Joan Carletta
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Signal Processing top 5%
- Co-authors
- Jiang ZheAshish V. JagtianiRobert J. VeilletteA.E. BellJun HuC. PapachristouSajib BaruaLi Du
- Topics
- Image and Signal Denoising Methods (16 papers)Digital Filter Design and Implementation (13 papers)Advanced Data Compression Techniques (12 papers)
- Journals
- IEEE Signal Processing MagazineReview of Scientific InstrumentsIEEE Transactions on Control Systems Technology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Joan Carletta
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Electrical and Electronic Engineering 463
- Biomedical Engineering 463
- Computer Vision and Pattern Recognition 300
- Mechanical Engineering 241
- Signal Processing 196
Countries citing papers authored by Joan Carletta
This map shows the geographic impact of Joan Carletta'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 Joan Carletta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Carletta more than expected).
Fields of papers citing papers by Joan Carletta
This network shows the impact of papers produced by Joan Carletta. 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 Joan Carletta. The network helps show where Joan Carletta may publish in the future.
Co-authorship network of co-authors of Joan Carletta
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Carletta. A scholar is included among the top collaborators of Joan Carletta 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 Joan Carletta. Joan Carletta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 46 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 45 | |
| 7 | 94 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 9 | |
| 14 | 40 | |
| 15 | 40 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 1 |
About Joan Carletta
Joan Carletta is a scholar working on Architecture, Hardware and Architecture and Signal Processing, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (16 papers), Digital Filter Design and Implementation (13 papers) and Advanced Data Compression Techniques (12 papers). The work is most often cited by research in Hardware and Architecture (129 citations), Signal Processing (196 citations) and Bioengineering (94 citations). Joan Carletta has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jiang Zhe, Ashish V. Jagtiani, Robert J. Veillette, A.E. Bell, Jun Hu, C. Papachristou, Sajib Barua, Li Du, Prashanta Dutta and F. Choy. Their work appears in journals such as IEEE Signal Processing Magazine, Review of Scientific Instruments and IEEE Transactions on Control Systems Technology.
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.