Mads Møller Jensen
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction 6
- Interactive and Immersive Displays 3
- Usability and User Interface Design 3
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- Context-Aware Activity Recognition Systems 4
- Artificial Intelligence top 5%
- Computer Science Applications top 10%
- Signal Processing top 10%
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- Educational Games and Gamification 4
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- Digital Games and Media 3
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- Attention Deficit Hyperactivity Disorder 2
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- Sports Performance and Training 2
- Co-authors
- Tobias SonneThor Siiger PrentowAllan StisenAnind K. DeySourav BhattacharyaHenrik BlunckMikkel Baun KjærgaardFlorian Mueller
- Partner nations
- DenmarkAustraliaUnited States
In The Last Decade
Mads Møller Jensen
18 papers receiving 822 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Human-Computer Interaction 161
- Computer Vision and Pattern Recognition 387
- Artificial Intelligence 245
- Computer Science Applications 38
- Signal Processing 74
Countries citing papers authored by Mads Møller Jensen
This map shows the geographic impact of Mads Møller Jensen'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 Mads Møller Jensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mads Møller Jensen more than expected).
Fields of papers citing papers by Mads Møller Jensen
This network shows the impact of papers produced by Mads Møller Jensen. 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 Mads Møller Jensen. The network helps show where Mads Møller Jensen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mads Møller Jensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 19 | |
| 2 | 2018 | 25 | |
| 3 | 2018 | 12 | |
| 4 | 2018 | 22 | |
| 5 | 2017 | 23 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 26 | |
| 8 | 2016 | 93 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 4 | |
| 11 | Smart devices are different:Assessing and mitigating mobile sensing heterogeneities for activity recognition | 2015 | 17 |
| 12 | 2015 | 8 | |
| 13 | 2015 | 18 | |
| 14 | Smart Devices are Differentbreakdown → | 2015 | 479 |
| 15 | Interactive Football-Training Based on Rebounders with Hit Position Sensing and Audio-Visual Feedback. | 2014 | 8 |
| 16 | 2014 | 42 | |
| 17 | 2014 | 18 | |
| 18 | 2001 | 5 |
About Mads Møller Jensen
Mads Møller Jensen is a scholar working on Human-Computer Interaction, Developmental and Educational Psychology and Orthopedics and Sports Medicine, having authored 18 papers that have together received 843 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (6 papers), Educational Games and Gamification (4 papers), Context-Aware Activity Recognition Systems (4 papers), Digital Games and Media (3 papers), Interactive and Immersive Displays (3 papers), Usability and User Interface Design (3 papers), Attention Deficit Hyperactivity Disorder (2 papers) and Sports Performance and Training (2 papers). The work is most often cited by research in Human-Computer Interaction (161 citations), Computer Vision and Pattern Recognition (387 citations) and Artificial Intelligence (245 citations). Mads Møller Jensen has collaborated with scholars based in Denmark, Australia and United States. Frequent co-authors include Tobias Sonne, Thor Siiger Prentow, Allan Stisen, Anind K. Dey, Sourav Bhattacharya, Henrik Blunck, Mikkel Baun Kjærgaard, Florian Mueller, Kaj Grønbæk and Majken Kirkegaard Rasmussen. Their work appears in journals such as PeerJ, Computer Supported Cooperative Work (CSCW) and interactions.
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.