L. Cinquini

42 papers receiving 819 citations

Peers

L. Cinquini
Comparison fields: 5 of 91
  • Information Systems and Management 298
  • Computer Networks and Communications 321
  • Atmospheric Science 238
  • Global and Planetary Change 273
  • Information Systems 198
Replace Sandro Fiore with:
Sandro Fiore Italy
Cecelia DeLuca United States
Chris A. Mattmann United States
C. A. Mattmann United States
R. K. Rew United States
Don Middleton United States
Daniel Q. Duffy United States
Jon Blower United Kingdom
Meixia Deng United States
Philip Kershaw United Kingdom
L. Cinquini relative to Sandro Fiore Italy Sandro Fiore's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Cinquini

Since Specialization
Citations

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

Fields of papers citing papers by L. Cinquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013175
2 2005125
3 201872
4 200950
5 200233
6 200532
7 201531
8 201229
9
The virtual solar-terrestrial observatory: a deployed semantic web application case study for scientific research
200728
10 200326
11 200825
12 201625
13 200623
14 202016
15 200616
16 200615
17 200114
18 200112
19 201610
20 201110

About L. Cinquini

L. Cinquini is a scholar working on Information Systems and Management, Computer Networks and Communications, Global and Planetary Change, Artificial Intelligence and Information Systems, having authored 44 papers that have together received 863 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (29 papers), Distributed and Parallel Computing Systems (26 papers), Advanced Data Storage Technologies (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers), Service-Oriented Architecture and Web Services (5 papers), Computational Physics and Python Applications (4 papers), Climate variability and models (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Information Systems and Management (298 citations), Computer Networks and Communications (321 citations), Atmospheric Science (238 citations), Global and Planetary Change (273 citations) and Information Systems (198 citations). L. Cinquini has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter Fox, D. N. Williams, José María García, Don Middleton, Deborah L. McGuinness, Patrick West, Daniel Crichton, Neill Miller, Chris A. Mattmann and R. E. Shetter. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Big Data, International Journal of Environmental Research and Public Health, Cancer Biomarkers and IEEE Geoscience and Remote Sensing Magazine.

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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