Matthew J. Bietz
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- Scientific Computing and Data Management 11
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction 6
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- Open Source Software Innovations 5
- Health Informatics top 10%
- Applied Psychology top 10%
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- Research Data Management Practices 8
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- Knowledge Management and Sharing 5
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- Technology Use by Older Adults 5
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- Team Dynamics and Performance 4
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- Information Systems Theories and Implementation 4
- Co-authors
- Jeremy BirnholtzCharlotte P. LeeCinnamon S. BlossKevin PatrickEric P. S. BaumerClara CaldeiraCynthia CheungScout Calvert
- Journals
- JMIR mhealth and uhealth (1 paper)IEEE Pervasive Computing (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew J. Bietz
31 papers receiving 730 citations
Peers
Comparison fields: 5 of 102
- Information Systems and Management 210
- Human-Computer Interaction 122
- Computer Science Applications 90
- Health Informatics 18
- Applied Psychology 68
Countries citing papers authored by Matthew J. Bietz
This map shows the geographic impact of Matthew J. Bietz'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 Matthew J. Bietz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Bietz more than expected).
Fields of papers citing papers by Matthew J. Bietz
This network shows the impact of papers produced by Matthew J. Bietz. 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 Matthew J. Bietz. The network helps show where Matthew J. Bietz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Bietz, 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 | 2022 | 4 | |
| 2 | 2018 | 37 | |
| 3 | 2018 | 9 | |
| 4 | 2017 | 3 | |
| 5 | 2016 | 30 | |
| 6 | 2016 | 27 | |
| 7 | 2016 | 10 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 108 | |
| 10 | 2012 | 15 | |
| 11 | 2012 | 5 | |
| 12 | 2012 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2012 | 28 | |
| 15 | 2010 | 67 | |
| 16 | 2010 | 9 | |
| 17 | 2008 | 14 | |
| 18 | 2003 | 3 | |
| 19 | 2003 | 144 | |
| 20 | 2002 | 29 |
About Matthew J. Bietz
Matthew J. Bietz is a scholar working on Information Systems and Management, Computer Science Applications, Human-Computer Interaction, Health Informatics and Communication, having authored 32 papers that have together received 771 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (11 papers), Research Data Management Practices (8 papers), Innovative Human-Technology Interaction (6 papers), Open Source Software Innovations (5 papers), Knowledge Management and Sharing (5 papers), Technology Use by Older Adults (5 papers), Team Dynamics and Performance (4 papers) and Information Systems Theories and Implementation (4 papers). The work is most often cited by research in Information Systems and Management (210 citations), Human-Computer Interaction (122 citations), Computer Science Applications (90 citations), Health Informatics (18 citations) and Applied Psychology (68 citations). Matthew J. Bietz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeremy Birnholtz, Charlotte P. Lee, Cinnamon S. Bloss, Kevin Patrick, Eric P. S. Baumer, Clara Caldeira, Cynthia Cheung, Scout Calvert, Jerry Sheehan and Judith Gregory. Their work appears in journals such as JMIR mhealth and uhealth, IEEE Pervasive Computing, Journal of Medical Internet Research, Translational Behavioral Medicine and Computer Supported Cooperative Work (CSCW).
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.