April Khademi

1.8k total citations
48 papers, 525 citations indexed

About

April Khademi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, April Khademi has authored 48 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in April Khademi's work include Medical Image Segmentation Techniques (17 papers), AI in cancer detection (13 papers) and Advanced MRI Techniques and Applications (12 papers). April Khademi is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), AI in cancer detection (13 papers) and Advanced MRI Techniques and Applications (12 papers). April Khademi collaborates with scholars based in Canada, United States and Serbia. April Khademi's co-authors include Alan R. Moody, Sridhar Krishnan, A. Venetsanopoulos, Dimitrios Androutsos, Pascal N. Tyrrell, Pejman Maralani, Sandra E. Black, Julien Meyer, Pierre Bellec and Graham W. Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

April Khademi

44 papers receiving 508 citations

Peers

April Khademi
Comparison fields: 5 of 106
  • Radiology, Nuclear Medicine and Imaging 232
  • Computer Vision and Pattern Recognition 173
  • Artificial Intelligence 134
  • Neurology 99
  • Psychiatry and Mental health 61
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Citations per field, relative to April Khademi
April Khademi · 1×
Citations per year, relative to April Khademi
April Khademi · 1×

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-authorship network of co-authors of April Khademi

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 2
4 22
5 0
6 7
7 2
8 5
9 3
10 3
11 17
12 13
13 1
14 11
15 11
16
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
2
17 16
18 12
19 7
20 2

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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