Mohammad A. Hassonah
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Ala’ M. Al-ZoubiHossam FarisIbrahim AljarahSeyedali MirjaliliJa’far AlqatawnaAli Asghar HeidariMajdi MafarjaHeba Saadeh
- Topics
- Spam and Phishing Detection (6 papers)Network Security and Intrusion Detection (5 papers)Metaheuristic Optimization Algorithms Research (4 papers)
- Partner nations
- JordanUnited Arab EmiratesSpain
In The Last Decade
Mohammad A. Hassonah
12 papers receiving 942 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 635
- Information Systems 219
- Computer Networks and Communications 193
- Computer Vision and Pattern Recognition 140
- Computational Theory and Mathematics 116
Countries citing papers authored by Mohammad A. Hassonah
This map shows the geographic impact of Mohammad A. Hassonah'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 Mohammad A. Hassonah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Hassonah more than expected).
Fields of papers citing papers by Mohammad A. Hassonah
This network shows the impact of papers produced by Mohammad A. Hassonah. 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 Mohammad A. Hassonah. The network helps show where Mohammad A. Hassonah may publish in the future.
Co-authorship network of co-authors of Mohammad A. Hassonah
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. Hassonah. A scholar is included among the top collaborators of Mohammad A. Hassonah 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 Mohammad A. Hassonah. Mohammad A. Hassonah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 6 | |
| 3 | 21 | |
| 4 | 89 | |
| 5 | 16 | |
| 6 | 72 | |
| 7 | 30 | |
| 8 | 213 | |
| 9 | 198 | |
| 10 | 117 | |
| 11 | 13 | |
| 12 | 187 |
About Mohammad A. Hassonah
Mohammad A. Hassonah is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 12 papers that have together received 978 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Network Security and Intrusion Detection (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Artificial Intelligence (635 citations), Information Systems (219 citations) and Computer Networks and Communications (193 citations). Mohammad A. Hassonah has collaborated with scholars based in Jordan, United Arab Emirates and Spain. Frequent co-authors include Ala’ M. Al-Zoubi, Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, Ja’far Alqatawna, Ali Asghar Heidari, Majdi Mafarja, Heba Saadeh, Hamido Fujita and Utku Köse. Their work appears in journals such as Knowledge-Based Systems, Information Fusion and Neural Computing and Applications.
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.