Tayo Obafemi-Ajayi

771 citations
60 papers · 469 indexed · h-index 12
Topics
Autism Spectrum Disorder Research (9 papers)Machine Learning in Healthcare (8 papers)Handwritten Text Recognition Techniques (8 papers)
Partner nations
United StatesChinaQatar

In The Last Decade

Tayo Obafemi-Ajayi

54 papers receiving 456 citations

Peers

Tayo Obafemi-Ajayi
Comparison fields: 5 of 102
  • Molecular Biology 120
  • Epidemiology 110
  • Neurology 90
  • Complementary and alternative medicine 87
  • Cognitive Neuroscience 74
Replace Gaurav Singh Tomar with:
Gaurav Singh Tomar India
Aihua Ou China
Thomas J. Tucker United States
Benjamin Goudey Australia
Vikas Pareek India
Jean‐Philippe Couderc United States
Yiqi Chen China
Feixiong Cheng United States
Md Azam Hossain Bangladesh
Chandan Saha United States
Tayo Obafemi-Ajayi relative to Gaurav Singh Tomar India Gaurav Singh Tomar's profile →
Citations per field
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Gaurav Singh Tomar · 1×
Citations per year

Countries citing papers authored by Tayo Obafemi-Ajayi

Since Specialization
Citations

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

Fields of papers citing papers by Tayo Obafemi-Ajayi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tayo Obafemi-Ajayi. 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 Tayo Obafemi-Ajayi. The network helps show where Tayo Obafemi-Ajayi may publish in the future.

Co-authorship network of co-authors of Tayo Obafemi-Ajayi

This figure shows the co-authorship network connecting the top 25 collaborators of Tayo Obafemi-Ajayi. A scholar is included among the top collaborators of Tayo Obafemi-Ajayi 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 Tayo Obafemi-Ajayi. Tayo Obafemi-Ajayi 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 2
2 1
3 1
4 0
5 0
6 0
7 2
8 4
9 28
10 2
11 72
12 6
13 16
14 5
15 15
16 19
17 1
18
A Graph-Theoretic Clustering Methodology Based on Vertex-Attack Tolerance
4
19 35
20 3

About Tayo Obafemi-Ajayi

Tayo Obafemi-Ajayi is a scholar working on Health Informatics, Artificial Intelligence and Architecture, having authored 60 papers that have together received 469 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (9 papers), Machine Learning in Healthcare (8 papers) and Handwritten Text Recognition Techniques (8 papers). The work is most often cited by research in Complementary and alternative medicine (87 citations), Health Informatics (12 citations) and Neurology (90 citations). Tayo Obafemi-Ajayi has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Gayla R. Olbricht, Ye Duan, Daniel B. Hier, Donald C. Wunsch, Gady Agam, Dong Xu, Shao Li, Matthew S. Thimgan, Tao Ma and Gunes Ercal. Their work appears in journals such as PLoS ONE, IEEE Access and Journal of Autism and Developmental Disorders.

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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