Ali Al-Laith
- Artificial Intelligence top 10%
- Information Systems top 5%
- Sociology and Political Science
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition
- Topics
- Sentiment Analysis and Opinion Mining (5 papers)Advanced Text Analysis Techniques (3 papers)Spam and Phishing Detection (2 papers)
- Partner nations
- PakistanSaudi ArabiaYemen
In The Last Decade
Ali Al-Laith
6 papers receiving 256 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 129
- Information Systems 125
- Sociology and Political Science 83
- Human-Computer Interaction 79
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Ali Al-Laith
This map shows the geographic impact of Ali Al-Laith'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 Ali Al-Laith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Al-Laith more than expected).
Fields of papers citing papers by Ali Al-Laith
This network shows the impact of papers produced by Ali Al-Laith. 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 Ali Al-Laith. The network helps show where Ali Al-Laith may publish in the future.
Co-authorship network of co-authors of Ali Al-Laith
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Al-Laith. A scholar is included among the top collaborators of Ali Al-Laith 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 Ali Al-Laith. Ali Al-Laith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Metaverse Framework: A Case Study on E-Learning Environment (ELEM)breakdown → | 111 |
| 2 | 33 | |
| 3 | 25 | |
| 4 | 64 | |
| 5 | 36 | |
| 6 | Neural Network Approach for Irony Detection from Arabic Text on Social Media. | 1 |
About Ali Al-Laith
Ali Al-Laith is a scholar working on Health Information Management, Human-Computer Interaction and Artificial Intelligence, having authored 6 papers that have together received 270 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Human-Computer Interaction (79 citations), Information Systems (125 citations) and Artificial Intelligence (129 citations). Ali Al-Laith has collaborated with scholars based in Pakistan, Saudi Arabia and Yemen. Frequent co-authors include Muhammad Shahbaz, Muaadh A. Alsoufi, Muna Al‐Razgan, Taha Alfakih and Mamdouh Alenezi. Their work appears in journals such as Future Generation Computer Systems, Applied Sciences and Electronics.
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.