Marcia Nißen
- Applied Psychology top 5%
- Digital Mental Health Interventions 10
- Behavioral Health and Interventions 2
- Human-Computer Interaction top 10%
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- Technology Adoption and User Behaviour 1
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- AI in Service Interactions 7
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- Mobile Health and mHealth Applications 6
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- Telemedicine and Telehealth Implementation 3
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- Technology Use by Older Adults 2
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- Big Data and Business Intelligence 1
- Co-authors
- Tobias KowatschDominik RüeggerMirjam StiegerMathias AllemandFlorian von WangenheimHenner GimpelChristoph FlückigerDavinia Rodríguez Cardona
- Journals
- BMJ Open (3 papers)Computers in Human Behavior (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- SwitzerlandUnited StatesIndia
In The Last Decade
Marcia Nißen
16 papers receiving 307 citations
Peers
Comparison fields: 5 of 60
- Applied Psychology 137
- Human-Computer Interaction 42
- Health Informatics 10
- Information Systems and Management 33
- Experimental and Cognitive Psychology 51
Countries citing papers authored by Marcia Nißen
This map shows the geographic impact of Marcia Nißen'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 Marcia Nißen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia Nißen more than expected).
Fields of papers citing papers by Marcia Nißen
This network shows the impact of papers produced by Marcia Nißen. 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 Marcia Nißen. The network helps show where Marcia Nißen may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Marcia Nißen, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 0 | |
| 11 | 2022 | 36 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 55 | |
| 14 | 2020 | 19 | |
| 15 | 2018 | 16 | |
| 16 | 2018 | 54 | |
| 17 | 2017 | 55 | |
| 18 | Towards the Design of a Smartphone-Based Biofeedback Breathing Training: Indentifying Diaphragmatic Breathing Patterns From a Smartphones' Microphone | 2016 | 2 |
| 19 | Quantifying the Quantified Self : A Study on the Motivations of Patients to Track Their Own Health | 2013 | 48 |
About Marcia Nißen
Marcia Nißen is a scholar working on Applied Psychology, Human-Computer Interaction and General Health Professions, having authored 19 papers that have together received 323 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (10 papers), AI in Service Interactions (7 papers), Mobile Health and mHealth Applications (6 papers), Telemedicine and Telehealth Implementation (3 papers), Behavioral Health and Interventions (2 papers), Technology Use by Older Adults (2 papers), Big Data and Business Intelligence (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Applied Psychology (137 citations), Human-Computer Interaction (42 citations) and Health Informatics (10 citations). Marcia Nißen has collaborated with scholars based in Switzerland, United States and India. Frequent co-authors include Tobias Kowatsch, Dominik Rüegger, Mirjam Stieger, Mathias Allemand, Florian von Wangenheim, Henner Gimpel, Christoph Flückiger, Davinia Rodríguez Cardona, Michael H. Breitner and Dagmar l’Allemand. Their work appears in journals such as BMJ Open, Computers in Human Behavior, Journal of Medical Internet Research, Journal of the Association for Information Systems and BMC Psychology.
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.