Heba G. Mohamed
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Co-authors
- Dalia H. ElkamchouchiYazeed Yasin GhadiNitin GoyalIrene Delgado NoyaDivya AnandInam UllahMuhammad AssamNorah Alwadai
- Topics
- Network Security and Intrusion Detection (8 papers)IoT and Edge/Fog Computing (7 papers)Advanced Malware Detection Techniques (7 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- Saudi ArabiaEgyptPakistan
In The Last Decade
Heba G. Mohamed
65 papers receiving 666 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 147
- Electrical and Electronic Engineering 128
- Computer Networks and Communications 101
- Aerospace Engineering 76
Countries citing papers authored by Heba G. Mohamed
This map shows the geographic impact of Heba G. Mohamed'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 Heba G. Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba G. Mohamed more than expected).
Fields of papers citing papers by Heba G. Mohamed
This network shows the impact of papers produced by Heba G. Mohamed. 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 Heba G. Mohamed. The network helps show where Heba G. Mohamed may publish in the future.
Co-authorship network of co-authors of Heba G. Mohamed
This figure shows the co-authorship network connecting the top 25 collaborators of Heba G. Mohamed. A scholar is included among the top collaborators of Heba G. Mohamed 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 Heba G. Mohamed. Heba G. Mohamed 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 | 0 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 40 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 32 | |
| 13 | 22 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | Advanced DNA Mapping Schemes for Exon Prediction Using Digital Filters | 13 |
About Heba G. Mohamed
Heba G. Mohamed is a scholar working on Computer Networks and Communications, Health Informatics and Signal Processing, having authored 73 papers that have together received 695 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (7 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Health Informatics (10 citations) and Neurology (51 citations). Heba G. Mohamed has collaborated with scholars based in Saudi Arabia, Egypt and Pakistan. Frequent co-authors include Dalia H. Elkamchouchi, Yazeed Yasin Ghadi, Nitin Goyal, Irene Delgado Noya, Divya Anand, Inam Ullah, Muhammad Assam, Norah Alwadai, Ahmed S. I. Amar and Aftab Ahmed. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.