Ahmed Serag
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- Neonatal and fetal brain pathology 17
- Fetal and Pediatric Neurological Disorders 9
- Infant Development and Preterm Care 3
- Health Informatics top 5%
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- Advanced Neuroimaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 5
- Cognitive Neuroscience top 10%
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- Medical Image Segmentation Techniques 9
- Advanced Neural Network Applications 3
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- AI in cancer detection 3
- Co-authors
- James P. BoardmanJoseph V. HajnalSerena J. CounsellDaniel RueckertPaul AljabarA. David EdwardsMary RutherfordIoannis S. Gousias
- Cited by
- Pediatrics, Perinatology and Child HealthHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterología (1 paper)NeuroImage (3 papers)PEDIATRICS (1 paper)
- Partner nations
- United KingdomQatarUnited States
In The Last Decade
Ahmed Serag
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Pediatrics, Perinatology and Child Health 854
- Health Informatics 40
- Radiology, Nuclear Medicine and Imaging 513
- Cognitive Neuroscience 237
- Computer Vision and Pattern Recognition 238
Countries citing papers authored by Ahmed Serag
This map shows the geographic impact of Ahmed Serag'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 Ahmed Serag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Serag more than expected).
Fields of papers citing papers by Ahmed Serag
This network shows the impact of papers produced by Ahmed Serag. 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 Ahmed Serag. The network helps show where Ahmed Serag may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ahmed Serag, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2019 | 168 | |
| 10 | 2018 | 90 | |
| 11 | 2017 | 12 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 33 | |
| 14 | 2016 | 87 | |
| 15 | 2015 | 13 | |
| 16 | 2014 | 21 | |
| 17 | 2014 | 37 | |
| 18 | A Four-dimensional Atlas of Neonatal Brain MRI. | 2011 | 1 |
| 19 | 2011 | 216 | |
| 20 | 2010 | 214 |
About Ahmed Serag
Ahmed Serag is a scholar working on Pediatrics, Perinatology and Child Health, Health Informatics and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (17 papers), Medical Image Segmentation Techniques (9 papers), Fetal and Pediatric Neurological Disorders (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Infant Development and Preterm Care (3 papers), AI in cancer detection (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (854 citations), Health Informatics (40 citations) and Radiology, Nuclear Medicine and Imaging (513 citations). Ahmed Serag has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include James P. Boardman, Joseph V. Hajnal, Serena J. Counsell, Daniel Rueckert, Paul Aljabar, A. David Edwards, Mary Rutherford, Ioannis S. Gousias, Scott I. Semple and Christian Ledig. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and PEDIATRICS.
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.