Simon Mayer
Impact in
- Human-Computer Interaction top 5%
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
Papers in
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- Context-Aware Activity Recognition Systems 25
- Augmented Reality Applications 12
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- Service-Oriented Architecture and Web Services 21
- Blockchain Technology Applications and Security 8
- Co-authors
- Dominique Guinard (9 shared papers)Matthias Kovatsch (5 shared papers)Sebastian Gryglewicz (9 shared papers)Erwan Morellec (6 shared papers)Benedikt Ostermaier (1 shared paper)Florian Michahelles (10 shared papers)Friedemann Mattern (3 shared papers)Gábor Sörös (5 shared papers)
- Journals
- Journal of Financial Economics (4 papers)IEEE Pervasive Computing (3 papers)Artificial Intelligence and Law (3 papers)AI & Society (2 papers)Nutrients (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Simon Mayer
144 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Human-Computer Interaction 143
- Computer Networks and Communications 528
- Information Systems 444
- Computer Vision and Pattern Recognition 386
- Management Information Systems 151
Countries citing papers authored by Simon Mayer
This map shows the geographic impact of Simon Mayer'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 Simon Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Mayer more than expected).
Fields of papers citing papers by Simon Mayer
This network shows the impact of papers produced by Simon Mayer. 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 Simon Mayer. The network helps show where Simon Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Mayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 123 | |
| 2 | 2021 | 73 | |
| 3 | 2012 | 70 | |
| 4 | 2017 | 70 | |
| 5 | 2011 | 69 | |
| 6 | 2016 | 64 | |
| 7 | 2012 | 52 | |
| 8 | 2021 | 45 | |
| 9 | 2019 | 42 | |
| 10 | 2019 | 41 | |
| 11 | 2014 | 37 | |
| 12 | 2014 | 35 | |
| 13 | 2015 | 33 | |
| 14 | 2019 | 28 | |
| 15 | 2014 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2015 | 26 | |
| 19 | 2018 | 23 | |
| 20 | 2022 | 23 |
About Simon Mayer
Simon Mayer is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Human-Computer Interaction, having authored 160 papers that have together received 1.6k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (25 papers), Service-Oriented Architecture and Web Services (21 papers), IoT and Edge/Fog Computing (20 papers), Augmented Reality Applications (12 papers), Banking stability, regulation, efficiency (10 papers), Corporate Finance and Governance (10 papers), Ethics and Social Impacts of AI (9 papers) and Blockchain Technology Applications and Security (8 papers). The work is most often cited by research in Human-Computer Interaction (143 citations), Computer Networks and Communications (528 citations), Information Systems (444 citations), Computer Vision and Pattern Recognition (386 citations) and Management Information Systems (151 citations). Simon Mayer has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Dominique Guinard, Matthias Kovatsch, Sebastian Gryglewicz, Erwan Morellec, Benedikt Ostermaier, Florian Michahelles, Friedemann Mattern, Gábor Sörös, Vlad Trifa and Ruben Verborgh. Their work appears in journals such as Journal of Financial Economics, IEEE Pervasive Computing, Artificial Intelligence and Law, AI & Society and Nutrients.
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.