Rasheed Omobolaji Alabi

1.2k citations
29 papers · 780 indexed · 1 hit paper · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (17 papers)Head and Neck Cancer Studies (17 papers)AI in cancer detection (9 papers)
Partner nations
FinlandSwedenLibya

In The Last Decade

Rasheed Omobolaji Alabi

27 papers receiving 753 citations

Hit Papers

Machine learning explainability in nasopharyngeal cancer ...20232026202420252023255075

Peers

Rasheed Omobolaji Alabi
Comparison fields: 5 of 112
  • Radiology, Nuclear Medicine and Imaging 351
  • Artificial Intelligence 298
  • Otorhinolaryngology 272
  • Health Informatics 126
  • Oncology 100
Replace Maryam Jessri with:
Maryam Jessri Australia
June Young Choi South Korea
Özer Çelik Türkiye
Yubo Liu China
Barbaros S. Erdal United States
Wai Lup Wong United Kingdom
Behzad Forghani Canada
Jason Cai United States
Ge-Ge Wu China
Aydın Demircioğlu Germany
Rasheed Omobolaji Alabi relative to Maryam Jessri Australia Maryam Jessri's profile →
Citations per field
00.5×6.6×
Maryam Jessri · 1×
Citations per year

Countries citing papers authored by Rasheed Omobolaji Alabi

Since Specialization
Citations

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

Fields of papers citing papers by Rasheed Omobolaji Alabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rasheed Omobolaji Alabi. 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 Rasheed Omobolaji Alabi. The network helps show where Rasheed Omobolaji Alabi may publish in the future.

Co-authorship network of co-authors of Rasheed Omobolaji Alabi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 10
4 1
5 1
6 3
7 1
8 2
9 37
10 9
11 7
12 1
13 38
14 17
15 52
16 26
17 111
18 60
19 79
20 105

About Rasheed Omobolaji Alabi

Rasheed Omobolaji Alabi is a scholar working on Health Informatics, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 780 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), Head and Neck Cancer Studies (17 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Health Informatics (126 citations), Otorhinolaryngology (272 citations) and Radiology, Nuclear Medicine and Imaging (351 citations). Rasheed Omobolaji Alabi has collaborated with scholars based in Finland, Sweden and Libya. Frequent co-authors include Antti Mäkitie, Alhadi Almangush, Mohammed Elmusrati, Ilmo Leivo, Matti Pirinen, Tuula Salo, Ricardo D. Coletta, Omar Youssef, Íris Sawazaki‐Calone and Luiz Paulo Kowalski. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

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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