Pasquale Coscia
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Ocean Engineering top 10%
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Lamberto BallanF. PalmieriSimone CalderaraRita CucchiaraPaolo BracaLeonardo M. MillefioriPeter WillettFrancesco Castaldo
- Topics
- Anomaly Detection Techniques and Applications (5 papers)Autonomous Vehicle Technology and Safety (4 papers)Remote-Sensing Image Classification (4 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Industrial InformaticsIEEE Transactions on Aerospace and Electronic Systems
- Partner nations
- ItalyChinaUnited States
In The Last Decade
Pasquale Coscia
15 papers receiving 226 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 98
- Automotive Engineering 94
- Artificial Intelligence 91
- Ocean Engineering 64
- Safety, Risk, Reliability and Quality 47
Countries citing papers authored by Pasquale Coscia
This map shows the geographic impact of Pasquale Coscia'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 Pasquale Coscia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Coscia more than expected).
Fields of papers citing papers by Pasquale Coscia
This network shows the impact of papers produced by Pasquale Coscia. 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 Pasquale Coscia. The network helps show where Pasquale Coscia may publish in the future.
Co-authorship network of co-authors of Pasquale Coscia
This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Coscia. A scholar is included among the top collaborators of Pasquale Coscia 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 Pasquale Coscia. Pasquale Coscia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 41 | |
| 13 | 36 | |
| 14 | 6 | |
| 15 | 20 | |
| 16 | 16 | |
| 17 | 62 | |
| 18 | 6 | |
| 19 | 29 | |
| 20 | Point-based path prediction from polar histograms | 9 |
About Pasquale Coscia
Pasquale Coscia is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 20 papers that have together received 233 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Automotive Engineering (94 citations), Safety, Risk, Reliability and Quality (47 citations) and Computer Vision and Pattern Recognition (98 citations). Pasquale Coscia has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Lamberto Ballan, F. Palmieri, Simone Calderara, Rita Cucchiara, Paolo Braca, Leonardo M. Millefiori, Peter Willett, Francesco Castaldo, Silvio Savarese and Alexandre Alahi. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Industrial Informatics and IEEE Transactions on Aerospace and Electronic Systems.
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.