Mohammed N. Al‐Kabi
- Artificial Intelligence top 1%
- Information Systems top 2%
- Education top 10%
- Sociology and Political Science
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Izzat AlsmadiMahmoud Al‐AyyoubHeider A. WahshehNawaf AbdullaYaser JararwehQasem A. Al‐RadaidehMostafa Al‐EmranEmad Al‐Shawakfa
- Topics
- Text and Document Classification Technologies (20 papers)Spam and Phishing Detection (17 papers)Advanced Text Analysis Techniques (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Soft ComputingInformation Processing & Management
- Partner nations
- JordanUnited StatesOman
In The Last Decade
Mohammed N. Al‐Kabi
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 833
- Information Systems 366
- Education 93
- Sociology and Political Science 75
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Mohammed N. Al‐Kabi
This map shows the geographic impact of Mohammed N. Al‐Kabi'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 Mohammed N. Al‐Kabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed N. Al‐Kabi more than expected).
Fields of papers citing papers by Mohammed N. Al‐Kabi
This network shows the impact of papers produced by Mohammed N. Al‐Kabi. 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 Mohammed N. Al‐Kabi. The network helps show where Mohammed N. Al‐Kabi may publish in the future.
Co-authorship network of co-authors of Mohammed N. Al‐Kabi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed N. Al‐Kabi. A scholar is included among the top collaborators of Mohammed N. Al‐Kabi 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 Mohammed N. Al‐Kabi. Mohammed N. Al‐Kabi 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 | 57 | |
| 4 | Evaluating social context in arabic opinion mining. | 10 |
| 5 | Improved hierarchical classifiers for multi-way sentiment analysis. | 8 |
| 6 | A prototype for a standard arabic sentiment analysis corpus. | 24 |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 47 | |
| 10 | 47 | |
| 11 | 0 | |
| 12 | 19 | |
| 13 | 9 | |
| 14 | Studying the Impact of Using Multimedia Interactive Programs at Children Ability to Learn Basic Math Skills. | 34 |
| 15 | 1 | |
| 16 | 7 | |
| 17 | Comparative Assessment of the Performance of Three WEKA Text Classifiers Applied to Arabic Text | 16 |
| 18 | GUI Structural Metrics | 7 |
| 19 | 28 | |
| 20 | 2 |
About Mohammed N. Al‐Kabi
Mohammed N. Al‐Kabi is a scholar working on Information Systems, Artificial Intelligence and Software, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (20 papers), Spam and Phishing Detection (17 papers) and Advanced Text Analysis Techniques (17 papers). The work is most often cited by research in Artificial Intelligence (833 citations), Information Systems (366 citations) and Human-Computer Interaction (29 citations). Mohammed N. Al‐Kabi has collaborated with scholars based in Jordan, United States and Oman. Frequent co-authors include Izzat Alsmadi, Mahmoud Al‐Ayyoub, Heider A. Wahsheh, Nawaf Abdulla, Yaser Jararweh, Qasem A. Al‐Radaideh, Mostafa Al‐Emran, Emad Al‐Shawakfa, Minfei Peng and Nizar Ahmed. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Information Processing & Management.
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.