Ayad R. Abbas
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Dhafar HamedAhmed T. SadiqJuan LiuHongli ZhangAhmed AlkhayyatAbir HussainHaya AlaskarJumana Waleed
- Topics
- Generative Adversarial Networks and Image Synthesis (8 papers)Sentiment Analysis and Opinion Mining (6 papers)Advanced Text Analysis Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBig Data and Cognitive Computing
- Partner nations
- IraqRussiaUnited Arab Emirates
In The Last Decade
Ayad R. Abbas
39 papers receiving 200 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 110
- Computer Vision and Pattern Recognition 49
- Information Systems 48
- Computer Networks and Communications 28
- Signal Processing 21
Countries citing papers authored by Ayad R. Abbas
This map shows the geographic impact of Ayad R. Abbas'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 Ayad R. Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayad R. Abbas more than expected).
Fields of papers citing papers by Ayad R. Abbas
This network shows the impact of papers produced by Ayad R. Abbas. 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 Ayad R. Abbas. The network helps show where Ayad R. Abbas may publish in the future.
Co-authorship network of co-authors of Ayad R. Abbas
This figure shows the co-authorship network connecting the top 25 collaborators of Ayad R. Abbas. A scholar is included among the top collaborators of Ayad R. Abbas 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 Ayad R. Abbas. Ayad R. Abbas 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 | 2 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | Diagnosis the Breast Cancer using Bayesian Rough Set Classifier | 1 |
| 20 | Designing an intelligent recommender system using partial credit model and bayesian rough set. | 7 |
About Ayad R. Abbas
Ayad R. Abbas is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence, having authored 44 papers that have together received 216 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (110 citations), Computer Vision and Pattern Recognition (49 citations) and Information Systems (48 citations). Ayad R. Abbas has collaborated with scholars based in Iraq, Russia and United Arab Emirates. Frequent co-authors include Dhafar Hamed, Ahmed T. Sadiq, Juan Liu, Hongli Zhang, Ahmed Alkhayyat, Abir Hussain, Haya Alaskar, Jumana Waleed and Wasiq Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Big Data and Cognitive Computing.
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.