Saima Jabeen
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Computer Networks and Communications top 10%
- Neurology top 10%
- Co-authors
- Abdullah AlsaeediLiyakathunisa SyedElena BaralisAlessandro FioriLuca CaglieroSajid ShahAmmad Ahmad FarooqıJavaria Amin
- Topics
- Genomics and Phylogenetic Studies (4 papers)Natural Language Processing Techniques (4 papers)Machine Learning in Bioinformatics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- PakistanSaudi ArabiaItaly
In The Last Decade
Saima Jabeen
22 papers receiving 415 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 132
- Computer Vision and Pattern Recognition 93
- Molecular Biology 84
- Computer Networks and Communications 75
- Neurology 68
Countries citing papers authored by Saima Jabeen
This map shows the geographic impact of Saima Jabeen'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 Saima Jabeen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saima Jabeen more than expected).
Fields of papers citing papers by Saima Jabeen
This network shows the impact of papers produced by Saima Jabeen. 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 Saima Jabeen. The network helps show where Saima Jabeen may publish in the future.
Co-authorship network of co-authors of Saima Jabeen
This figure shows the co-authorship network connecting the top 25 collaborators of Saima Jabeen. A scholar is included among the top collaborators of Saima Jabeen 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 Saima Jabeen. Saima Jabeen 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 | 7 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 69 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | Multiple sclerosis: Genetic factors, risk and prevalence | 1 |
| 16 | Beta thalassemia: Prevalence, risk and challenges | 3 |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 31 |
About Saima Jabeen
Saima Jabeen is a scholar working on Software, Geriatrics and Gerontology and Information Systems, having authored 28 papers that have together received 441 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Natural Language Processing Techniques (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Neurology (68 citations), Health Information Management (30 citations) and Health Informatics (7 citations). Saima Jabeen has collaborated with scholars based in Pakistan, Saudi Arabia and Italy. Frequent co-authors include Abdullah Alsaeedi, Liyakathunisa Syed, Elena Baralis, Alessandro Fiori, Luca Cagliero, Sajid Shah, Ammad Ahmad Farooqı, Javaria Amin, Pablo Moreno‐Ger and Muhammad Sharif. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with 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.