Nargess Memarsadeghi
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Global and Planetary Change
- Artificial Intelligence
- Ecology
- Co-authors
- David M. MountJacqueline Le MoigneNathan S. NetanyahuDavid LeisawitzDennis P. O’LearyJeffrey T. MorisetteVikas C. RaykarRamani Duraiswami
- Topics
- Adaptive optics and wavefront sensing (7 papers)Calibration and Measurement Techniques (5 papers)Stellar, planetary, and galactic studies (4 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Nargess Memarsadeghi
28 papers receiving 263 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 65
- Media Technology 62
- Global and Planetary Change 52
- Artificial Intelligence 46
- Ecology 44
Countries citing papers authored by Nargess Memarsadeghi
This map shows the geographic impact of Nargess Memarsadeghi'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 Nargess Memarsadeghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nargess Memarsadeghi more than expected).
Fields of papers citing papers by Nargess Memarsadeghi
This network shows the impact of papers produced by Nargess Memarsadeghi. 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 Nargess Memarsadeghi. The network helps show where Nargess Memarsadeghi may publish in the future.
Co-authorship network of co-authors of Nargess Memarsadeghi
This figure shows the co-authorship network connecting the top 25 collaborators of Nargess Memarsadeghi. A scholar is included among the top collaborators of Nargess Memarsadeghi 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 Nargess Memarsadeghi. Nargess Memarsadeghi 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 | Predicting Satellite Close Approaches Using Statistical Parameters in the Context of Artificial Intelligence | 1 |
| 3 | Science Data Visualization in AR/VR for Planetary and Earth Science | 1 |
| 4 | 5 | |
| 5 | Search for Dust Around Ceres | 2 |
| 6 | 6 | |
| 7 | Wide-field spatio-spectral interferometry for far-infrared space applications: A progress report | 2 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Educational NASA Computational and Scientific Studies (enCOMPASS) | 1 |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 12 | |
| 20 | 1 |
About Nargess Memarsadeghi
Nargess Memarsadeghi is a scholar working on Instrumentation, Astronomy and Astrophysics and Media Technology, having authored 30 papers that have together received 285 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (7 papers), Calibration and Measurement Techniques (5 papers) and Stellar, planetary, and galactic studies (4 papers). The work is most often cited by research in Media Technology (62 citations), Instrumentation (11 citations) and Computer Vision and Pattern Recognition (65 citations). Nargess Memarsadeghi has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include David M. Mount, Jacqueline Le Moigne, Nathan S. Netanyahu, David Leisawitz, Dennis P. O’Leary, Jeffrey T. Morisette, Vikas C. Raykar, Ramani Duraiswami, Stephen A. Rinehart and Richard G. Lyon. Their work appears in journals such as IEEE Access, Icarus and Computing in Science & Engineering.
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.