Saad Abdullah

472 citations
26 papers · 311 · h-index 10

Impact in

Papers in

Saad Abdullah

22 papers receiving 293 citations

Peers

Saad Abdullah
Comparison fields: 5 of 82
  • Molecular Medicine 20
  • Human-Computer Interaction 23
  • Health Informatics 5
  • Biomedical Engineering 121
  • Pharmaceutical Science 12
Replace Chul Gyu Song with:
Chul Gyu Song South Korea
Changcheng Shi China
Chengbiao Ding China
Jing Mu China
Alastair Campbell Ritchie United Kingdom
Nitin Sahai India
Michel Schmid Switzerland
Jiawei Zhou United States
Songyue Zhang China
Pei-Jung Wu Taiwan
Saad Abdullah relative to Chul Gyu Song South Korea Chul Gyu Song's profile →
Citations per field
00.5×2×4×6.7×
Chul Gyu Song · 1×
Citations per year

Countries citing papers authored by Saad Abdullah

Since Specialization
Citations

This map shows the geographic impact of Saad Abdullah'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 Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Abdullah more than expected).

Fields of papers citing papers by Saad Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saad Abdullah. 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 Abdullah. The network helps show where Saad Abdullah may publish in the future.

Co-authors

The 25 scholars most cited alongside Saad Abdullah, 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 Abdullah Line = papers co-authored together Saad Abdullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202351
2 202344
3 202330
4 202329
5 201423
6 202518
7 201917
8 201612
9 202412
10 202311
11 202310
12 20259
13 20199
14 20207
15 20176
16 20244
17 20254
18 20194
19 20163
20 20233

About Saad Abdullah

Saad Abdullah is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Health Information Management, Radiology, Nuclear Medicine and Imaging and Polymers and Plastics, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), Heart Rate Variability and Autonomic Control (5 papers), ECG Monitoring and Analysis (4 papers), Artificial Intelligence in Healthcare (3 papers), Hemodynamic Monitoring and Therapy (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Neuroscience and Neural Engineering (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Molecular Medicine (20 citations), Human-Computer Interaction (23 citations), Health Informatics (5 citations), Biomedical Engineering (121 citations) and Pharmaceutical Science (12 citations). Saad Abdullah has collaborated with scholars based in Sweden, Pakistan and Hong Kong. Frequent co-authors include Bangul Khan, Samiullah Khan, Annica Kristoffersson, Mia Folke, María Lindén, Mauro Serpelloni, Emilio Sardini, Zainab Riaz, Hajira Fatima and Sanjay Kumar. Their work appears in journals such as Sensors, Journal of Science Advanced Materials and Devices, Frontiers in Cardiovascular Medicine, Frontiers in Bioengineering and Biotechnology and Electronics.

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.

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