Ettore Stella
- Computer Vision and Pattern Recognition top 2%
- Civil and Structural Engineering top 5%
- Mechanical Engineering top 5%
- Industrial and Manufacturing Engineering top 1%
- Aerospace Engineering top 5%
- Co-authors
- Massimiliano NittiA. DistanteTiziana D’OrazioPier Luigi MazzeoFrancescomaria MarinoVito RenòRoberto MaraniArcangelo Distante
- Topics
- Robotics and Sensor-Based Localization (36 papers)Advanced Vision and Imaging (28 papers)Optical measurement and interference techniques (23 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Journals
- The Science of The Total EnvironmentScientific ReportsIEEE Transactions on Industrial Electronics
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Ettore Stella
121 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 607
- Civil and Structural Engineering 388
- Mechanical Engineering 369
- Industrial and Manufacturing Engineering 309
- Aerospace Engineering 243
Countries citing papers authored by Ettore Stella
This map shows the geographic impact of Ettore Stella'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 Ettore Stella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ettore Stella more than expected).
Fields of papers citing papers by Ettore Stella
This network shows the impact of papers produced by Ettore Stella. 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 Ettore Stella. The network helps show where Ettore Stella may publish in the future.
Co-authorship network of co-authors of Ettore Stella
This figure shows the co-authorship network connecting the top 25 collaborators of Ettore Stella. A scholar is included among the top collaborators of Ettore Stella 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 Ettore Stella. Ettore Stella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 19 | |
| 6 | 13 | |
| 7 | 24 | |
| 8 | 40 | |
| 9 | 33 | |
| 10 | 19 | |
| 11 | 29 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 57 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 5 |
About Ettore Stella
Ettore Stella is a scholar working on Computer Vision and Pattern Recognition, Geology and Instrumentation, having authored 133 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (36 papers), Advanced Vision and Imaging (28 papers) and Optical measurement and interference techniques (23 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (309 citations), Computer Vision and Pattern Recognition (607 citations) and Media Technology (196 citations). Ettore Stella has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Massimiliano Nitti, A. Distante, Tiziana D’Orazio, Pier Luigi Mazzeo, Francescomaria Marino, Vito Renò, Roberto Marani, Arcangelo Distante, Nicola Ancona and Grazia Cicirelli. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Industrial Electronics.
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.