Wolfgang Garn

685 total citations
23 papers, 428 citations indexed

About

Wolfgang Garn is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Wolfgang Garn has authored 23 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Industrial and Manufacturing Engineering and 4 papers in Management Information Systems. Recurrent topics in Wolfgang Garn's work include Explainable Artificial Intelligence (XAI) (3 papers), Digital Transformation in Industry (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Wolfgang Garn is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Digital Transformation in Industry (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Wolfgang Garn collaborates with scholars based in United Kingdom, Netherlands and Singapore. Wolfgang Garn's co-authors include Paul Krause, Christopher Turner, James Aitken, Cecil Bozarth, John Oyekan, Khaled Abdou, Andreas Gregoriades, Panos Louvieris, Lampros Stergioulas and Masoud Fakhimi and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Sustainability.

In The Last Decade

Wolfgang Garn

22 papers receiving 404 citations

Peers

Wolfgang Garn

IME

MIS

Arpit Singh India

Chetan Sharma India

Jinhai Li China

Supaporn Kiattisin Thailand

Yi‐Chun Chen Taiwan

Yongping Xie China

Hui Shi China

Liuliu Fu United States

Ping‐Kuo Chen China

Seungjae Shin South Korea

Arpit Singh India

Wolfgang Garn

76 ×0.6

140 ×1.5

73 ×0.8

IME

105 ×1.3

MIS

32 ×0.6

Citations per year, relative to Wolfgang Garn Wolfgang Garn (= 1×) peers Arpit Singh

Countries citing papers authored by Wolfgang Garn

Since Specialization

Citations

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

Fields of papers citing papers by Wolfgang Garn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Garn

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

All Works

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20 of 20 papers shown

Garn, Wolfgang, et al.. (2025). Metaverse for Manufacturing: Leveraging Extended Reality Technology for Human-Centric Production Systems. Sustainability. 17(1). 280–280. 1 indexed citations

Garn, Wolfgang & Mehrdad Amirghasemi. (2025). Transparency of combinatorial optimisations via machine learning and explainable AI. Annals of Operations Research. 354(1). 427–458. 1 indexed citations

Garn, Wolfgang, James Aitken, & Roger W. Schmenner. (2024). Smoothly pass the parcel: implementing the theory of swift, even flow. RAIRO. Operations research. 2 indexed citations

Garn, Wolfgang. (2024). Data Analytics for Business. 2 indexed citations

Garn, Wolfgang, et al.. (2024). Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design. Applied Artificial Intelligence. 38(1). 1 indexed citations

Garn, Wolfgang, et al.. (2023). Opportunities in Real Time Fraud Detection: An Explainable Artificial Intelligence (XAI) Research Agenda. International Journal of Advanced Computer Science and Applications. 14(5). 14 indexed citations

Nikolaou, Vasilis, Sebastiano Massaro, Masoud Fakhimi, & Wolfgang Garn. (2022). Using Machine Learning to Detect Theranostic Biomarkers Predicting Respiratory Treatment Response. Life. 12(6). 775–775. 2 indexed citations

Garn, Wolfgang, et al.. (2022). Managing Sustainability Tensions in Artificial Intelligence. 491–498. 8 indexed citations

Turner, Christopher, et al.. (2022). Industry 5.0 and the Circular Economy: Utilizing LCA with Intelligent Products. Sustainability. 14(22). 14847–14847. 58 indexed citations

10.

Turner, Christopher & Wolfgang Garn. (2022). Next generation DES simulation: A research agenda for human centric manufacturing systems. Journal of Industrial Information Integration. 28. 100354–100354. 42 indexed citations

11.

Nikolaou, Vasilis, Sebastiano Massaro, Masoud Fakhimi, Lampros Stergioulas, & Wolfgang Garn. (2021). COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network. Health Information Science and Systems. 9(1). 36–36. 22 indexed citations

12.

Nikolaou, Vasilis, Sebastiano Massaro, Wolfgang Garn, et al.. (2021). The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities. Respiratory Medicine. 186. 106528–106528. 12 indexed citations

13.

Stergioulas, Lampros, et al.. (2021). Assessing Patient Engagement in Health Care: Proposal for a Modeling and Simulation Framework for Behavioral Analysis. JMIR Research Protocols. 10(12). e30092–e30092. 1 indexed citations

14.

Nikolaou, Vasilis, Sebastiano Massaro, Wolfgang Garn, et al.. (2021). Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss. BMJ Open Respiratory Research. 8(1). e000980–e000980. 8 indexed citations

15.

Garn, Wolfgang. (2021). Balanced dynamic multiple travelling salesmen: Algorithms and continuous approximations. Computers & Operations Research. 136. 105509–105509. 13 indexed citations

16.

Krause, Paul, et al.. (2018). How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark. Engineering Applications of Artificial Intelligence. 76. 130–157. 128 indexed citations

17.

Garn, Wolfgang, et al.. (2018). LSTM network time series predicts high-risk tenants. Surrey Research Insight Open Access (The University of Surrey). 1 indexed citations

18.

Aitken, James, Cecil Bozarth, & Wolfgang Garn. (2016). To eliminate or absorb supply chain complexity: a conceptual model and case study. Supply Chain Management An International Journal. 21(6). 759–774. 66 indexed citations

19.

Garn, Wolfgang & James Aitken. (2015). Agile factorial production for a single manufacturing line with multiple products. European Journal of Operational Research. 245(3). 754–766. 6 indexed citations

20.

Heijden, Hans van der & Wolfgang Garn. (2012). Profitability in the car industry: New measures for estimating targets and target directions. European Journal of Operational Research. 225(3). 420–428. 4 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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