Bayode Ogunleye

496 citations
15 papers · 188 indexed · h-index 8
Topics
Sentiment Analysis and Opinion Mining (3 papers)Stock Market Forecasting Methods (2 papers)Advanced Text Analysis Techniques (2 papers)
Journals
SHILAP Revista de lepidopterologíaApplied SciencesArtificial Intelligence Review
Partner nations
United KingdomLithuania

In The Last Decade

Bayode Ogunleye

14 papers receiving 180 citations

Peers

Bayode Ogunleye
Comparison fields: 5 of 65
  • Artificial Intelligence 65
  • Computer Science Applications 37
  • Health Informatics 27
  • Information Systems 25
  • Management Science and Operations Research 21
Replace Leonardo Banh with:
Leonardo Banh Germany
Agathe Balayn Netherlands
Chiraz Anane United Arab Emirates
Peter Fernández United States
Haoming Wang China
Danula Hettiachchi Australia
Christopher Dann Australia
Subhajit Panda India
Fairuz Iqbal Maulana Indonesia
Bayode Ogunleye relative to Leonardo Banh Germany Leonardo Banh's profile →
Citations per field
00.5×
Leonardo Banh · 1×
Citations per year

Countries citing papers authored by Bayode Ogunleye

Since Specialization
Citations

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

Fields of papers citing papers by Bayode Ogunleye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bayode Ogunleye

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 4
5 11
6 5
7 58
8 11
9 1
10 11
11 5
12 11
13 17
14 20
15 28

About Bayode Ogunleye

Bayode Ogunleye is a scholar working on Health Informatics, General Social Sciences and Finance, having authored 15 papers that have together received 188 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Stock Market Forecasting Methods (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (27 citations), Computer Science Applications (37 citations) and General Social Sciences (7 citations). Bayode Ogunleye has collaborated with scholars based in United Kingdom and Lithuania. Frequent co-authors include Hemlata Sharma, Oluwaseun Ajao, Olamilekan Shobayo, Laurence Hirsch, Modupe Odusami, Bárbara S. Lancho-Barrantes and Robin Hirsch. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Artificial Intelligence Review.

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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