Carlo Ciulla
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Cognitive Neuroscience
- Epidemiology
- Co-authors
- Muhammad AyazE. Mark HaackeAsadullah KhanWolff M. KirschFloyd PetersenHiroshi EndôTsunehiro TakedaFadi P. Deek
- Topics
- Medical Image Segmentation Techniques (14 papers)Advanced MRI Techniques and Applications (13 papers)Image and Signal Denoising Methods (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaMagnetic Resonance in MedicineJournal of Magnetic Resonance Imaging
- Partner nations
- AlbaniaUnited StatesJapan
In The Last Decade
Carlo Ciulla
32 papers receiving 397 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 259
- Computer Vision and Pattern Recognition 94
- Neurology 77
- Cognitive Neuroscience 66
- Epidemiology 32
Countries citing papers authored by Carlo Ciulla
This map shows the geographic impact of Carlo Ciulla'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 Carlo Ciulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Ciulla more than expected).
Fields of papers citing papers by Carlo Ciulla
This network shows the impact of papers produced by Carlo Ciulla. 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 Carlo Ciulla. The network helps show where Carlo Ciulla may publish in the future.
Co-authorship network of co-authors of Carlo Ciulla
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Ciulla. A scholar is included among the top collaborators of Carlo Ciulla 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 Carlo Ciulla. Carlo Ciulla 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 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | Design and Development of an Android Accounting Application Using Web Services and Quality of Experience for Mobile Computing | 0 |
| 13 | On the Intensity-Curvature Functional of the Bivariate Linear Function: The Third Dimension of Magnetic Resonance 2D Images in a Tumor Case Study | 6 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 55 | |
| 19 | 201 | |
| 20 | 46 |
About Carlo Ciulla
Carlo Ciulla is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 39 papers that have together received 444 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Advanced MRI Techniques and Applications (13 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (259 citations), Neurology (77 citations) and Computer Vision and Pattern Recognition (94 citations). Carlo Ciulla has collaborated with scholars based in Albania, United States and Japan. Frequent co-authors include Muhammad Ayaz, E. Mark Haacke, Asadullah Khan, Wolff M. Kirsch, Floyd Petersen, Hiroshi Endô, Tsunehiro Takeda, Fadi P. Deek, E. Mark Haacke and Meng Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Magnetic Resonance in Medicine and Journal of Magnetic Resonance Imaging.
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.