Amani K. Samha
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Information Systems
- Co-authors
- Heba KurdiAlhanoof AlthnianHeyam H. Al-BaityDuaa AlSaeedJinglan ZhangYuefeng LiWalid El‐ShafaiPapiya Dutta
- Topics
- Sentiment Analysis and Opinion Mining (2 papers)Advanced Text Analysis Techniques (2 papers)Web Data Mining and Analysis (2 papers)
- Partner nations
- Saudi ArabiaIndiaAustralia
In The Last Decade
Amani K. Samha
12 papers receiving 309 citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 116
- Computer Networks and Communications 48
- Computer Vision and Pattern Recognition 40
- Radiology, Nuclear Medicine and Imaging 40
- Information Systems 38
Countries citing papers authored by Amani K. Samha
This map shows the geographic impact of Amani K. Samha'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 Amani K. Samha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amani K. Samha more than expected).
Fields of papers citing papers by Amani K. Samha
This network shows the impact of papers produced by Amani K. Samha. 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 Amani K. Samha. The network helps show where Amani K. Samha may publish in the future.
Co-authorship network of co-authors of Amani K. Samha
This figure shows the co-authorship network connecting the top 25 collaborators of Amani K. Samha. A scholar is included among the top collaborators of Amani K. Samha 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 Amani K. Samha. Amani K. Samha 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 | 1 | |
| 3 | 18 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domainbreakdown → | 243 |
| 12 | 2 | |
| 13 | Aspect-based opinion mining from product reviews using conditional random fields | 11 |
| 14 | 16 |
About Amani K. Samha
Amani K. Samha is a scholar working on Transportation, Signal Processing and Computer Networks and Communications, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (116 citations) and Signal Processing (24 citations). Amani K. Samha has collaborated with scholars based in Saudi Arabia, India and Australia. Frequent co-authors include Heba Kurdi, Alhanoof Althnian, Heyam H. Al-Baity, Duaa AlSaeed, Jinglan Zhang, Yuefeng Li, Walid El‐Shafai, Papiya Dutta, Ezz El‐Din Hemdan and Deepak Sharma. Their work appears in journals such as IEEE Access, Applied Sciences and Mobile Networks 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.