Ismail Hmeidi
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Co-authors
- Mahmoud Al‐AyyoubEyas El‐QawasmehBilal HawashinHassan NajadatKhalid Al‐KhatibLaith AbualigahQussai YaseenMohammed A. Shehab
- Topics
- Spam and Phishing Detection (9 papers)Text and Document Classification Technologies (9 papers)IoT and Edge/Fog Computing (8 papers)
In The Last Decade
Ismail Hmeidi
41 papers receiving 693 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 428
- Information Systems 218
- Computer Vision and Pattern Recognition 92
- Radiology, Nuclear Medicine and Imaging 91
- Biomedical Engineering 69
Countries citing papers authored by Ismail Hmeidi
This map shows the geographic impact of Ismail Hmeidi'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 Ismail Hmeidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ismail Hmeidi more than expected).
Fields of papers citing papers by Ismail Hmeidi
This network shows the impact of papers produced by Ismail Hmeidi. 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 Ismail Hmeidi. The network helps show where Ismail Hmeidi may publish in the future.
Co-authorship network of co-authors of Ismail Hmeidi
This figure shows the co-authorship network connecting the top 25 collaborators of Ismail Hmeidi. A scholar is included among the top collaborators of Ismail Hmeidi 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 Ismail Hmeidi. Ismail Hmeidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 17 | |
| 3 | Performance Analysis of Minimum Rank with Hysteresis Objective Function for Internet of Things | 3 |
| 4 | 6 | |
| 5 | Using deep learning for automatically determining correct application of basic quranic recitation rules. | 19 |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | A Comparative Study of Automatic Text Categorization Methods Using Arabic Text | 9 |
| 13 | 35 | |
| 14 | Survey of Cloud Computing Web Services for Healthcare Information Retrieval Systems | 0 |
| 15 | 34 | |
| 16 | 19 | |
| 17 | Detecting Hand Bone Fractures in X-Ray Images | 35 |
| 18 | Stock Price Prediction Using K-Nearest Neighbor (kNN) Algorithm | 94 |
| 19 | 13 | |
| 20 | 0 |
About Ismail Hmeidi
Ismail Hmeidi is a scholar working on Health Informatics, Information Systems and Health Information Management, having authored 44 papers that have together received 746 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Text and Document Classification Technologies (9 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (428 citations) and Information Systems (218 citations). Ismail Hmeidi has collaborated with scholars based in Jordan, Malaysia and Australia. Frequent co-authors include Mahmoud Al‐Ayyoub, Eyas El‐Qawasmeh, Bilal Hawashin, Hassan Najadat, Khalid Al‐Khatib, Laith Abualigah, Qussai Yaseen, Mohammed A. Shehab, Malak Abdullah and Martha Evens. Their work appears in journals such as Advanced Engineering Informatics, Journal of Information Science and Simulation Modelling Practice and Theory.
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.