Rahil Shahzad

1.3k citations
29 papers · 649 indexed · h-index 15

Rahil Shahzad

29 papers receiving 633 citations

Peers

Rahil Shahzad
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 400
  • Cardiology and Cardiovascular Medicine 214
  • Health Informatics 11
  • Pulmonary and Respiratory Medicine 180
  • Radiation 47
Replace Maurice Pradella with:
Maurice Pradella Switzerland
Hanns‐Christian Breit Switzerland
Michael Suehling Germany
Xiangfei Chai China
Michael Schwier Germany
Martin Segeroth Switzerland
Erwin Bellon Belgium
Danilo Babin Belgium
Mitsutaka Nemoto Japan
Mehrdad Oveisi Iran
Rahil Shahzad relative to Maurice Pradella Switzerland Maurice Pradella's profile →
Citations per field
00.5×10×20×34×
Maurice Pradella · 1×
Citations per year

Countries citing papers authored by Rahil Shahzad

Since Specialization
Citations

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

Fields of papers citing papers by Rahil Shahzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20235
3 20223
4 20223
5 202128
6 202115
7 202114
8 202051
9 20199
10 201914
11 201724
12 201719
13 201656
14 20162
15 20157
16 201549
17 201359
18 201350
19 201314
20 201259

About Rahil Shahzad

Rahil Shahzad is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 649 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiovascular Health and Disease Prevention (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Advanced X-ray and CT Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (400 citations), Cardiology and Cardiovascular Medicine (214 citations) and Health Informatics (11 citations). Rahil Shahzad has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Theo van Walsum, Lucas J. van Vliet, Wiro J. Niessen, Michiel Schaap, Rob J. van der Geest, Frank Thiele, Michael Perkuhn, Aad van der Lugt, Daniël Bos and Hortense A. Kirişli. Their work appears in journals such as Scientific Reports, Physics in Medicine and Biology and Medical Physics.

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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