Saad Nadeem

917 citations
44 papers · 515 · h-index 12

Impact in

Papers in

Saad Nadeem

44 papers receiving 504 citations

Peers

Saad Nadeem
Comparison fields: 5 of 85
  • Health Informatics 12
  • Radiation 65
  • Biophysics 41
  • Computer Graphics and Computer-Aided Design 25
  • Radiology, Nuclear Medicine and Imaging 122
Replace Pairash Saiviroonporn with:
Pairash Saiviroonporn Thailand
Donald J. Peck United States
Qianjin Feng China
Blake E. Dewey United States
Thomas Hartkens United Kingdom
William Gandler United States
Evan McCreedy United States
Stefano Pedemonte United Kingdom
Zhoubing Xu United States
Terence M. Peters Canada
Saad Nadeem relative to Pairash Saiviroonporn Thailand Pairash Saiviroonporn's profile →
Citations per field
00.5×4.1×
Pairash Saiviroonporn · 1×
Citations per year

Countries citing papers authored by Saad Nadeem

Since Specialization
Citations

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

Fields of papers citing papers by Saad Nadeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saad Nadeem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saad Nadeem Line = papers co-authored together Saad Nadeem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 202273
3 201931
4 201628
5 202219
6 201818
7 202017
8 202115
9 201614
10 201614
11 201614
12 202013
13 202211
14 202211
15 202011
16 202010
17 202010
18 20228
19 20178
20 20188

About Saad Nadeem

Saad Nadeem is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Oncology and Radiation, having authored 44 papers that have together received 515 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (8 papers), Advanced Radiotherapy Techniques (7 papers), AI in cancer detection (6 papers), Colorectal Cancer Screening and Detection (6 papers), Medical Imaging Techniques and Applications (5 papers), Advanced Vision and Imaging (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Health Informatics (12 citations), Radiation (65 citations), Biophysics (41 citations), Computer Graphics and Computer-Aided Design (25 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Saad Nadeem has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Arie Kaufman, Allen Tannenbaum, Xianfeng Gu, R. Vanguri, Joseph O. Deasy, Pengpeng Zhang, Travis J. Hollmann, Hedok Lee, Noah F. Greenwald and Michael Angelo. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Physics in Medicine and Biology, Scientific Reports, Medical Physics and Clinical Breast 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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