Massimo Cassiani

2.6k citations
43 papers · 1.2k · h-index 21

Impact in

Papers in

Massimo Cassiani

41 papers receiving 1.2k citations

Peers

Massimo Cassiani
Comparison fields: 5 of 75
  • Environmental Engineering 524
  • Atmospheric Science 624
  • Global and Planetary Change 542
  • Health, Toxicology and Mutagenesis 299
  • Computational Mechanics 331
Replace D. Anfossi with:
D. Anfossi Italy
Ashok K. Luhar Australia
Paolo Monti Italy
A. P. van Ulden Netherlands
P. C. Manins Australia
K. Heinke Schlünzen Germany
Ekaterina Batchvarova Bulgaria
Tamás Weidinger Hungary
J. Wieringa Netherlands
W. L. Physick Australia
Massimo Cassiani relative to D. Anfossi Italy D. Anfossi's profile →
Citations per field
00.5×2.8×
D. Anfossi · 1×
Citations per year

Countries citing papers authored by Massimo Cassiani

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Cassiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013260
2 2007109
3 201385
4 200578
5 201449
6 201738
7 200536
8 200935
9 202035
10 200629
11 200928
12 201027
13 200627
14 200725
15 200825
16 201824
17 201123
18 200223
19 201322
20 201021

About Massimo Cassiani

Massimo Cassiani is a scholar working on Environmental Engineering, Computational Mechanics, Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (15 papers), Fluid Dynamics and Turbulent Flows (13 papers), Atmospheric chemistry and aerosols (12 papers), Combustion and flame dynamics (9 papers), Plant Water Relations and Carbon Dynamics (7 papers), Particle Dynamics in Fluid Flows (5 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Environmental Engineering (524 citations), Atmospheric Science (624 citations), Global and Planetary Change (542 citations), Health, Toxicology and Mutagenesis (299 citations) and Computational Mechanics (331 citations). Massimo Cassiani has collaborated with scholars based in Norway, United States and Italy. Frequent co-authors include J. D. Albertson, A. Stohl, U. Giostra, Pasquale Franzese, Gabriel G. Katul, J. Brioude, Ignacio Pisso, Sabine Eckhardt, Jing Huang and W. M. Angevine. Their work appears in journals such as Boundary-Layer Meteorology, Atmospheric Environment, Atmospheric measurement techniques, Geoscientific model development and Atmospheric chemistry and physics.

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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