Abir Hussain
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Co-authors
- Dhiya Al‐JumeilyPanos LiatsisPaul FergusWasiq KhanNaeem RadiRozaida GhazaliHaya AlaskarHissam Tawfik
- Topics
- Neural Networks and Applications (20 papers)Stock Market Forecasting Methods (14 papers)Artificial Intelligence in Healthcare (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United KingdomUnited Arab EmiratesIraq
In The Last Decade
Abir Hussain
207 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 874
- Computer Vision and Pattern Recognition 599
- Biomedical Engineering 320
- Computer Networks and Communications 299
- Information Systems 299
Countries citing papers authored by Abir Hussain
This map shows the geographic impact of Abir Hussain'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 Abir Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abir Hussain more than expected).
Fields of papers citing papers by Abir Hussain
This network shows the impact of papers produced by Abir Hussain. 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 Abir Hussain. The network helps show where Abir Hussain may publish in the future.
Co-authorship network of co-authors of Abir Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Abir Hussain. A scholar is included among the top collaborators of Abir Hussain 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 Abir Hussain. Abir Hussain 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 | 0 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 16 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 70 | |
| 19 | 27 | |
| 20 | 11 |
About Abir Hussain
Abir Hussain is a scholar working on Signal Processing, Health Information Management and Computer Science Applications, having authored 229 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Stock Market Forecasting Methods (14 papers) and Artificial Intelligence in Healthcare (12 papers). The work is most often cited by research in Health Informatics (64 citations), Health Information Management (180 citations) and Computer Vision and Pattern Recognition (599 citations). Abir Hussain has collaborated with scholars based in United Kingdom, United Arab Emirates and Iraq. Frequent co-authors include Dhiya Al‐Jumeily, Panos Liatsis, Paul Fergus, Wasiq Khan, Naeem Radi, Rozaida Ghazali, Haya Alaskar, Hissam Tawfik, Robert Keight and Thar Baker. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.