Essam Debie
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Co-authors
- Nour MoustafaKamran ShafiAbdul WahabHasnat KhurshidWaqas HaiderKathryn KasmarikMatthew GarrattHussein A. Abbass
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Evolutionary Algorithms and Applications (7 papers)Viral Infectious Diseases and Gene Expression in Insects (6 papers)
In The Last Decade
Essam Debie
17 papers receiving 571 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 239
- Computer Networks and Communications 216
- Signal Processing 136
- Cognitive Neuroscience 121
- Social Psychology 93
Countries citing papers authored by Essam Debie
This map shows the geographic impact of Essam Debie'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 Essam Debie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Essam Debie more than expected).
Fields of papers citing papers by Essam Debie
This network shows the impact of papers produced by Essam Debie. 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 Essam Debie. The network helps show where Essam Debie may publish in the future.
Co-authorship network of co-authors of Essam Debie
This figure shows the co-authorship network connecting the top 25 collaborators of Essam Debie. A scholar is included among the top collaborators of Essam Debie 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 Essam Debie. Essam Debie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 28 | |
| 4 | 4 | |
| 5 | 58 | |
| 6 | A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directionsbreakdown → | 215 |
| 7 | 21 | |
| 8 | 28 | |
| 9 | 124 | |
| 10 | 6 | |
| 11 | 57 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 3 |
About Essam Debie
Essam Debie is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Networks and Communications, having authored 18 papers that have together received 586 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Signal Processing (136 citations), Computer Networks and Communications (216 citations) and Artificial Intelligence (239 citations). Essam Debie has collaborated with scholars based in Australia, Egypt and Pakistan. Frequent co-authors include Nour Moustafa, Kamran Shafi, Abdul Wahab, Hasnat Khurshid, Waqas Haider, Kathryn Kasmarik, Matthew Garratt, Hussein A. Abbass, Raul Fernandez Rojas and Michael Barlow. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Cybernetics and Frontiers in Neuroscience.
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.