Massimo Cassiani

2.6k total citations
42 papers, 1.2k citations indexed

About

Massimo Cassiani is a scholar working on Environmental Engineering, Computational Mechanics and Atmospheric Science. According to data from OpenAlex, Massimo Cassiani has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Environmental Engineering, 21 papers in Computational Mechanics and 20 papers in Atmospheric Science. Recurrent topics in Massimo Cassiani's work include Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (15 papers) and Fluid Dynamics and Turbulent Flows (13 papers). Massimo Cassiani is often cited by papers focused on Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (15 papers) and Fluid Dynamics and Turbulent Flows (13 papers). Massimo Cassiani collaborates with scholars based in Norway, United States and Italy. Massimo Cassiani's co-authors include J. D. Albertson, A. Stohl, U. Giostra, Pasquale Franzese, Gabriel G. Katul, J. Brioude, Ignacio Pisso, Sabine Eckhardt, Jing Huang and J. D. Fast and has published in prestigious journals such as The Science of The Total Environment, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Massimo Cassiani

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Cassiani Norway 21 619 537 520 330 298 42 1.2k
Paolo Monti Italy 18 463 0.7× 396 0.7× 787 1.5× 162 0.5× 210 0.7× 75 1.2k
Ashok K. Luhar Australia 22 800 1.3× 761 1.4× 921 1.8× 206 0.6× 520 1.7× 59 1.7k
William T. Pennell United States 13 767 1.2× 658 1.2× 430 0.8× 238 0.7× 182 0.6× 18 1.2k
D. Anfossi Italy 24 1.1k 1.8× 706 1.3× 1.2k 2.3× 408 1.2× 366 1.2× 117 1.8k
P. C. Manins Australia 17 602 1.0× 353 0.7× 347 0.7× 128 0.4× 179 0.6× 37 1.0k
A. P. van Ulden Netherlands 10 746 1.2× 714 1.3× 600 1.2× 126 0.4× 186 0.6× 15 1.2k
Sebastian W. Hoch United States 22 1.4k 2.3× 1.2k 2.2× 582 1.1× 71 0.2× 369 1.2× 70 1.7k
Ricardo C. Muñoz Chile 20 784 1.3× 624 1.2× 207 0.4× 46 0.1× 234 0.8× 42 1.1k
Ekaterina Batchvarova Bulgaria 22 1.1k 1.8× 852 1.6× 1.1k 2.1× 148 0.4× 227 0.8× 61 1.7k
W. L. Physick Australia 19 606 1.0× 449 0.8× 333 0.6× 52 0.2× 206 0.7× 36 892

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-authorship network of co-authors of Massimo Cassiani

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Cassiani. A scholar is included among the top collaborators of Massimo Cassiani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Cassiani. Massimo Cassiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
D'Andrea, W. J., Manon Bajard, Sabine Eckhardt, et al.. (2025). 2000 years of climate, environmental, and societal variability in southeastern Norway from the annually laminated sediments of Lake Sagtjernet. Quaternary Science Reviews. 354. 109232–109232.
2.
Cassiani, Massimo, Ignacio Pisso, Pietro Salizzoni, et al.. (2024). The dynamics of concentration fluctuations within passive scalar plumes in a turbulent neutral boundary layer. Journal of Fluid Mechanics. 1001. 1 indexed citations
3.
Gao, Jing, et al.. (2023). A Precipitation Isotopic Response in 2014–2015 to Moisture Transport Changes in the Central Himalayas. Journal of Geophysical Research Atmospheres. 128(13). 8 indexed citations
4.
Pirk, Norbert, Kristoffer Aalstad, Sebastian Westermann, et al.. (2022). Inferring surface energy fluxes using drone data assimilation in large eddy simulations. Atmospheric measurement techniques. 15(24). 7293–7314. 11 indexed citations
5.
7.
Cassiani, Massimo, Matteo B. Bertagni, Massimo Marro, & Pietro Salizzoni. (2020). Concentration Fluctuations from Localized Atmospheric Releases. Boundary-Layer Meteorology. 177(2-3). 461–510. 31 indexed citations
8.
Kylling, Arve, Massimo Cassiani, Soon-Young Park, et al.. (2020). Can statistics of turbulent tracer dispersion be inferred from camera observations of SO 2 in the ultraviolet? A modelling study. Atmospheric measurement techniques. 13(6). 3303–3318. 1 indexed citations
9.
Stebel, Kerstin, Massimo Cassiani, Arve Kylling, et al.. (2018). Observation of turbulent dispersion of artificially released SO 2 puffs with UV cameras. Atmospheric measurement techniques. 11(11). 6169–6188. 7 indexed citations
10.
Eckhardt, Sabine, Massimo Cassiani, Nikolaos Evangeliou, et al.. (2017). Source–receptor matrix calculation for deposited mass with the Lagrangian particle dispersion model FLEXPART v10.2 in backward mode. Geoscientific model development. 10(12). 4605–4618. 38 indexed citations
11.
Vogel, A., Rory Clarkson, A. J. Durant, Massimo Cassiani, & A. Stohl. (2016). Volcanic ash ingestion by a large gas turbine aeroengine: fan-particle interaction. EGU General Assembly Conference Abstracts. 1 indexed citations
12.
Cassiani, Massimo, A. Stohl, Dirk Olivié, et al.. (2016). The offline Lagrangian particle model FLEXPART–NorESM/CAM (v1): model description and comparisons with the online NorESM transport scheme and with the reference FLEXPART model. Geoscientific model development. 9(11). 4029–4048. 12 indexed citations
13.
Eckhardt, Sabine, Ove Hermansen, Henrik Grythe, et al.. (2013). The influence of cruise ship emissions on air pollution in Svalbard – a harbinger of a more polluted Arctic?. Atmospheric chemistry and physics. 13(16). 8401–8409. 85 indexed citations
14.
Cassiani, Massimo, A. Stohl, & Sabine Eckhardt. (2013). The dispersion characteristics of air pollution from the world's megacities. Atmospheric chemistry and physics. 13(19). 9975–9996. 22 indexed citations
15.
Brioude, J., Dèlia Arnold, A. Stohl, et al.. (2013). The Lagrangian particle dispersion model FLEXPART-WRF version 3.1. Geoscientific model development. 6(6). 1889–1904. 256 indexed citations
16.
Porporato, Amilcare, Peter R. Kramer, Massimo Cassiani, Edoardo Daly, & Jonathan C. Mattingly. (2011). Local kinetic interpretation of entropy production through reversed diffusion. Physical Review E. 84(4). 41142–41142. 2 indexed citations
17.
Cassiani, Massimo, J.‐F. Vinuesa, Stefano Galmarini, & Bruce Denby. (2010). Stochastic fields method for sub-grid scale emission heterogeneity in mesoscale atmospheric dispersion models. Atmospheric chemistry and physics. 10(1). 267–277. 21 indexed citations
18.
Denby, Bruce, et al.. (2010). Spatial Mapping of Ozone and SO2 Trends in Europe. The Science of The Total Environment. 408(20). 4795–4806. 27 indexed citations
19.
Kim, Tae‐Yeon, Massimo Cassiani, J. D. Albertson, et al.. (2009). Impact of the inherent separation of scales in the Navier–Stokes-αβequations. Physical Review E. 79(4). 45307–45307. 10 indexed citations
20.
Cassiani, Massimo & U. Giostra. (1999). Eulerian-Lagrangian modelling of dispersion in a convective boundary layer. CINECA IRIS Institutional Research information system (University of Urbino). 1 indexed citations

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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