Elgar Fleisch

12.6k total citations · 3 hit papers
298 papers, 7.5k citations indexed

About

Elgar Fleisch is a scholar working on Strategy and Management, Management Information Systems and Information Systems. According to data from OpenAlex, Elgar Fleisch has authored 298 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Strategy and Management, 45 papers in Management Information Systems and 39 papers in Information Systems. Recurrent topics in Elgar Fleisch's work include RFID technology advancements (37 papers), Digital Innovation in Industries (24 papers) and Digital Mental Health Interventions (23 papers). Elgar Fleisch is often cited by papers focused on RFID technology advancements (37 papers), Digital Innovation in Industries (24 papers) and Digital Mental Health Interventions (23 papers). Elgar Fleisch collaborates with scholars based in Switzerland, Germany and United States. Elgar Fleisch's co-authors include Heiko Gebauer, Thorsten Staake, Frédéric Thiesse, Thomas Friedli, Tobias Kowatsch, Felix Wortmann, Christian Tellkamp, Verena Tiefenbeck, Alexander Ilic and Hubert Österle and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Elgar Fleisch

272 papers receiving 6.9k citations

Hit Papers

Overcoming the Service Pa... 2005 2026 2012 2019 2005 2020 2022 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Elgar Fleisch 1.9k 1.3k 1.2k 985 915 298 7.5k
Jan vom Brocke 1.2k 0.6× 3.1k 2.4× 1.7k 1.5× 1.9k 1.9× 421 0.5× 269 9.1k
Philip Lewis 1.2k 0.6× 1.2k 0.9× 2.1k 1.8× 1.5k 1.5× 1.5k 1.7× 121 11.2k
Mehrbakhsh Nilashi 1.8k 1.0× 892 0.7× 1.4k 1.2× 2.3k 2.3× 799 0.9× 251 10.6k
Hillol Bala 1.0k 0.5× 1.3k 1.0× 967 0.8× 3.0k 3.0× 865 0.9× 54 8.7k
Marie‐Claude Boudreau 1.6k 0.8× 2.4k 1.8× 2.1k 1.8× 3.5k 3.6× 1.6k 1.8× 63 10.6k
Mohammad Iranmanesh 2.5k 1.3× 1.8k 1.3× 3.0k 2.5× 2.7k 2.7× 720 0.8× 197 10.7k
Jan Marco Leimeister 1.3k 0.7× 1.4k 1.0× 957 0.8× 2.1k 2.1× 347 0.4× 546 8.4k
Yenchun Jim Wu 1.0k 0.5× 1.0k 0.8× 1.7k 1.4× 1.3k 1.3× 801 0.9× 226 7.6k
Xu 2.2k 1.2× 985 0.7× 769 0.7× 4.1k 4.2× 977 1.1× 24 10.0k
Samir Chatterjee 528 0.3× 1.5k 1.1× 730 0.6× 1.3k 1.3× 334 0.4× 145 6.2k

Countries citing papers authored by Elgar Fleisch

Since Specialization
Citations

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

Fields of papers citing papers by Elgar Fleisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elgar Fleisch

This figure shows the co-authorship network connecting the top 25 collaborators of Elgar Fleisch. A scholar is included among the top collaborators of Elgar Fleisch 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 Elgar Fleisch. Elgar Fleisch 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
2.
Fleisch, Elgar, et al.. (2025). Digital health technologies and innovation patterns in diabetes ecosystems. Digital Health. 11. 599955452–599955452. 2 indexed citations
3.
Fleisch, Elgar, et al.. (2025). Barriers and facilitators of implementing value-based care: The case of SwissDiabeter. Digital Health. 11. 609980034–609980034. 1 indexed citations
4.
Fleisch, Elgar, et al.. (2025). The longevity landscape: mapping stakeholder priorities for healthy aging among high-income countries. BMC Public Health. 25(1). 4267–4267.
5.
Fleisch, Elgar, et al.. (2024). Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity. Applied Energy. 370. 123544–123544. 13 indexed citations
6.
Jakob, Robert, et al.. (2024). Factors associated with adherence to a public mobile nutritional health intervention: Retrospective cohort study. Computers in Human Behavior Reports. 15. 100445–100445. 1 indexed citations
7.
Barata, Filipe, et al.. (2024). The Bitemporal Lens Model—toward a holistic approach to chronic disease prevention with digital biomarkers. JAMIA Open. 7(2). ooae027–ooae027. 3 indexed citations
8.
Kraus, Mathias, Stefan Feuerriegel, Felix Wortmann, et al.. (2024). Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving. JMIR Human Factors. 11. e46967–e46967. 1 indexed citations
10.
Zueger, Thomas, Mathias Kraus, Stefan Feuerriegel, et al.. (2024). Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars. NEJM AI. 1(3). 2 indexed citations
11.
Castro, Óscar, Jacqueline L. Mair, Alicia Salamanca-Sanabria, et al.. (2023). Development of “LvL UP 1.0”: a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Frontiers in Digital Health. 5. 1039171–1039171. 18 indexed citations
12.
Zueger, Thomas, Mathias Kraus, Stefan Feuerriegel, et al.. (2023). Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes. Diabetes Obesity and Metabolism. 25(6). 1668–1676. 7 indexed citations
13.
Lison, Adrian, Karsten Klingberg, David Srivastava, et al.. (2022). A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development. JMIR Formative Research. 6(6). e35717–e35717. 4 indexed citations
14.
Fleisch, Elgar, et al.. (2020). HoloSelecta dataset: 10’035 GTIN-labelled product instances in vending machines for object detection of packaged products in retail environments. SHILAP Revista de lepidopterología. 32. 106280–106280. 2 indexed citations
15.
Wortmann, Felix, Dennis Herhausen, Dominik Bilgeri, Markus Weinberger, & Elgar Fleisch. (2020). Capturing Value in the Internet of Things. Alexandria (UniSG) (University of St.Gallen). 37(1). 48–55.
16.
Brocke, Jan vom, et al.. (2014). Designing Business Models in the Era of Internet of Things : Towards a Reference Framework. Alexandria (UniSG) (University of St.Gallen). 15 indexed citations
17.
Michahelles, Florian, et al.. (2011). The not so unique Global Trade Identification Number : Exploring inconsistencies in online product information sources. Alexandria (UniSG) (University of St.Gallen).
18.
Weiß, Markus, Thorsten Staake, Friedemann Mattern, & Elgar Fleisch. (2010). PowerPedia : A smartphone application for community-based electricity consumption feedback. Alexandria (UniSG) (University of St.Gallen). 2 indexed citations
19.
Thiesse, Frédéric, et al.. (2009). NFC based service innovation in retail: An explorative study. European Conference on Information Systems. 10(4). 2291–2302. 8 indexed citations
20.
Fleisch, Elgar, et al.. (2004). Requirements and Technologies for Ubiquitous Payment. Alexandria (UniSG) (University of St.Gallen). 3 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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