Saad Ashraf
Impact in
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in
-
- Evolutionary Algorithms and Applications 3
- Neural Networks and Applications 2
-
- Atrial Fibrillation Management and Outcomes 2
- Co-authors
- Abhinav Saxena (1 shared paper)J. Lane Thames (1 shared paper)Randal Abler (1 shared paper)Aymar Akilimali (2 shared papers)Michael Peterson (1 shared paper)Kyle A Burton (1 shared paper)Keshav Dahal (1 shared paper)K. Kawamura (1 shared paper)
- Journals
- BMC Cardiovascular Disorders (1 paper)Infection (1 paper)CHEST Journal (1 paper)Archives of Dermatological Research (1 paper)Journal of Pediatric Surgery (1 paper)
- Partner nations
- United StatesPakistanQatar
In The Last Decade
Saad Ashraf
33 papers receiving 268 citations
Peers
Comparison fields: 5 of 88
- Control and Systems Engineering 104
- Computer Science Applications 24
- Architecture 6
- Media Technology 24
- Artificial Intelligence 65
Countries citing papers authored by Saad Ashraf
This map shows the geographic impact of Saad Ashraf'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 Saad Ashraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Ashraf more than expected).
Fields of papers citing papers by Saad Ashraf
This network shows the impact of papers produced by Saad Ashraf. 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 Saad Ashraf. The network helps show where Saad Ashraf may publish in the future.
Co-authors
The 25 scholars most cited alongside Saad Ashraf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 155 | |
| 2 | 2023 | 16 | |
| 3 | 2006 | 15 | |
| 4 | 2007 | 11 | |
| 5 | 2010 | 10 | |
| 6 | 2003 | 8 | |
| 7 | 2013 | 7 | |
| 8 | 2008 | 7 | |
| 9 | 2012 | 7 | |
| 10 | Soft Computing in Industrial Applications: Recent and Emerging Methods and Techniques | 2007 | 5 |
| 11 | 2024 | 4 | |
| 12 | 2011 | 4 | |
| 13 | 2008 | 4 | |
| 14 | 2008 | 4 | |
| 15 | 2008 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Saad Ashraf
Saad Ashraf is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Epidemiology, Computer Science Applications and Information Systems, having authored 44 papers that have together received 290 indexed citations. Recurring topics across this work include Teaching and Learning Programming (5 papers), Experimental Learning in Engineering (4 papers), Evolutionary Algorithms and Applications (3 papers), Neural Networks and Applications (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Robotic Path Planning Algorithms (2 papers) and Gender and Technology in Education (2 papers). The work is most often cited by research in Control and Systems Engineering (104 citations), Computer Science Applications (24 citations), Architecture (6 citations), Media Technology (24 citations) and Artificial Intelligence (65 citations). Saad Ashraf has collaborated with scholars based in United States, Pakistan and Qatar. Frequent co-authors include Abhinav Saxena, J. Lane Thames, Randal Abler, Aymar Akilimali, Michael Peterson, Kyle A Burton, Keshav Dahal, K. Kawamura, Muhammad Sarfraz and Bradley R. Sturz. Their work appears in journals such as BMC Cardiovascular Disorders, Infection, CHEST Journal, Archives of Dermatological Research and Journal of Pediatric Surgery.
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.