Mouhammd Alkasassbeh
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Mohammad AlmseidinGhazi Al‐NaymatSzilveszter KovácsHossam FarisMo AddaAhmad B. HassanatKim‐Kwang Raymond ChooNauman Aslam
- Topics
- Network Security and Intrusion Detection (37 papers)Advanced Malware Detection Techniques (24 papers)Internet Traffic Analysis and Secure E-voting (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- JordanHungarySaudi Arabia
In The Last Decade
Mouhammd Alkasassbeh
53 papers receiving 790 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 510
- Artificial Intelligence 464
- Signal Processing 382
- Information Systems 198
- Electrical and Electronic Engineering 71
Countries citing papers authored by Mouhammd Alkasassbeh
This map shows the geographic impact of Mouhammd Alkasassbeh'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 Mouhammd Alkasassbeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mouhammd Alkasassbeh more than expected).
Fields of papers citing papers by Mouhammd Alkasassbeh
This network shows the impact of papers produced by Mouhammd Alkasassbeh. 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 Mouhammd Alkasassbeh. The network helps show where Mouhammd Alkasassbeh may publish in the future.
Co-authorship network of co-authors of Mouhammd Alkasassbeh
This figure shows the co-authorship network connecting the top 25 collaborators of Mouhammd Alkasassbeh. A scholar is included among the top collaborators of Mouhammd Alkasassbeh 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 Mouhammd Alkasassbeh. Mouhammd Alkasassbeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 36 | |
| 14 | 7 | |
| 15 | 31 | |
| 16 | 18 | |
| 17 | 20 | |
| 18 | Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis | 27 |
| 19 | 9 | |
| 20 | Shared Crossover Method for Solving Traveling Salesman Problem | 1 |
About Mouhammd Alkasassbeh
Mouhammd Alkasassbeh is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 62 papers that have together received 840 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (37 papers), Advanced Malware Detection Techniques (24 papers) and Internet Traffic Analysis and Secure E-voting (16 papers). The work is most often cited by research in Signal Processing (382 citations), Computer Networks and Communications (510 citations) and Artificial Intelligence (464 citations). Mouhammd Alkasassbeh has collaborated with scholars based in Jordan, Hungary and Saudi Arabia. Frequent co-authors include Mohammad Almseidin, Ghazi Al‐Naymat, Szilveszter Kovács, Hossam Faris, Mo Adda, Ahmad B. Hassanat, Kim‐Kwang Raymond Choo, Nauman Aslam, Ahmad Al–Qerem and Suleman Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.