Idowu Aruleba

13 total papers · 4.3k total citations
5 papers, 89 citations indexed

About

Idowu Aruleba is a scholar working on Artificial Intelligence, Accounting and Health Information Management. According to data from OpenAlex, Idowu Aruleba has authored 5 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Accounting and 2 papers in Health Information Management. Recurrent topics in Idowu Aruleba's work include Financial Distress and Bankruptcy Prediction (3 papers), Artificial Intelligence in Healthcare (2 papers) and Imbalanced Data Classification Techniques (2 papers). Idowu Aruleba is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Artificial Intelligence in Healthcare (2 papers) and Imbalanced Data Classification Techniques (2 papers). Idowu Aruleba collaborates with scholars based in South Africa, United States and Canada. Idowu Aruleba's co-authors include George Obaido, Nimibofa Ayawei, Blessing Ogbuokiri, Kehinde Aruleba, Ibomoiye Domor Mienye, Raphael Taiwo Aruleba, Tayo Alex Adekiya, Ebenezer Esenogho, Yanxia Sun and Sydney Mambwe Kasongo and has published in prestigious journals such as IEEE Access, Applied Sciences and Bioengineering.

In The Last Decade

Idowu Aruleba

4 papers receiving 83 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Idowu Aruleba	39	22	14	13	8	5	89
Viswanatha Reddy Allugunti	93 2.4×	15 0.7×	56 4.0×	19 1.5×	2 0.3×	5	225
Shirly Wang	81 2.1×	23 1.0×	35 2.5×	12 0.9×		4	177
Alicia Curth	44 1.1×	14 0.6×	27 1.9×	10 0.8×		6	137
Sum Yi Wong	83 2.1×	39 1.8×	67 4.8×	14 1.1×	5 0.6×	4	241
Alexander Davydov	25 0.6×	20 0.9×	7 0.5×	13 1.0×		5	80
Shams Nafisa Ali	36 0.9×	25 1.1×	45 3.2×	15 1.2×		8	215
Sumedh Sontakke	23 0.6×	38 1.7×	4 0.3×	16 1.2×		8	79
Farhana Yasmin	71 1.8×	55 2.5×	26 1.9×	22 1.7×		11	218
Anima Singh	77 2.0×	56 2.5×	11 0.8×	28 2.2×	2 0.3×	7	141
Nkiruka Odu	19 0.5×	14 0.6×	7 0.5×	6 0.5×		5	77

Countries citing papers authored by Idowu Aruleba

Since Specialization

Citations

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

Fields of papers citing papers by Idowu Aruleba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Idowu Aruleba

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

All Works

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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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