Daniel Gullì

490 citations
29 papers · 313 · h-index 9

Impact in

Papers in

Daniel Gullì

28 papers receiving 310 citations

Peers

Daniel Gullì
Comparison fields: 5 of 55
  • Atmospheric Science 152
  • Health, Toxicology and Mutagenesis 109
  • Environmental Engineering 101
  • Industrial and Manufacturing Engineering 70
  • Global and Planetary Change 125
Replace Frederik Tack with:
Frederik Tack Belgium
Hanyu Zhang China
Joo Wan South Korea
Elsa Dieudonné France
Ingrid Super Netherlands
I. N. Razlivanov United States
Sabrina Wahl Germany
Sema Topçu Türkiye
Xin Tian China
Daniela Palacios‐Lopez Germany
Daniel Gullì relative to Frederik Tack Belgium Frederik Tack's profile →
Citations per field
00.5×10×14×
Frederik Tack · 1×
Citations per year

Countries citing papers authored by Daniel Gullì

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gullì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201454
3 202036
4 201735
5 202316
6 202114
7 201513
8 200813
9 202411
10 20248
11 20227
12 20087
13 20176
14 20254
15 20154
16
The use of remote sensing for discontinuity mapping and analysis in a large marble quarry, Carrara, Italy
20144
17 20242
18 20252
19 20162
20 20252

About Daniel Gullì

Daniel Gullì is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Health, Toxicology and Mutagenesis and Industrial and Manufacturing Engineering, having authored 29 papers that have together received 313 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Atmospheric Ozone and Climate (8 papers), Atmospheric aerosols and clouds (6 papers), Air Quality and Health Impacts (5 papers), Air Quality Monitoring and Forecasting (5 papers), Maritime Ports and Logistics (3 papers) and Wind Energy Research and Development (2 papers). The work is most often cited by research in Atmospheric Science (152 citations), Health, Toxicology and Mutagenesis (109 citations), Environmental Engineering (101 citations), Industrial and Manufacturing Engineering (70 citations) and Global and Planetary Change (125 citations). Daniel Gullì has collaborated with scholars based in Italy, Germany and Denmark. Frequent co-authors include Claudia Roberta Calidonna, Pasquale Legato, Ivano Ammoscato, Rina Mary Mazza, Adelaide Dinoi, Teresa Lo Feudo, Daniele Contini, Elenio Avolio, Angela Marinoni and Paolo Bonasoni. Their work appears in journals such as Atmosphere, Sustainability, Atmospheric Pollution Research, Fire and Computers & Industrial Engineering.

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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