Shahein Tajmir

1.7k citations
19 papers · 1.2k indexed · 2 hit papers · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Artificial Intelligence in Healthcare and Education (3 papers)Medical Imaging Techniques and Applications (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Shahein Tajmir

18 papers receiving 1.1k citations

Hit Papers

Fully Automated Deep Learning System for Bone Age Assessment201720262020202320172018100200300

Peers

Shahein Tajmir
Comparison fields: 5 of 132
  • Radiology, Nuclear Medicine and Imaging 505
  • Health Informatics 271
  • Biomedical Engineering 244
  • Artificial Intelligence 222
  • Archeology 174
Replace Phillip M. Cheng with:
Phillip M. Cheng United States
Felipe Kitamura Brazil
Ian Pan United States
Jeroen Bertels Belgium
Simukayi Mutasa United States
J. Raymond Geis United States
Gabriel Chartrand Canada
Sehyo Yune South Korea
Eugene Vorontsov Canada
Kyu-Hwan Jung South Korea
Shahein Tajmir relative to Phillip M. Cheng United States Phillip M. Cheng's profile →
Citations per field
00.5×10×15.8×
Phillip M. Cheng · 1×
Citations per year

Countries citing papers authored by Shahein Tajmir

Since Specialization
Citations

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

Fields of papers citing papers by Shahein Tajmir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahein Tajmir

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 8
3 4
4 33
5 1
6 35
7 10
8 2
9 89
10 30
11 70
12
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasetsbreakdown →
309
13 13
14 21
15 123
16 39
17
Fully Automated Deep Learning System for Bone Age Assessmentbreakdown →
319
18 26
19 20

About Shahein Tajmir

Shahein Tajmir is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Emergency Medical Services, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (271 citations), Radiology, Nuclear Medicine and Imaging (505 citations) and Oral Surgery (139 citations). Shahein Tajmir has collaborated with scholars based in United States and Germany. Frequent co-authors include Synho Do, Hyunkwang Lee, Tarik K. Alkasab, Sehyo Yune, Jenny Lee, Garry Choy, Myeongchan Kim, Mohammad Mansouri, Michael H. Lev and Ramón González. Their work appears in journals such as New England Journal of Medicine, Scientific Reports and American Journal of Roentgenology.

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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