Insect Ecology and Management (3 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Ecological Modeling (162 citations), Nature and Landscape Conservation (154 citations), Industrial and Manufacturing Engineering (89 citations), Biomedical Engineering (416 citations) and Energy Engineering and Power Technology (28 citations). Matteo Pecchi has collaborated with scholars based in Italy, United States and Indonesia. Frequent co-authors include Marco Baratieri, Gherardo Chirici, Francesca Giannetti, Vittoria Benedetti, Jillian L. Goldfarb, Iacopo Bernetti, Marco Bindi, Marco Moriondo, Maurizio Marchi and Alex R. Maag. Their work appears in journals such as Bioresource Technology, ACS Sustainable Chemistry & Engineering, Forests, Combustion and Flame and Fuel Processing 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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