Abdus Saboor

992 total citations · 2 hit papers
15 papers, 627 citations indexed

About

Abdus Saboor is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Abdus Saboor has authored 15 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Health Information Management. Recurrent topics in Abdus Saboor's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Artificial Intelligence in Healthcare (3 papers). Abdus Saboor is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Artificial Intelligence in Healthcare (3 papers). Abdus Saboor collaborates with scholars based in China, Pakistan and Saudi Arabia. Abdus Saboor's co-authors include Jianping Li, Amin Ul Haq, Jalaluddin Khan, Salah Ud Din, Asif Khan, Amjad Ali, Wang Zhou, Samad Wali, Ghufran Ahmad Khan and Sultan Ahmad and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Fusion.

In The Last Decade

Abdus Saboor

12 papers receiving 584 citations

Hit Papers

Heart Disease Identification Method Using Machine Learnin... 2020 2026 2022 2024 2020 2021 100 200 300

Peers

Abdus Saboor
Comparison fields: 5 of 74
  • Health Information Management 314
  • Artificial Intelligence 280
  • Information Systems 149
  • Radiology, Nuclear Medicine and Imaging 141
  • Sociology and Political Science 124
Replace Hager Saleh with:
Hager Saleh Egypt
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Sangeet Srivastava India
R. R. Rajalaxmi India
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Syed Muhammad Saqlain Pakistan
Bouabid El Ouahidi Morocco
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Hager Saleh Egypt View profile →
Citations per field, relative to Abdus Saboor
Abdus Saboor · 1×
Citations per year, relative to Abdus Saboor
Abdus Saboor · 1×

Countries citing papers authored by Abdus Saboor

Since Specialization
Citations

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

Fields of papers citing papers by Abdus Saboor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdus Saboor

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 17
5 8
6 4
7 0
8 1
9 2
10
A Novel Stacking Approach for Accurate Detection of Fake News breakdown →
125
11 48
12 15
13
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare breakdown →
392
14 7
15 4

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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