I. El-Naqa
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 2
- Medical Image Segmentation Techniques 2
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- AI in cancer detection 5
- Co-authors
- Robert M. Nishikawa (4 shared papers)Yongyi Yang (1 shared paper)Miles N. Wernick (5 shared papers)Yan Yang (1 shared paper)Yongyi Yang (4 shared papers)N.P. Galatsanos (2 shared papers)Imran Zoberi (1 shared paper)Matthew A. Powell (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)IEEE Transactions on Medical Imaging (2 papers)2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) (1 paper)Proceedings - International Conference on Image Processing (1 paper)
- Partner nations
- United StatesGreece
In The Last Decade
I. El-Naqa
9 papers receiving 640 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 376
- Artificial Intelligence 381
- Radiology, Nuclear Medicine and Imaging 172
- Media Technology 54
- Health Informatics 7
Countries citing papers authored by I. El-Naqa
This map shows the geographic impact of I. El-Naqa'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 I. El-Naqa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. El-Naqa more than expected).
Fields of papers citing papers by I. El-Naqa
This network shows the impact of papers produced by I. El-Naqa. 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 I. El-Naqa. The network helps show where I. El-Naqa may publish in the future.
Co-authors
The 22 scholars most cited alongside I. El-Naqa, 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 | 2002 | 423 | |
| 2 | 2004 | 197 | |
| 3 | 2006 | 30 | |
| 4 | 2003 | 22 | |
| 5 | 2004 | 9 | |
| 6 | 2003 | 8 | |
| 7 | 2002 | 6 | |
| 8 | 2004 | 3 | |
| 9 | 2004 | 1 |
About I. El-Naqa
I. El-Naqa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 9 papers that have together received 699 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Image Retrieval and Classification Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Radiotherapy Techniques (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Medical Image Segmentation Techniques (2 papers) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Artificial Intelligence (381 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Media Technology (54 citations) and Health Informatics (7 citations). I. El-Naqa has collaborated with scholars based in United States and Greece. Frequent co-authors include Robert M. Nishikawa, Yongyi Yang, Miles N. Wernick, Yan Yang, Yongyi Yang, N.P. Galatsanos, Imran Zoberi, Matthew A. Powell, Jason D. Wright and Perry W. Grigsby. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) and Proceedings - International Conference on Image Processing.
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.