Sahadev Poudel

416 total citations
10 papers, 235 citations indexed

About

Sahadev Poudel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sahadev Poudel has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sahadev Poudel's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Sahadev Poudel is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Sahadev Poudel collaborates with scholars based in South Korea. Sahadev Poudel's co-authors include Sang-Woong Lee, Yoon Jae Kim, Duc My Vo, In-Pyo Hong and Chang Choi and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Soft Computing.

In The Last Decade

Sahadev Poudel

8 papers receiving 232 citations

Peers

Sahadev Poudel
Comparison fields: 5 of 61
  • Artificial Intelligence 101
  • Computer Vision and Pattern Recognition 84
  • Renewable Energy, Sustainability and the Environment 77
  • Radiology, Nuclear Medicine and Imaging 62
  • Oncology 47
Replace Adel Oulefki with:
Adel Oulefki Algeria
Thaweesak Trongtirakul United States
Yuxuan Chen China
Jinming Cao China
Lu Zhou China
Nouman Ahmad China
Masayuki Kobayashi Japan
Xiangyu Zhao China
Siqi Liang China
Shuli Cheng China
Adel Oulefki Algeria View profile →
Citations per field, relative to Sahadev Poudel
Sahadev Poudel · 1×
Citations per year, relative to Sahadev Poudel
Sahadev Poudel · 1×

Countries citing papers authored by Sahadev Poudel

Since Specialization
Citations

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

Fields of papers citing papers by Sahadev Poudel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahadev Poudel

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 12
3 5
4 42
5 3
6 1
7
Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision.
0
8 61
9 107
10 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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