May Sadik

929 citations
22 papers · 560 · h-index 11

Impact in

Papers in

May Sadik

20 papers receiving 548 citations

Peers

May Sadik
Comparison fields: 5 of 45
  • Radiology, Nuclear Medicine and Imaging 244
  • Health Informatics 14
  • Pulmonary and Respiratory Medicine 133
  • Oral Surgery 21
  • Biomedical Engineering 95
Replace Reza Kaboteh with:
Reza Kaboteh Sweden
Johannes Ulén Sweden
Chuanmiao Xie China
Rushuang Mao China
Yixin Hu China
Ronald L. Perrin United States
Sungwon Ham South Korea
P. De Marco Italy
M Jermoumi United States
Ngoneh Jallow United States
May Sadik relative to Reza Kaboteh Sweden Reza Kaboteh's profile →
Citations per field
00.5×2.6×
Reza Kaboteh · 1×
Citations per year

Countries citing papers authored by May Sadik

Since Specialization
Citations

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

Fields of papers citing papers by May Sadik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside May Sadik, 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 May Sadik Line = papers co-authored together May Sadik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008102
2 201994
3 200872
4 200965
5 200655
6 201539
7 201931
8 201725
9 201819
10 202112
11 201010
12 20149
13 20236
14
Computer-Assisted Diagnosis for the Interpretation of Bone Scintigraphy A new approach to improve diagnostic accuracy
20095
15 20224
16 20043
17 20183
18 20093
19 20182
20
Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images
20171

About May Sadik

May Sadik is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Biomedical Engineering and Oncology, having authored 22 papers that have together received 560 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Advanced X-ray and CT Imaging (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), AI in cancer detection (2 papers), Bone health and treatments (2 papers) and Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (244 citations), Health Informatics (14 citations), Pulmonary and Respiratory Medicine (133 citations), Oral Surgery (21 citations) and Biomedical Engineering (95 citations). May Sadik has collaborated with scholars based in Sweden, Denmark and India. Frequent co-authors include Lars Edenbrandt, Madis Suurküla, Peter Höglund, Mattias Ohlsson, Elin Trägårdh, Olof Enqvist, Reza Kaboteh, Johannes Ulén, Jane Angel Simonsen and Poul Flemming Høilund‐Carlsen. Their work appears in journals such as Clinical Physiology and Functional Imaging, Journal of Nuclear Medicine, Scientific Reports, Nuclear Medicine Communications and European Journal of Radiology.

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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