Amer Ardati

682 citations
24 papers · 180 · h-index 8

Impact in

Papers in

Amer Ardati

19 papers receiving 176 citations

Peers

Amer Ardati
Comparison fields: 5 of 42
  • Cardiology and Cardiovascular Medicine 77
  • Internal Medicine 11
  • Health Informatics 2
  • Surgery 59
  • Nephrology 7
Replace Eng Wei Tang with:
Eng Wei Tang New Zealand
Jae-Wook Chung South Korea
Nobuhiro Ikemura Japan
Nazif Aygül Türkiye
Sazzli Kasim Malaysia
Daniel O. Reddy United States
Shijin Gong China
Tom Devasia India
Shunsuke Kiuchi Japan
Yuanlong Wang China
Amer Ardati relative to Eng Wei Tang New Zealand Eng Wei Tang's profile →
Citations per field
00.5×1.5×1.9×
Eng Wei Tang · 1×
Citations per year

Countries citing papers authored by Amer Ardati

Since Specialization
Citations

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

Fields of papers citing papers by Amer Ardati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 202230
3 201630
4 201914
5 20168
6 20178
7 20178
8 20137
9 20075
10 20215
11 20194
12 20184
13 20183
14 20183
15 20202
16 20142
17 20182
18 20241
19 20191
20 20240

About Amer Ardati

Amer Ardati is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 180 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Diabetes Treatment and Management (2 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Cardiac Imaging and Diagnostics (1 paper), Health Policy Implementation Science (1 paper), Acupuncture Treatment Research Studies (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (77 citations), Internal Medicine (11 citations), Health Informatics (2 citations), Surgery (59 citations) and Nephrology (7 citations). Amer Ardati has collaborated with scholars based in United States and Canada. Frequent co-authors include Kibum Kim, Robert J. DiDomenico, Daniel R. Touchette, Herbert D. Aronow, Surrey M. Walton, Todd A. Lee, Hitinder S. Gurm, Paul Grossman, Timothy J. Nypaver and Paul Bove. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Managed Care & Specialty Pharmacy, BMC Medical Informatics and Decision Making, Circulation Cardiovascular Interventions and Interventional Cardiology Reviews Research Resources.

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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