Abimbola Ayoola

416 citations
9 papers · 318 indexed · h-index 7
Topics
Radiology practices and education (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)scientometrics and bibliometrics research (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Abimbola Ayoola

8 papers receiving 314 citations

Peers

Abimbola Ayoola
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 128
  • Pulmonary and Respiratory Medicine 109
  • Epidemiology 69
  • Statistics, Probability and Uncertainty 52
  • Hepatology 51
Replace Ji Yoon Moon with:
Ji Yoon Moon South Korea
Annie Hung United States
Christopher E. Bayne United States
Hannah Warren United Kingdom
Bhumika Patel United States
Róisín Adams Ireland
Tae Hyup Kim South Korea
Tara Rosewall Canada
Peter J. Godolphin United Kingdom
Thomas Vreugdenburg Australia
Abimbola Ayoola relative to Ji Yoon Moon South Korea Ji Yoon Moon's profile →
Citations per field
00.5×3.3×
Ji Yoon Moon · 1×
Citations per year

Countries citing papers authored by Abimbola Ayoola

Since Specialization
Citations

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

Fields of papers citing papers by Abimbola Ayoola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abimbola Ayoola

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 15
3 75
4 16
5 6
6 84
7 10
8 9
9 103

About Abimbola Ayoola

Abimbola Ayoola is a scholar working on Statistics, Probability and Uncertainty, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 318 indexed citations. Recurring topics across this work include Radiology practices and education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (52 citations), Hepatology (51 citations) and Radiology, Nuclear Medicine and Imaging (128 citations). Abimbola Ayoola has collaborated with scholars based in United States and Germany. Frequent co-authors include Andrew B. Rosenkrantz, Richard Duszak, Kush Singh, Krishna Shanbhogue, Hersh Chandarana, Dominik Nickel, David H. Hoffman, Fei Han, David Hoffman and Samir S. Taneja. Their work appears in journals such as American Journal of Roentgenology, Biomolecules and Academic 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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