Khalid M.O. Nahar
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Ophthalmology top 5%
- Co-authors
- Obaida M. Al-HazaimehBassam Al‐NaamiAmmar AlmomaniAhmad F. KlaibBilal H. Abed-alguniMohammad AlauthmanWasfi G. Al-KhatibHusni Al-Muhtaseb
- Topics
- Speech Recognition and Synthesis (6 papers)Brain Tumor Detection and Classification (6 papers)Speech and Audio Processing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsApplied Sciences
- Partner nations
- JordanSaudi ArabiaUnited Arab Emirates
In The Last Decade
Khalid M.O. Nahar
46 papers receiving 411 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 201
- Radiology, Nuclear Medicine and Imaging 118
- Computer Vision and Pattern Recognition 108
- Signal Processing 76
- Ophthalmology 74
Countries citing papers authored by Khalid M.O. Nahar
This map shows the geographic impact of Khalid M.O. Nahar'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 Khalid M.O. Nahar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid M.O. Nahar more than expected).
Fields of papers citing papers by Khalid M.O. Nahar
This network shows the impact of papers produced by Khalid M.O. Nahar. 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 Khalid M.O. Nahar. The network helps show where Khalid M.O. Nahar may publish in the future.
Co-authorship network of co-authors of Khalid M.O. Nahar
This figure shows the co-authorship network connecting the top 25 collaborators of Khalid M.O. Nahar. A scholar is included among the top collaborators of Khalid M.O. Nahar 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 Khalid M.O. Nahar. Khalid M.O. Nahar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | AIR QUALITY INDEX USING MACHINE LEARNING – A JORDAN CASE STUDY | 12 |
| 19 | Off-line arabic hand-writingrecognition using artificial neural networkwith genetics algorithm. | 0 |
| 20 | Arabic Phonemes Transcription using Data Driven Approach | 9 |
About Khalid M.O. Nahar
Khalid M.O. Nahar is a scholar working on Signal Processing, Health Information Management and Artificial Intelligence, having authored 56 papers that have together received 442 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Brain Tumor Detection and Classification (6 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Ophthalmology (74 citations), Health Information Management (34 citations) and Signal Processing (76 citations). Khalid M.O. Nahar has collaborated with scholars based in Jordan, Saudi Arabia and United Arab Emirates. Frequent co-authors include Obaida M. Al-Hazaimeh, Bassam Al‐Naami, Ammar Almomani, Ahmad F. Klaib, Bilal H. Abed-alguni, Mohammad Alauthman, Wasfi G. Al-Khatib, Husni Al-Muhtaseb, Moustafa Elshafei and Ameera Jaradat. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.
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.