Bay Arinze

36 papers and 1.3k indexed citations
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About

Bay Arinze is a scholar working on Management Information Systems, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Bay Arinze has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Information Systems, 8 papers in Information Systems and 8 papers in Management Science and Operations Research. Recurrent topics in Bay Arinze’s work include Big Data and Business Intelligence (8 papers), Technology Adoption and User Behaviour (7 papers) and Knowledge Management and Sharing (5 papers). Bay Arinze is often cited by papers focused on Big Data and Business Intelligence (8 papers), Technology Adoption and User Behaviour (7 papers) and Knowledge Management and Sharing (5 papers). Bay Arinze collaborates with scholars based in United States. Bay Arinze's co-authors include Catherine M. Ridings, David Gefen, Murugan Anandarajan, Seung‐Lae Kim, Jamie Burton, P.N. SubbaNarasimha, Qizhi Dai, Fariborz Y. Partovi, Magid Igbaria and Snehamay Banerjee and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Information & Management.

In The Last Decade

Co-authorship network of co-authors of Bay Arinze

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

Fields of papers citing papers by Bay Arinze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bay Arinze

Since Specialization
Citations

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

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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2026