Shan E Ahmed Raza

4.2k total citations · 1 hit paper
55 papers, 2.1k citations indexed

About

Shan E Ahmed Raza is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shan E Ahmed Raza has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 22 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shan E Ahmed Raza's work include AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Cell Image Analysis Techniques (12 papers). Shan E Ahmed Raza is often cited by papers focused on AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Cell Image Analysis Techniques (12 papers). Shan E Ahmed Raza collaborates with scholars based in United Kingdom, Qatar and United States. Shan E Ahmed Raza's co-authors include Nasir Rajpoot, David Snead, Ian A. Cree, Korsuk Sirinukunwattana, Yee‐Wah Tsang, Simon Graham, John P. Clarkson, Fayyaz Minhas, D. B. A. Epstein and Michael Khan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shan E Ahmed Raza

53 papers receiving 2.1k citations

Hit Papers

Locality Sensitive Deep Learning for Detection and Classi... 2016 2026 2019 2022 2016 250 500 750

Peers

Shan E Ahmed Raza
Comparison fields: 5 of 131
  • Artificial Intelligence 1.3k
  • Radiology, Nuclear Medicine and Imaging 884
  • Computer Vision and Pattern Recognition 727
  • Biophysics 355
  • Oncology 292
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Citations per field, relative to Shan E Ahmed Raza
Shan E Ahmed Raza · 1×
Citations per year, relative to Shan E Ahmed Raza
Shan E Ahmed Raza · 1×

Countries citing papers authored by Shan E Ahmed Raza

Since Specialization
Citations

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

Fields of papers citing papers by Shan E Ahmed Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan E Ahmed Raza. 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 Shan E Ahmed Raza. The network helps show where Shan E Ahmed Raza may publish in the future.

Co-authorship network of co-authors of Shan E Ahmed Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Shan E Ahmed Raza. A scholar is included among the top collaborators of Shan E Ahmed Raza 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 Shan E Ahmed Raza. Shan E Ahmed Raza 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 0
2 1
3 3
4 1
5 22
6 12
7 11
8 13
9 22
10 5
11 20
12 8
13 52
14 5
15 8
16 10
17 150
18 37
19
A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space
2
20 159

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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