Massimo Vieno

5.6k citations
101 papers · 2.7k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Massimo Vieno

96 papers receiving 2.6k citations

Hit Papers

Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM 2.5 air pollution 2021 · 325 citations
3252021202620222024100200300

Peers

Massimo Vieno
Comparison fields: 5 of 150
  • Health, Toxicology and Mutagenesis 1.5k
  • Atmospheric Science 1.2k
  • Environmental Engineering 627
  • Automotive Engineering 445
  • Global and Planetary Change 632
Replace Pengfei Liu with:
Pengfei Liu China
Mukesh Sharma India
Daniel Tong United States
C. Sharma India
U. Dragosits United Kingdom
Xiaohong Xu Canada
Mike Holland United Kingdom
Congrong He Australia
Margarita Evtyugina Portugal
Anthony J. Dore United Kingdom
Massimo Vieno relative to Pengfei Liu China Pengfei Liu's profile →
Citations per field
00.5×1.5×2.5×
Pengfei Liu · 1×
Citations per year

Countries citing papers authored by Massimo Vieno

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Vieno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20244
6 20242
7 20242
8 20231
9 20234
10 20238
11 202233
12 202140
13 201810
14 20188
15
Performance of the JULES land surface model for UK Biogenic VOC emissions
20172
16 201657
17 20142
18 201325
19 200931
20 200871

About Massimo Vieno

Massimo Vieno is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Automotive Engineering, Process Chemistry and Technology and Global and Planetary Change, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (62 papers), Atmospheric chemistry and aerosols (58 papers), Vehicle emissions and performance (24 papers), Atmospheric and Environmental Gas Dynamics (21 papers), Climate Change and Health Impacts (17 papers), Atmospheric Ozone and Climate (8 papers), Soil and Water Nutrient Dynamics (7 papers) and Air Quality Monitoring and Forecasting (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.5k citations), Atmospheric Science (1.2k citations), Environmental Engineering (627 citations), Automotive Engineering (445 citations) and Global and Planetary Change (632 citations). Massimo Vieno has collaborated with scholars based in United Kingdom, Sweden and Norway. Frequent co-authors include Mathew R. Heal, Stefan Reis, Mark A. Sutton, Ruth M. Doherty, Anthony J. Dore, David S. Stevenson, U. Dragosits, Eiko Nemitz, S. Hallsworth and Edward Carnell. Their work appears in journals such as Atmospheric chemistry and physics, Environment International, Atmospheric Environment, Environmental Research and Geoscientific model development.

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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