Noha Radwan
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Islamic Studies and History 5
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- Linguistic, Cultural, and Literary Studies 2
- Co-authors
- Mehdi S. M. Sajjadi (2 shared papers)Michael Niemeyer (1 shared paper)Jonathan T. Barron (1 shared paper)Ben Mildenhall (1 shared paper)Andreas Geiger (1 shared paper)Urs Bergmann (1 shared paper)Daniel Duckworth (1 shared paper)Jakob Uszkoreit (1 shared paper)
- Journals
- Journal of Palestine Studies (2 papers)NOVEL A Forum on Fiction (1 paper)Journal of Arabic Literature (1 paper)Palgrave Macmillan US eBooks (2 papers)Journal of Bioscience and Applied Research (1 paper)
- Partner nations
- United StatesGermanyEgypt
In The Last Decade
Noha Radwan
10 papers receiving 476 citations
Noha Radwan's Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Graphics and Computer-Aided Design 243
- Computer Vision and Pattern Recognition 403
- Computational Mechanics 157
- Geology 42
- Aerospace Engineering 74
Countries citing papers authored by Noha Radwan
This map shows the geographic impact of Noha Radwan'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 Noha Radwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noha Radwan more than expected).
Fields of papers citing papers by Noha Radwan
This network shows the impact of papers produced by Noha Radwan. 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 Noha Radwan. The network helps show where Noha Radwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Noha Radwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs Hit paper breakdown → | 2022 | 362 |
| 2 | 2022 | 85 | |
| 3 | 2016 | 25 | |
| 4 | 2019 | 6 | |
| 5 | 2012 | 3 | |
| 6 | 2012 | 3 | |
| 7 | 2008 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2011 | 0 | |
| 12 | 2011 | 0 | |
| 13 | 2019 | 0 |
About Noha Radwan
Noha Radwan is a scholar working on Political Science and International Relations, Sociology and Political Science, Computer Vision and Pattern Recognition, Literature and Literary Theory and Computer Graphics and Computer-Aided Design, having authored 13 papers that have together received 490 indexed citations. Recurring topics across this work include Islamic Studies and History (5 papers), Linguistic, Cultural, and Literary Studies (2 papers), Advanced Vision and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Postcolonial and Cultural Literary Studies (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (243 citations), Computer Vision and Pattern Recognition (403 citations), Computational Mechanics (157 citations), Geology (42 citations) and Aerospace Engineering (74 citations). Noha Radwan has collaborated with scholars based in United States, Germany and Egypt. Frequent co-authors include Mehdi S. M. Sajjadi, Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Andreas Geiger, Urs Bergmann, Daniel Duckworth, Jakob Uszkoreit, Etienne Pot and Thomas Funkhouser. Their work appears in journals such as Journal of Palestine Studies, NOVEL A Forum on Fiction, Journal of Arabic Literature, Palgrave Macmillan US eBooks and Journal of Bioscience and Applied Research.
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.