Saima Rathore

2.9k citations
54 papers · 1.4k indexed · 1 hit paper · h-index 19
Topics
Radiomics and Machine Learning in Medical Imaging (31 papers)Glioma Diagnosis and Treatment (24 papers)MRI in cancer diagnosis (10 papers)

In The Last Decade

Saima Rathore

50 papers receiving 1.4k citations

Hit Papers

A review on neuroimaging-based classification studies and...20172026202020232017100200300400

Peers

Saima Rathore
Comparison fields: 5 of 104
  • Radiology, Nuclear Medicine and Imaging 796
  • Artificial Intelligence 416
  • Genetics 362
  • Neurology 324
  • Psychiatry and Mental health 217
Replace Junfeng Lu with:
Junfeng Lu China
Xiao Da United States
Francesca Gallivanone Italy
Manuel Gómez-Río Spain
Marco Lorenzi France
Yu‐Chuan Hu China
Mikhail Milchenko United States
Mohammed Goryawala United States
Hai‐Yan Nan China
Alfiia Galimzianova United States
Saima Rathore relative to Junfeng Lu China Junfeng Lu's profile →
Citations per field
00.5×3.7×
Junfeng Lu · 1×
Citations per year

Countries citing papers authored by Saima Rathore

Since Specialization
Citations

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

Fields of papers citing papers by Saima Rathore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saima Rathore

This figure shows the co-authorship network connecting the top 25 collaborators of Saima Rathore. A scholar is included among the top collaborators of Saima Rathore 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 Saima Rathore. Saima Rathore 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 0
7 19
8 1
9 3
10 18
11 20
12 7
13 100
14 7
15 63
16 19
17 3
18 23
19 71
20 6

About Saima Rathore

Saima Rathore is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (31 papers), Glioma Diagnosis and Treatment (24 papers) and MRI in cancer diagnosis (10 papers). The work is most often cited by research in Neurology (324 citations), Radiology, Nuclear Medicine and Imaging (796 citations) and Genetics (362 citations). Saima Rathore has collaborated with scholars based in United States, Pakistan and South Korea. Frequent co-authors include Christos Davatzikos, Muhammad Aksam Iftikhar, Mohamad Habes, Hamed Akbari, Jimit Doshi, Spyridon Bakas, Asifullah Khan, Mutawarra Hussain, Martin Rozycki and Lal Hussain. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and Cancer.

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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