Temitope Mapayi

486 citations
32 papers · 297 · h-index 9

Impact in

Papers in

Temitope Mapayi

30 papers receiving 276 citations

Peers

Temitope Mapayi
Comparison fields: 5 of 68
  • Ophthalmology 98
  • Radiology, Nuclear Medicine and Imaging 128
  • Computer Vision and Pattern Recognition 111
  • Plant Science 59
  • Analytical Chemistry 15
Replace Nilamani Bhoi with:
Nilamani Bhoi India
Shaukat Hayat China
S. Uma Maheswari India
Suresh Guluwadi India
Haobijam Basanta Taiwan
Md Tanzim Reza Bangladesh
G. Kalyani India
Ravi Kamble India
R. Geetha India
Zhencun Jiang China
Temitope Mapayi relative to Nilamani Bhoi India Nilamani Bhoi's profile →
Citations per field
00.5×3.3×
Nilamani Bhoi · 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 9 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201956
3 201527
4 201526
5 202119
6 201618
7 202016
8 202111
9 20208
10 20208
11 20167
12 20195
13 20205
14 20204
15 20204
16 20154
17 20203
18 20193
19 20153
20 20182

About Temitope Mapayi

Temitope Mapayi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Information Systems and Computer Networks and Communications, having authored 32 papers that have together received 297 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Glaucoma and retinal disorders (9 papers), Digital Imaging for Blood Diseases (7 papers), Retinal Diseases and Treatments (3 papers), Video Surveillance and Tracking Methods (3 papers), Smart Agriculture and AI (3 papers), Medical Image Segmentation Techniques (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Ophthalmology (98 citations), Radiology, Nuclear Medicine and Imaging (128 citations), Computer Vision and Pattern Recognition (111 citations), Plant Science (59 citations) and Analytical Chemistry (15 citations). Temitope Mapayi has collaborated with scholars based in South Africa and Nigeria. Frequent co-authors include Jules‐Raymond Tapamo, Pius Adewale Owolawi, Serestina Viriri, Kehinde O. Odeyemi, Adedayo Adio, J. S. Ojo, Sunday O. Ojo, F. Ibikunle and Emmanuel Gbenga Dada. Their work appears in journals such as Image Analysis & Stereology, Computational and Mathematical Methods in Medicine, International Journal of Advanced Robotic Systems, Landmark University Repository (Landmark University) and 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

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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