H. M. Faheem
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems top 10%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Mohammed AmoonMahmoud FayezIyad KatibSherine RadyEman ShaabanWail S. ElkilaniMostafa G. M. MostafaMohamed Almorsy
- Topics
- Algorithms and Data Compression (8 papers)Genomics and Phylogenetic Studies (6 papers)Network Security and Intrusion Detection (6 papers)
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
H. M. Faheem
40 papers receiving 190 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 101
- Artificial Intelligence 83
- Information Systems 52
- Electrical and Electronic Engineering 45
- Molecular Biology 24
Countries citing papers authored by H. M. Faheem
This map shows the geographic impact of H. M. Faheem'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 H. M. Faheem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. M. Faheem more than expected).
Fields of papers citing papers by H. M. Faheem
This network shows the impact of papers produced by H. M. Faheem. 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 H. M. Faheem. The network helps show where H. M. Faheem may publish in the future.
Co-authorship network of co-authors of H. M. Faheem
This figure shows the co-authorship network connecting the top 25 collaborators of H. M. Faheem. A scholar is included among the top collaborators of H. M. Faheem 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 H. M. Faheem. H. M. Faheem 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 | 7 | |
| 4 | Dynamic Ensemble Modelling for Prediction of Influenza Like Illnesses: A Framework | 1 |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | Hybrid Framework for pairwise DNA Sequence Alignment Using the CUDA compatible GPU | 1 |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | Accelerating motif finding problem using grid computing with enhanced Brute Force | 10 |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 24 |
About H. M. Faheem
H. M. Faheem is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 45 papers that have together received 210 indexed citations. Recurring topics across this work include Algorithms and Data Compression (8 papers), Genomics and Phylogenetic Studies (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Computer Networks and Communications (101 citations), Artificial Intelligence (83 citations) and Information Systems (52 citations). H. M. Faheem has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Mohammed Amoon, Mahmoud Fayez, Iyad Katib, Sherine Rady, Eman Shaaban, Wail S. Elkilani, Mostafa G. M. Mostafa, Mohamed Almorsy, Birgitta König‐Ries and Tamer Abdelkader. Their work appears in journals such as Scientific Reports, IEEE Access and Sustainability.
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.