Temitope Mapayi

495 citations
40 papers · 375 · h-index 10

Impact in

Papers in

Temitope Mapayi

37 papers receiving 351 citations

Peers

Temitope Mapayi
Comparison fields: 5 of 69
  • Ophthalmology 139
  • Radiology, Nuclear Medicine and Imaging 173
  • Computer Vision and Pattern Recognition 132
  • Analytical Chemistry 21
  • Plant Science 71
Replace Shaukat Hayat with:
Shaukat Hayat China
Nilamani Bhoi India
Gunjan Kalyani India
Ravi M. Kamble India
G. Charlyn Pushpa Latha India
S. Uma Maheswari India
Karuna Arava India
Md Tanzim Reza Bangladesh
Nidhal K. El Abbadi Iraq
Priyadarshini Adyasha Pattanaik India
Temitope Mapayi relative to Shaukat Hayat China Shaukat Hayat's profile →
Citations per field
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Shaukat Hayat · 1×
Citations per year

Countries citing papers authored by Temitope Mapayi

Since Specialization
Citations

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

Fields of papers citing papers by Temitope Mapayi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Temitope Mapayi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Temitope Mapayi Line = papers co-authored together Temitope Mapayi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201968
2 201566
3 201532
4 201530
5 201623
6 202021
7 202121
8 202114
9 201413
10 202010
11 202010
12 20167
13 20156
14 20206
15 20195
16 20154
17 20204
18 20204
19 20204
20 20183

About Temitope Mapayi

Temitope Mapayi is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems and Human-Computer Interaction, having authored 40 papers that have together received 375 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Glaucoma and retinal disorders (14 papers), Digital Imaging for Blood Diseases (9 papers), Retinal Diseases and Treatments (5 papers), Video Surveillance and Tracking Methods (3 papers), Medical Image Segmentation Techniques (3 papers), Smart Agriculture and AI (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Ophthalmology (139 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Computer Vision and Pattern Recognition (132 citations), Analytical Chemistry (21 citations) and Plant Science (71 citations). Temitope Mapayi has collaborated with scholars based in South Africa and Nigeria. Frequent co-authors include Jules‐Raymond Tapamo, Serestina Viriri, Pius Adewale Owolawi, Kehinde Oluwasesan Odeyemi, Joseph Sunday Ojo, Adedayo Omobolanle Adio, Emmanuel Gbenga Dada, Chunling Tu, Sunday Olusegun Ojo and Francis A. Ibikunle. Their work appears in journals such as Image Analysis & Stereology, Computational and Mathematical Methods in Medicine, Lecture notes in computer science, International Journal of Advanced Robotic Systems and Advances in intelligent systems and computing.

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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