Davide Moroni

1.6k citations
123 papers · 1.0k · h-index 17

Impact in

Papers in

Davide Moroni

109 papers receiving 973 citations

Peers

Davide Moroni
Comparison fields: 5 of 126
  • Building and Construction 177
  • Computer Vision and Pattern Recognition 239
  • Geology 59
  • Media Technology 92
  • Discrete Mathematics and Combinatorics 26
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Yiting Li China
Shuo Yang China
Nipun D. Nath United States
Liangzhi Li Japan
Abiodun Musa Aibinu Nigeria
Qiang Niu China
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Steven Verstockt Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Davide Moroni

Since Specialization
Citations

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

Fields of papers citing papers by Davide Moroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 202171
3 201866
4 202056
5 201935
6 201733
7 201828
8 201628
9 200824
10 202219
11 201819
12 202218
13 201918
14 201517
15 201517
16 202017
17 201816
18
The K(π, 1) problem for the affine Artin group of type ˜Bn and its cohomology
201015
19 200814
20 202313

About Davide Moroni

Davide Moroni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 123 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), 3D Surveying and Cultural Heritage (9 papers), Robotics and Sensor-Based Localization (9 papers), Smart Parking Systems Research (8 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers), Maritime Navigation and Safety (7 papers) and Cardiovascular Function and Risk Factors (7 papers). The work is most often cited by research in Building and Construction (177 citations), Computer Vision and Pattern Recognition (239 citations), Geology (59 citations), Media Technology (92 citations) and Discrete Mathematics and Combinatorics (26 citations). Davide Moroni has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Ovidio Salvetti, Gabriele Pieri, Marco Tampucci, Maria Antonietta Pascali, Giuseppe Riccardo Leone, Massimo Martinelli, Andrea Berton, Mario D’Acunto, Danila Germanese and Sara Colantonio. Their work appears in journals such as Sensors, Applied Sciences, IEEE Access, Lecture notes in computer science and Marine Pollution Bulletin.

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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