April Khademi

1.9k citations
60 papers · 1.2k · h-index 16

Impact in

Papers in

April Khademi

56 papers receiving 1.2k citations

Peers

April Khademi
Comparison fields: 5 of 120
  • Neurology 216
  • Health Informatics 40
  • Radiology, Nuclear Medicine and Imaging 427
  • Computer Vision and Pattern Recognition 423
  • Artificial Intelligence 357
Replace Tom Brosch with:
Tom Brosch Germany
Alfiia Galimzianova Slovenia
Élodie Puybareau France
Richard McKinley Switzerland
Assaf Hoogi United States
Shunxing Bao United States
Youngjin Yoo Canada
Kelei He China
Matthias Wilms Canada
Amod Jog United States
April Khademi relative to Tom Brosch Germany Tom Brosch's profile →
Citations per field
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Citations per year

Countries citing papers authored by April Khademi

Since Specialization
Citations

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

Fields of papers citing papers by April Khademi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019224
2 2018206
3 2022107
4 201892
5 200859
6 201143
7 200731
8 201928
9 202428
10 200627
11 202227
12 201922
13 201921
14 202419
15 202217
16 200816
17 201916
18 202016
19 201915
20 202114

About April Khademi

April Khademi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence and Psychiatry and Mental health, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (7 papers), Image Retrieval and Classification Techniques (6 papers) and Brain Tumor Detection and Classification (6 papers). The work is most often cited by research in Neurology (216 citations), Health Informatics (40 citations), Radiology, Nuclear Medicine and Imaging (427 citations), Computer Vision and Pattern Recognition (423 citations) and Artificial Intelligence (357 citations). April Khademi has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Alan R. Moody, Sridhar Krishnan, A. Venetsanopoulos, Dimitrios Androutsos, Julien M Meyer, Sandra E. Black, Olivier Potvin, Simon Duchesne, Isabelle Chouinard and Rick D. Hoge. Their work appears in journals such as Scientific Reports, American Journal of Neuroradiology, Magnetic Resonance Imaging, NeuroImage Clinical and Frontiers in Bioengineering and Biotechnology.

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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