Saad Ashraf

29 papers receiving 269 citations

Peers

Saad Ashraf
Comparison fields: 5 of 95
  • Control and Systems Engineering 107
  • Computer Science Applications 24
  • Architecture 6
  • Media Technology 24
  • Artificial Intelligence 68
Replace Haoran Yan with:
Haoran Yan China
Muhammad Amar Pakistan
Serafí­n Alonso Spain
Talha Ali Khan Germany
Princy Johnson United Kingdom
Jianbo Chen China
Nura Musa Tahir Malaysia
Benedetta Picano Italy
Yuting Dai China
Saad Ashraf relative to Haoran Yan China Haoran Yan's profile →
Citations per field
00.5×11×
Haoran Yan · 1×
Citations per year

Countries citing papers authored by Saad Ashraf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Saad Ashraf Line = papers co-authored together Saad Ashraf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 200615
3 200913
4 202313
5 200711
6 201010
7 20038
8 20137
9 20127
10 20087
11
Soft Computing in Industrial Applications: Recent and Emerging Methods and Techniques
20075
12 20084
13 20084
14 20114
15 20084
16 20123
17 20173
18 20143
19 19972
20 20242

About Saad Ashraf

Saad Ashraf is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Artificial Intelligence, Computer Science Applications and Information Systems, having authored 44 papers that have together received 289 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), Cardiovascular Function and Risk Factors (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Robotic Path Planning Algorithms (2 papers), Information Systems Education and Curriculum Development (2 papers) and Robotics and Automated Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (107 citations), Computer Science Applications (24 citations), Architecture (6 citations), Media Technology (24 citations) and Artificial Intelligence (68 citations). Saad Ashraf has collaborated with scholars based in United States, Pakistan and Qatar. Frequent co-authors include Abhinav Saxena, Randal Abler, J. Lane Thames, Michael Peterson, Aymar Akilimali, Jörn Mehnen, Ashutosh Tiwari, Kyle A Burton, Muhammad Sarfraz and Eric Johnson. Their work appears in journals such as International Archives of Allergy and Immunology, BMC Cardiovascular Disorders, BMC Neurology, Acta Ophthalmologica and Journal of Pediatric Urology.

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.

Explore authors with similar magnitude of impact