David C. Mack
Impact in
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- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Demography top 5%
- Technology Use by Older Adults
Papers in
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- Technology Use by Older Adults 4
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- Geriatric Care and Nursing Homes 4
- Co-authors
- Robin Allen Felder (10 shared papers)M. Alwan (8 shared papers)S. Kell (5 shared papers)Prabhu Jude Rajendran (1 shared paper)Paul M. Suratt (3 shared papers)Beverely L Turner (7 shared papers)James T. Patrie (2 shared papers)Jon C. Leachtenauer (3 shared papers)
- Journals
- Telemedicine Journal and e-Health (2 papers)Radiation Research (1 paper)Applied Clinical Informatics (1 paper)Lecture notes in computer science (1 paper)Aging Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
David C. Mack
14 papers receiving 773 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 436
- Demography 90
- Biomedical Engineering 208
- Physical Therapy, Sports Therapy and Rehabilitation 28
- Health Information Management 29
Countries citing papers authored by David C. Mack
This map shows the geographic impact of David C. Mack'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 David C. Mack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Mack more than expected).
Fields of papers citing papers by David C. Mack
This network shows the impact of papers produced by David C. Mack. 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 David C. Mack. The network helps show where David C. Mack may publish in the future.
Co-authors
The 19 scholars most cited alongside David C. Mack, 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 | 2006 | 341 | |
| 2 | 2008 | 169 | |
| 3 | 2006 | 108 | |
| 4 | 2006 | 54 | |
| 5 | 2005 | 24 | |
| 6 | 2017 | 22 | |
| 7 | 2007 | 20 | |
| 8 | 2006 | 19 | |
| 9 | 2006 | 14 | |
| 10 | 2009 | 11 | |
| 11 | 2006 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2007 | 5 | |
| 14 | 2001 | 3 |
About David C. Mack
David C. Mack is a scholar working on Demography, General Health Professions, Computer Vision and Pattern Recognition, Health Informatics and Biomedical Engineering, having authored 14 papers that have together received 806 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Technology Use by Older Adults (4 papers), Geriatric Care and Nursing Homes (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Sleep and related disorders (1 paper), Electronic Health Records Systems (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (436 citations), Demography (90 citations), Biomedical Engineering (208 citations), Physical Therapy, Sports Therapy and Rehabilitation (28 citations) and Health Information Management (29 citations). David C. Mack has collaborated with scholars based in United States. Frequent co-authors include Robin Allen Felder, M. Alwan, S. Kell, Prabhu Jude Rajendran, Paul M. Suratt, Beverely L Turner, James T. Patrie, Jon C. Leachtenauer, Majd Alwan and Cynthia Drake. Their work appears in journals such as Telemedicine Journal and e-Health, Radiation Research, Applied Clinical Informatics, Lecture notes in computer science and Aging Medicine.
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.