Kingsley Okoye

1.2k total citations
38 papers, 448 citations indexed

About

Kingsley Okoye is a scholar working on Information Systems, Management Information Systems and Computer Science Applications. According to data from OpenAlex, Kingsley Okoye has authored 38 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 10 papers in Management Information Systems and 9 papers in Computer Science Applications. Recurrent topics in Kingsley Okoye's work include Online Learning and Analytics (9 papers), Business Process Modeling and Analysis (9 papers) and Service-Oriented Architecture and Web Services (7 papers). Kingsley Okoye is often cited by papers focused on Online Learning and Analytics (9 papers), Business Process Modeling and Analysis (9 papers) and Service-Oriented Architecture and Web Services (7 papers). Kingsley Okoye collaborates with scholars based in Mexico, United States and United Kingdom. Kingsley Okoye's co-authors include Samira Hosseini, José Escamilla, Arturo Arrona‐Palacios, Claudia Camacho-Zúñiga, Hussein Haruna, Elena Arias Ortiz, Julius T. Nganji, Usman Naeem, Abdel‐Rahman H. Tawil and Elyes Lamine and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Kingsley Okoye

34 papers receiving 405 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kingsley Okoye Mexico 12 168 165 130 65 41 38 448
Samar Ghazal Malaysia 10 197 1.2× 129 0.8× 88 0.7× 57 0.9× 45 1.1× 15 547
Roslee Ahmad Malaysia 10 189 1.1× 214 1.3× 79 0.6× 50 0.8× 22 0.5× 46 506
Jiří Zounek Czechia 9 182 1.1× 113 0.7× 101 0.8× 42 0.6× 35 0.9× 49 359
Sujit Kumar Basak South Africa 8 262 1.6× 230 1.4× 96 0.7× 40 0.6× 36 0.9× 18 520
José Escamilla Mexico 11 193 1.1× 158 1.0× 132 1.0× 47 0.7× 28 0.7× 22 454
Cornelia Connolly Ireland 11 220 1.3× 126 0.8× 112 0.9× 30 0.5× 64 1.6× 64 448
Thomas Lancaster United Kingdom 16 110 0.7× 133 0.8× 101 0.8× 182 2.8× 22 0.5× 45 814
Abdulrahman M. Al-Zahrani Saudi Arabia 9 349 2.1× 128 0.8× 125 1.0× 78 1.2× 53 1.3× 21 614
Rogers Kaliisa Norway 12 195 1.2× 195 1.2× 169 1.3× 70 1.1× 104 2.5× 30 563
Isabel Hilliger Chile 12 209 1.2× 111 0.7× 271 2.1× 29 0.4× 80 2.0× 48 468

Countries citing papers authored by Kingsley Okoye

Since Specialization
Citations

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

Fields of papers citing papers by Kingsley Okoye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kingsley Okoye

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

All Works

20 of 20 papers shown
1.
Lozano, Juan Manuel, et al.. (2025). AI and VR integration for enhancing ethical decision-making skills and competency of learners in higher education. International Journal of STEM Education. 12(1).
3.
Umadevi, V., et al.. (2025). Ensemble Method of Pre-Trained Models for Classification of Skin Lesion Images. Applied Sciences. 15(24). 13083–13083.
4.
Okoye, Kingsley, et al.. (2024). Assessment of Students’ Learning Outcome and Competency through a Blend of Knowledge and Practical Ability. International Journal of Instruction. 17(2). 561–582. 3 indexed citations
5.
Okoye, Kingsley & Samira Hosseini. (2024). R Programming. 8 indexed citations
6.
Okoye, Kingsley, Syed Mohammed Shamsul Islam, Usman Naeem, & Samira Hosseini. (2023). Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining. 1–6. 1 indexed citations
8.
Okoye, Kingsley, et al.. (2022). Impact and future of telemedicine amidst the COVID-19 pandemic: a systematic review of the state-of-the-art in Latin America. Ciência & Saúde Coletiva. 27(8). 3013–3030. 10 indexed citations
9.
Okoye, Kingsley, Hussein Haruna, Arturo Arrona‐Palacios, et al.. (2022). Impact of digital technologies upon teaching and learning in higher education in Latin America: an outlook on the reach, barriers, and bottlenecks. Education and Information Technologies. 28(2). 2291–2360. 90 indexed citations
11.
Okoye, Kingsley, et al.. (2021). Towards teaching analytics: a contextual model for analysis of students’ evaluation of teaching through text mining and machine learning classification. Education and Information Technologies. 27(3). 3891–3933. 45 indexed citations
12.
Haruna, Hussein, Zamzami Zainuddin, Kingsley Okoye, et al.. (2021). Improving instruction and sexual health literacy with serious games and gamification interventions: an outlook to students’ learning outcomes and gender differences. Interactive Learning Environments. 31(4). 2392–2410. 17 indexed citations
13.
Okoye, Kingsley, et al.. (2021). Technology-mediated teaching and learning process: A conceptual study of educators’ response amidst the Covid-19 pandemic. Education and Information Technologies. 26(6). 7225–7257. 73 indexed citations
14.
Okoye, Kingsley, S. M. Riazul Islam, Usman Naeem, & Safura Sharifi. (2020). Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. UEL Research Repository (University of East London). 4 indexed citations
15.
Arrona‐Palacios, Arturo, et al.. (2020). Does professors' gender impact how students evaluate their teaching and the recommendations for the best professor?. Heliyon. 6(10). e05313–e05313. 12 indexed citations
16.
Okoye, Kingsley, et al.. (2020). Impact of students evaluation of teaching: a text analysis of the teachers qualities by gender. International Journal of Educational Technology in Higher Education. 17(1). 43 indexed citations
17.
Okoye, Kingsley. (2019). A Systematic Review of Process Modelling Methods and its Application for Personalised Adaptive Learning Systems. Journal of international technology and information management. 27(3). 23–46. 4 indexed citations
18.
Okoye, Kingsley. (2019). Mining Useful Information from Big Data Models Through Semantic-based Process Modelling and Analysis. Communications of the IIMA. 16(2). 1 indexed citations
19.
Okoye, Kingsley, Usman Naeem, Syed Mohammed Shamsul Islam, Abdel‐Rahman H. Tawil, & Elyes Lamine. (2017). PROCESS MODELS DISCOVERY AND TRACES CLASSIFICATION: A FUZZY-BPMN MINING APPROACH.. Journal of international technology and information management. 26(4). 2–50. 3 indexed citations
20.
Okoye, Kingsley, Usman Naeem, & Syed Mohammed Shamsul Islam. (2017). Semantic fuzzy mining: Enhancement of process models and event logs analysis from syntactic to conceptual level. International Journal of Hybrid Intelligent Systems. 14(1-2). 67–98. 5 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.

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