Mohamed Omran
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.5%
- Automotive Engineering top 1%
- Aerospace Engineering top 1%
- Media Technology top 0.5%
- Co-authors
- Bernt SchieleRodrigo BenensonSebastian RamosMarkus EnzweilerStefan RothUwe FrankeMarius CordtsTimo Rehfeld
- Topics
- Advanced Neural Network Applications (6 papers)Video Surveillance and Tracking Methods (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingOral Radiology
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Mohamed Omran
10 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 6.3k
- Artificial Intelligence 2.5k
- Automotive Engineering 842
- Aerospace Engineering 787
- Media Technology 683
Countries citing papers authored by Mohamed Omran
This map shows the geographic impact of Mohamed Omran'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 Mohamed Omran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Omran more than expected).
Fields of papers citing papers by Mohamed Omran
This network shows the impact of papers produced by Mohamed Omran. 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 Mohamed Omran. The network helps show where Mohamed Omran may publish in the future.
Co-authorship network of co-authors of Mohamed Omran
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Omran. A scholar is included among the top collaborators of Mohamed Omran 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 Mohamed Omran. Mohamed Omran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 137 | |
| 4 | 58 | |
| 5 | How Far are We from Solving Pedestrian Detection?breakdown → | 276 |
| 6 | 29 | |
| 7 | The Cityscapes Dataset for Semantic Urban Scene Understandingbreakdown → | 6909 |
| 8 | 188 | |
| 9 | The Cityscapes Dataset | 63 |
| 10 | 83 |
About Mohamed Omran
Mohamed Omran is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery and Artificial Intelligence, having authored 10 papers that have together received 7.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.3k citations), Artificial Intelligence (2.5k citations) and Media Technology (683 citations). Mohamed Omran has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Bernt Schiele, Rodrigo Benenson, Sebastian Ramos, Markus Enzweiler, Stefan Roth, Uwe Franke, Marius Cordts, Timo Rehfeld, Jan Hosang and Shanshan Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Oral Radiology.
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.