Bay Arinze

2.2k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Bay Arinze is a scholar working on Management Information Systems, Information Systems and Management and Information Systems. According to data from OpenAlex, Bay Arinze has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Information Systems, 9 papers in Information Systems and Management and 8 papers in Information Systems. Recurrent topics in Bay Arinze's work include Technology Adoption and User Behaviour (9 papers), Big Data and Business Intelligence (8 papers) and Information Technology Governance and Strategy (6 papers). Bay Arinze is often cited by papers focused on Technology Adoption and User Behaviour (9 papers), Big Data and Business Intelligence (8 papers) and Information Technology Governance and Strategy (6 papers). Bay Arinze collaborates with scholars based in United States. Bay Arinze's co-authors include David Gefen, Catherine M. Ridings, Murugan Anandarajan, Seung‐Lae Kim, P.N. SubbaNarasimha, Jamie Burton, Qizhi Dai, Fariborz Y. Partovi, Magid Igbaria and Snehamay Banerjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Bay Arinze

40 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

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.

Some antecedents and effects of trust in virtual communities

2002 1.0k citations Catherine M. Ridings, David Gefen et al. The Journal of Strategic Information Systems profile →

Peers

Bay Arinze

SPS

COMMU

ISM

OBHRM

MARKE

Gee‐Woo Bock South Korea

Heng‐Li Yang Taiwan

Mark T. Dishaw United States

Mark Srite United States

Zhongyun Zhou China

Juliana Sutanto Switzerland

Juan Carlos Roca Spain

Alexander Hars United States

Cheng‐Kiang Farn Taiwan

Bernadette Szajna United States

Gee‐Woo Bock South Korea

Bay Arinze

896 ×1.0

SPS

654 ×1.0

COMMU

783 ×1.3

ISM

370 ×1.7

OBHRM

314 ×1.5

MARKE

Citations per year, relative to Bay Arinze Bay Arinze (= 1×) peers Gee‐Woo Bock

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).

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.

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.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Arinze, Bay. (2022). Teaching Experiential Data Analytics Using an Election Simulation. SHILAP Revista de lepidopterología. 31(3). 273–285. 1 indexed citations

2.

Arinze, Bay. (2014). A model for delivering smart healthcare using patient-facing dashboards, Clinical DSS and Electronic Health Records. 79. 1–4. 1 indexed citations

3.

Arinze, Bay & Murugan Anandarajan. (2013). Adapting cloud computing service models to subscriber requirements. Wireless Personal Multimedia Communications. 1–5. 2 indexed citations

4.

Anandarajan, Murugan, et al.. (2010). Generation Y Adoption of Instant Messaging: An Examination of the Impact of Social Usefulness and Media Richness on Use Richness. IEEE Transactions on Professional Communication. 53(2). 132–143. 37 indexed citations

5.

Arinze, Bay, et al.. (2008). End User Types. Journal of Organizational and End User Computing. 20(2). 61–81. 3 indexed citations

6.

Ridings, Catherine M., David Gefen, & Bay Arinze. (2006). Psychological Barriers: Lurker and Poster Motivation and Behavior in Online Communities. Communications of the Association for Information Systems. 18. 175 indexed citations

7.

Arinze, Bay & Murugan Anandarajan. (2003). A framework for using OO mapping methods to rapidly configure ERP systems. Communications of the ACM. 46(2). 61–65. 16 indexed citations

8.

Ridings, Catherine M., David Gefen, & Bay Arinze. (2002). Some antecedents and effects of trust in virtual communities. The Journal of Strategic Information Systems. 11(3-4). 271–295. 1029 indexed citations breakdown →

9.

Anandarajan, Murugan & Bay Arinze. (1999). A Comparative Study of Multilayer Perceptron Topologies for the Selection of Forecasting Methods. Journal of Computer Information Systems. 39(2). 75–80. 1 indexed citations

10.

Anandarajan, Murugan & Bay Arinze. (1998). Matching client/server processing architectures with information processing requirements: A contingency study. Information & Management. 34(5). 265–274. 17 indexed citations

11.

Arinze, Bay, Seung‐Lae Kim, & Murugan Anandarajan. (1997). Combining and selecting forecasting models using rule based induction. Computers & Operations Research. 24(5). 423–433. 18 indexed citations

12.

Arinze, Bay, Seung‐Lae Kim, & Avijit Banerjee. (1995). A multicriteria model for supporting setup reduction investment decisions. Production Planning & Control. 6(5). 413–420. 6 indexed citations

13.

Arinze, Bay & P.N. SubbaNarasimha. (1994). An experimental investigation of the predictive accuracy of induction and regression. Expert Systems with Applications. 7(4). 535–544. 1 indexed citations

14.

Arinze, Bay & Snehamay Banerjee. (1992). A framework for effective data collection, usage and maintenance of DSS. Information & Management. 22(5). 257–268. 1 indexed citations

15.

Arinze, Bay. (1992). A user enquiry model for DSS requirements analysis: a framework and case study. International Journal of Man-Machine Studies. 37(2). 241–264. 3 indexed citations

16.

Arinze, Bay & Abhijit Banerjee. (1992). A knowledge-based approach for facilities location planning. Expert Systems with Applications. 5(1-2). 131–139. 3 indexed citations

17.

Arinze, Bay, et al.. (1990). Information derivability analysis for quality assurance information management systems. Computers & Industrial Engineering. 19(1-4). 249–253. 1 indexed citations

18.

Arinze, Bay. (1990). Market planning with computer models: A case study in the software industry. Industrial Marketing Management. 19(2). 117–129. 17 indexed citations

19.

Arinze, Bay. (1989). Developing decision support systems from a model of the DSS/user interface. 166–182. 2 indexed citations

20.

Arinze, Bay, et al.. (1989). A methodology for knowledge based decision support for facilities layout planning. Computers & Industrial Engineering. 17(1-4). 31–36. 8 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.

Explore authors with similar magnitude of impact