Bassiema Ibrahim

10 papers receiving 351 citations

Peers

Bassiema Ibrahim
Comparison fields: 5 of 38
  • Cardiology and Cardiovascular Medicine 318
  • Molecular Biology 94
  • Surgery 86
  • Pulmonary and Respiratory Medicine 37
  • Pathology and Forensic Medicine 27
Replace Nicholas J. Linker with:
Nicholas J. Linker United Kingdom
G Autenrieth Germany
James Glancy United Kingdom
Akira Takeshita Japan
Mohammad Ali Sadr‐Ameli Iran
Laura Pannell United Kingdom
Hitoshi Tanio Japan
Paul G. Colavita United States
Jacqueline H. Lee United States
Peter Rakovec Slovenia
Bassiema Ibrahim relative to Nicholas J. Linker United Kingdom Nicholas J. Linker's profile →
Citations per field
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Nicholas J. Linker · 1×
Citations per year

Countries citing papers authored by Bassiema Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Bassiema Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bassiema Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Bassiema Ibrahim. A scholar is included among the top collaborators of Bassiema Ibrahim 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 Bassiema Ibrahim. Bassiema Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 118
2 73
3
A blind comparison of four non-invasive twelve-lead electrocardiogram algorithms for predicting susceptibility to ventricular tachycardia.
1
4 27
5 17
6 4
7 10
8 16
9 43
10 66

About Bassiema Ibrahim

Bassiema Ibrahim is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 375 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Arrhythmias and Treatments (5 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (318 citations), Surgery (86 citations) and Emergency Medicine (16 citations). Bassiema Ibrahim has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Edward B. Caref, Nabil El‐Sherif, Gioia Turitto, Raphael Henkin, Alan Feit, Zvi Zisbrod, C.V.R. Reddy, Weilun Quan, Todd J. Cohen and Martin Borggrefe. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Headache The Journal of Head and Face Pain.

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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