Tarik K. Alkasab
- Radiology, Nuclear Medicine and Imaging top 2%
- Health Informatics top 0.2%
- Biomedical Engineering top 10%
- Artificial Intelligence top 10%
- Archeology top 2%
- Co-authors
- Shahein TajmirGarry ChoyHyunkwang LeeJenny LeeSynho DoBernardo C. BizzoHani H. AbujudehH. Benjamin Harvey
- Topics
- Radiology practices and education (25 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Radiation Dose and Imaging (11 papers)
- Partner nations
- United StatesSouth KoreaGreece
In The Last Decade
Tarik K. Alkasab
50 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Radiology, Nuclear Medicine and Imaging 754
- Health Informatics 360
- Biomedical Engineering 267
- Artificial Intelligence 143
- Archeology 132
Countries citing papers authored by Tarik K. Alkasab
This map shows the geographic impact of Tarik K. Alkasab'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 Tarik K. Alkasab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarik K. Alkasab more than expected).
Fields of papers citing papers by Tarik K. Alkasab
This network shows the impact of papers produced by Tarik K. Alkasab. 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 Tarik K. Alkasab. The network helps show where Tarik K. Alkasab may publish in the future.
Co-authorship network of co-authors of Tarik K. Alkasab
This figure shows the co-authorship network connecting the top 25 collaborators of Tarik K. Alkasab. A scholar is included among the top collaborators of Tarik K. Alkasab 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 Tarik K. Alkasab. Tarik K. Alkasab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 70 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 77 | |
| 9 | 70 | |
| 10 | 29 | |
| 11 | 30 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 105 | |
| 15 | 23 | |
| 16 | 36 | |
| 17 | 24 | |
| 18 | Transforming Medical and Health Science Education at Tufts University | 3 |
| 19 | 18 | |
| 20 | 1 |
About Tarik K. Alkasab
Tarik K. Alkasab is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiology practices and education (25 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Radiation Dose and Imaging (11 papers). The work is most often cited by research in Health Informatics (360 citations), Radiology, Nuclear Medicine and Imaging (754 citations) and Family Practice (62 citations). Tarik K. Alkasab has collaborated with scholars based in United States, South Korea and Greece. Frequent co-authors include Shahein Tajmir, Garry Choy, Hyunkwang Lee, Jenny Lee, Synho Do, Bernardo C. Bizzo, Hani H. Abujudeh, H. Benjamin Harvey, Renata R. Almeida and Pari V. Pandharipande. Their work appears in journals such as New England Journal of Medicine, Circulation and PLoS ONE.
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.