Shabib Aftab
- Information Systems top 1%
- Artificial Intelligence top 2%
- Software top 1%
- Computer Networks and Communications top 5%
- Health Information Management top 1%
- Co-authors
- Munir AhmadAhmed IqbalMuhammad Adnan KhanSagheer AbbasTaher M. GhazalIftikhar AliZahid NawazMuhammad Salman
- Topics
- Software Engineering Research (21 papers)Software Reliability and Analysis Research (13 papers)Software Engineering Techniques and Practices (11 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- PakistanSouth KoreaChina
In The Last Decade
Shabib Aftab
49 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Information Systems 625
- Artificial Intelligence 557
- Software 369
- Computer Networks and Communications 271
- Health Information Management 159
Countries citing papers authored by Shabib Aftab
This map shows the geographic impact of Shabib Aftab'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 Shabib Aftab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabib Aftab more than expected).
Fields of papers citing papers by Shabib Aftab
This network shows the impact of papers produced by Shabib Aftab. 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 Shabib Aftab. The network helps show where Shabib Aftab may publish in the future.
Co-authorship network of co-authors of Shabib Aftab
This figure shows the co-authorship network connecting the top 25 collaborators of Shabib Aftab. A scholar is included among the top collaborators of Shabib Aftab 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 Shabib Aftab. Shabib Aftab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | A deep learning based model for diabetic retinopathy gradingbreakdown → | 16 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 12 | |
| 7 | 46 | |
| 8 | 21 | |
| 9 | 93 | |
| 10 | Prediction of Diabetes Empowered With Fused Machine Learningbreakdown → | 154 |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 45 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 34 | |
| 17 | 12 | |
| 18 | 13 | |
| 19 | 17 | |
| 20 | 28 |
About Shabib Aftab
Shabib Aftab is a scholar working on Software, Health Information Management and Information Systems, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software Engineering Research (21 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (11 papers). The work is most often cited by research in Software (369 citations), Health Information Management (159 citations) and Information Systems (625 citations). Shabib Aftab has collaborated with scholars based in Pakistan, South Korea and China. Frequent co-authors include Munir Ahmad, Ahmed Iqbal, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal, Iftikhar Ali, Zahid Nawaz, Muhammad Salman, Tariq Rahim Soomro and Nasser Taleb. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.