Massimo Raboni

1.4k citations
59 papers · 1.2k · h-index 22

Impact in

Papers in

Massimo Raboni

58 papers receiving 1.2k citations

Peers

Massimo Raboni
Comparison fields: 5 of 105
  • Industrial and Manufacturing Engineering 447
  • Process Chemistry and Technology 105
  • Pollution 361
  • Water Science and Technology 281
  • Environmental Engineering 202
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Jae K. Park United States
Ziyang Lou China
Dangcong Peng China
Ziyang Lou China
Juan Manuel Morgan‐Sagastume Mexico
Matthias Barjenbruch Germany
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Jan Bartáček Czechia
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Citations per year

Countries citing papers authored by Massimo Raboni

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Raboni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015108
2 201768
3 201466
4 201660
5 201454
6 201443
7 201341
8 201440
9 201339
10 201336
11 201636
12 201635
13 201333
14 201331
15 201431
16 201329
17 202124
18 201424
19 201424
20 201423

About Massimo Raboni

Massimo Raboni is a scholar working on Pollution, Industrial and Manufacturing Engineering, Health, Toxicology and Mutagenesis, Process Chemistry and Technology and Biomedical Engineering, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (22 papers), Constructed Wetlands for Wastewater Treatment (11 papers), Odor and Emission Control Technologies (10 papers), Water Treatment and Disinfection (7 papers), Risk and Safety Analysis (6 papers), Vehicle emissions and performance (5 papers), Wastewater Treatment and Reuse (5 papers) and Municipal Solid Waste Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (447 citations), Process Chemistry and Technology (105 citations), Pollution (361 citations), Water Science and Technology (281 citations) and Environmental Engineering (202 citations). Massimo Raboni has collaborated with scholars based in Italy, Romania and Czechia. Frequent co-authors include Vincenzo Torretta, Paolo Viotti, Giordano Urbini, Andrea G. Capodaglio, Petr Hlavínek, Sabrina Copelli, Elena Cristina Rada, Renato Gavasci, Marco Ragazzi and Marco Petrangeli Papini. Their work appears in journals such as Sustainability, Environmental Technology, Environmental Science and Pollution Research, Waste Management and Water Science & 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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