Marina Johnson

812 total citations
21 papers, 476 citations indexed

About

Marina Johnson is a scholar working on Management Information Systems, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Marina Johnson has authored 21 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 8 papers in Artificial Intelligence and 3 papers in Economics and Econometrics. Recurrent topics in Marina Johnson's work include Big Data and Business Intelligence (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Spreadsheets and End-User Computing (2 papers). Marina Johnson is often cited by papers focused on Big Data and Business Intelligence (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Spreadsheets and End-User Computing (2 papers). Marina Johnson collaborates with scholars based in United States, France and Türkiye. Marina Johnson's co-authors include Abdullah Albizri, Antoine Harfouche, Serhat Simsek, Nagen Nagarur, Salih Tutun, Samuel Fosso Wamba, Rashmi Jain, Chelsey Hill, Stanislav Mamonov and Ethné Swartz and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Information Management and Annals of Operations Research.

In The Last Decade

Marina Johnson

21 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Johnson United States 11 131 91 53 46 46 21 476
Abdullah Albizri United States 12 119 0.9× 83 0.9× 49 0.9× 53 1.2× 49 1.1× 23 447
David Askay United States 8 102 0.8× 89 1.0× 24 0.5× 69 1.5× 86 1.9× 16 463
Edward McFowland United States 6 153 1.2× 44 0.5× 56 1.1× 20 0.4× 51 1.1× 16 432
Marija Čubrić United Kingdom 10 86 0.7× 68 0.7× 27 0.5× 44 1.0× 48 1.0× 23 471
Chengcheng Liao China 6 96 0.7× 39 0.4× 27 0.5× 36 0.8× 67 1.5× 14 389
Jan Jöhnk Germany 8 89 0.7× 155 1.7× 69 1.3× 75 1.6× 44 1.0× 15 449
Martin Gersch Germany 12 141 1.1× 65 0.7× 53 1.0× 111 2.4× 64 1.4× 47 631
Seong No Yoon South Korea 8 167 1.3× 71 0.8× 222 4.2× 58 1.3× 54 1.2× 16 753
P. S. Varsha India 4 95 0.7× 49 0.5× 41 0.8× 26 0.6× 61 1.3× 6 282
Ekaterina Jussupow Germany 7 146 1.1× 51 0.6× 113 2.1× 14 0.3× 57 1.2× 14 431

Countries citing papers authored by Marina Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Marina Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Johnson. A scholar is included among the top collaborators of Marina Johnson 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 Marina Johnson. Marina Johnson 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.
Hill, Chelsey, et al.. (2024). Comparing programming languages for data analytics: Accuracy of estimation in Python and R. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(3). 4 indexed citations
2.
Johnson, Marina, et al.. (2023). Predicting Patient Length of Stay Using Artificial Intelligence to Assist Healthcare Professionals in Resource Planning and Scheduling Decisions. Journal of Global Information Management. 31(1). 1–14. 8 indexed citations
3.
Johnson, Marina, et al.. (2023). A machine learning decision support system for determining the primary factors impacting cancer survival and their temporal effect. SHILAP Revista de lepidopterología. 4. 100263–100263. 4 indexed citations
4.
Johnson, Marina & Ross A. Malaga. (2023). Exploring the relationship between YouTube video optimisation practices and video rankings for online marketing: a machine learning approach. RePEc: Research Papers in Economics. 7(2). 120–135. 3 indexed citations
5.
Han, Ying, Marina Johnson, Xiaojun Shan, & Mohammad T. Khasawneh. (2023). A multi-appointment patient scheduling system with machine learning and optimization. Decision Analytics Journal. 10. 100392–100392. 6 indexed citations
6.
Tutun, Salih, et al.. (2022). An AI-based Decision Support System for Predicting Mental Health Disorders. Information Systems Frontiers. 25(3). 1261–1276. 74 indexed citations
7.
Jain, Rashmi, et al.. (2022). An open system architecture framework for interoperability. International Journal of Business Information Systems. 41(4). 423–423. 1 indexed citations
8.
Tutun, Salih, et al.. (2022). A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis. Information Systems Frontiers. 25(6). 2301–2316. 15 indexed citations
9.
Tutun, Salih, et al.. (2022). Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system. RePEc: Research Papers in Economics. 6(1). 59–76. 11 indexed citations
10.
Johnson, Marina, Abdullah Albizri, Antoine Harfouche, & Samuel Fosso Wamba. (2022). Integrating human knowledge into artificial intelligence for complex and ill-structured problems: Informed artificial intelligence. International Journal of Information Management. 64. 102479–102479. 62 indexed citations
11.
Johnson, Marina, Abdullah Albizri, Antoine Harfouche, & Salih Tutun. (2021). Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence. Industrial Management & Data Systems. 123(1). 324–344. 21 indexed citations
12.
Johnson, Marina, et al.. (2021). Supply chain design under disruptions considering risk mitigation strategies for robustness and resiliency. International Journal of Logistics Systems and Management. 38(1). 1–1. 10 indexed citations
13.
Johnson, Marina, Rashmi Jain, Ethné Swartz, et al.. (2021). Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy. Global Journal of Flexible Systems Management. 22(3). 197–217. 81 indexed citations
14.
Johnson, Marina, Abdullah Albizri, & Antoine Harfouche. (2021). Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing. Information Systems Frontiers. 25(6). 2179–2195. 45 indexed citations
15.
Johnson, Marina, et al.. (2021). Teaching Bayesian and Markov methods in business analytics curricula: An integrated approach. Decision Sciences Journal of Innovative Education. 20(1). 17–28. 2 indexed citations
16.
Johnson, Marina, Abdullah Albizri, & Serhat Simsek. (2020). Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis. Annals of Operations Research. 308(1-2). 275–305. 52 indexed citations
17.
Johnson, Marina, et al.. (2020). Supply Chain Design Under Disruptions Considering Risk Mitigation Strategies for Robustness and Resiliency. International Journal of Logistics Systems and Management. 1(1). 1–1. 1 indexed citations
18.
Simsek, Serhat, et al.. (2020). Predictive data analytics for contract renewals: a decision support tool for managerial decision-making. Journal of Enterprise Information Management. 34(2). 718–732. 23 indexed citations
19.
Johnson, Marina & Mark L. Berenson. (2019). Choosing Among Computational Software Tools to Enhance Learning in Introductory Business Statistics. Decision Sciences Journal of Innovative Education. 17(3). 214–238. 4 indexed citations
20.
Johnson, Marina & Nagen Nagarur. (2015). Multi-stage methodology to detect health insurance claim fraud. Health Care Management Science. 19(3). 249–260. 36 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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2026