Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Supervised Machine Learning Algorithms: Classification and Comparison
2017580 citationsOludele Awodele et al.International Journal of Computer Trends and Technologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Oludele Awodele
Since
Specialization
Citations
This map shows the geographic impact of Oludele Awodele'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 Oludele Awodele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oludele Awodele more than expected).
This network shows the impact of papers produced by Oludele Awodele. 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 Oludele Awodele. The network helps show where Oludele Awodele may publish in the future.
Co-authorship network of co-authors of Oludele Awodele
This figure shows the co-authorship network connecting the top 25 collaborators of Oludele Awodele.
A scholar is included among the top collaborators of Oludele Awodele 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 Oludele Awodele. Oludele Awodele is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Awodele, Oludele, et al.. (2019). A Quality of Experience Hexagram Model for Mobile Network Operators' Multimedia Services and Applications. 34(1). 95–105.2 indexed citations
Awodele, Oludele, et al.. (2017). Systematic Review of Persuasive Health Technology Design and Evaluation Models. 17(1).2 indexed citations
8.
Awodele, Oludele, et al.. (2017). Implications of Over-The-Top (OTT) Services on National Security. Journals & Books Hosting (International Knowledge Sharing Platform). 8(9). 15–21.2 indexed citations
Awodele, Oludele, et al.. (2016). A prospective study of adverse events to antiretroviral therapy in HIV- infected adults in Ekiti State, Nigeria.. PubMed. 45(2). 179–187.1 indexed citations
Awodele, Oludele, et al.. (2015). Prevalence of intestinal and urinary parasites among food-handlers in Ilishan-Remo, Ogun State, Nigeria. Nigerian Journal of Parasitology. 36(2). 113–118.
13.
Awodele, Oludele, et al.. (2015). Broadband Internet Penetration in Nigeria: A Review. 2(1). 1–7.4 indexed citations
Fawole, Olufunmilayo I., et al.. (2011). Urinary schistosomiasis: Water contact frequency and infectivity among secondary school students in Ibadan, Nigeria. Nigerian Journal of Parasitology. 32(1).9 indexed citations
17.
Akintonwa, A, et al.. (2009). The Hazards of Non-Ionizing Radiation of Telecommunication Mast in an Urban Area of Lagos, Nigeria. African Journal of Biomedical Research. 12(1). 31–35.12 indexed citations
18.
Awodele, Oludele, et al.. (2009). Study of Sexuality among Adolescent Students of a Secondary School in Ilorin, Nigeria.. African Journal of Biomedical Research. 12(2). 89–94.1 indexed citations
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.