Maria Cornacchia
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Senem VelipasalarYu ZhengKoray ÖzcanErik BlaschMike J. McLaughlinMark AlfordDaniel P. MurphyMichael Reale
- Topics
- Advanced Image Fusion Techniques (6 papers)Image and Signal Denoising Methods (4 papers)Advanced Image Processing Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Networks and Communications
- Partner nations
- United States
In The Last Decade
Maria Cornacchia
16 papers receiving 377 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 255
- Biomedical Engineering 116
- Computer Networks and Communications 82
- Artificial Intelligence 71
- Electrical and Electronic Engineering 47
Countries citing papers authored by Maria Cornacchia
This map shows the geographic impact of Maria Cornacchia'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 Maria Cornacchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Cornacchia more than expected).
Fields of papers citing papers by Maria Cornacchia
This network shows the impact of papers produced by Maria Cornacchia. 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 Maria Cornacchia. The network helps show where Maria Cornacchia may publish in the future.
Co-authorship network of co-authors of Maria Cornacchia
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Cornacchia. A scholar is included among the top collaborators of Maria Cornacchia 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 Maria Cornacchia. Maria Cornacchia 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 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | A Survey on Activity Detection and Classification Using Wearable Sensorsbreakdown → | 318 |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 5 |
About Maria Cornacchia
Maria Cornacchia is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (255 citations), Human-Computer Interaction (41 citations) and Computer Networks and Communications (82 citations). Maria Cornacchia has collaborated with scholars based in United States. Frequent co-authors include Senem Velipasalar, Yu Zheng, Koray Özcan, Erik Blasch, Mike J. McLaughlin, Mark Alford, Daniel P. Murphy and Michael Reale. Their work appears in journals such as IEEE Transactions on Image Processing and IEEE Sensors Journal.
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.