Flavia Causa

544 citations
56 papers · 386 · h-index 11

Impact in

Papers in

Flavia Causa

49 papers receiving 379 citations

Peers

Flavia Causa
Comparison fields: 5 of 57
  • Aerospace Engineering 284
  • Computer Vision and Pattern Recognition 143
  • Media Technology 31
  • Geology 16
  • Automotive Engineering 24
Replace Frederik Stendahl Leira with:
Frederik Stendahl Leira Norway
Jongmin Jeong South Korea
Allen Wu United States
Timo Hinzmann Switzerland
Yi Dong China
Yuanfa Ji China
Waqas Sultani Pakistan
Sheng-Wei Huang Taiwan
Yingying Kong China
Flavia Causa relative to Frederik Stendahl Leira Norway Frederik Stendahl Leira's profile →
Citations per field
00.5×4.5×
Frederik Stendahl Leira · 1×
Citations per year

Countries citing papers authored by Flavia Causa

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Causa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 202038
3 200435
4 202131
5 201830
6 201820
7 202217
8 202211
9 201811
10 201811
11 202410
12 20198
13 20218
14 20197
15 20217
16 20066
17 20195
18 20225
19 20225
20 20175

About Flavia Causa

Flavia Causa is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Environmental Engineering, having authored 56 papers that have together received 386 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Air Traffic Management and Optimization (17 papers), Robotic Path Planning Algorithms (15 papers), UAV Applications and Optimization (12 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Inertial Sensor and Navigation (9 papers), GNSS positioning and interference (5 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Aerospace Engineering (284 citations), Computer Vision and Pattern Recognition (143 citations), Media Technology (31 citations), Geology (16 citations) and Automotive Engineering (24 citations). Flavia Causa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giancarmine Fasano, Michele Grassi, Roberto Opromolla, Sebastiano B. Serpico, Amedeo Rodi Vetrella, Domenico Accardo, Alfredo Renga, Gabriele Moser, Michela Longo and Silvia Siri. Their work appears in journals such as Sensors, Aerospace Science and Technology, IEEE Transactions on Aerospace and Electronic Systems, Acta Astronautica and GPS Solutions.

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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