Mark Feldmeier
Impact in
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
- Building and Construction top 5%
- Building Energy and Comfort Optimization
Papers in
-
- Energy Efficient Wireless Sensor Networks 4
- Bluetooth and Wireless Communication Technologies 4
-
- Context-Aware Activity Recognition Systems 3
- Music Technology and Sound Studies 3
- Co-authors
- Joseph A. Paradiso (11 shared papers)Prabal Dutta (1 shared paper)David Culler (1 shared paper)Yasuhiro Ono (3 shared papers)Joshua Lifton (3 shared papers)Mathew Laibowitz (1 shared paper)Mateusz Malinowski (1 shared paper)R. B. Jacobs (1 shared paper)
- Journals
- Computer Music Journal (1 paper)New Interfaces for Musical Expression (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Mark Feldmeier
11 papers receiving 421 citations
Peers
Comparison fields: 5 of 68
- Human-Computer Interaction 49
- Building and Construction 101
- Computer Networks and Communications 166
- Computer Vision and Pattern Recognition 111
- Electrical and Electronic Engineering 227
Countries citing papers authored by Mark Feldmeier
This map shows the geographic impact of Mark Feldmeier'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 Mark Feldmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Feldmeier more than expected).
Fields of papers citing papers by Mark Feldmeier
This network shows the impact of papers produced by Mark Feldmeier. 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 Mark Feldmeier. The network helps show where Mark Feldmeier may publish in the future.
Co-authors
The 8 scholars most cited alongside Mark Feldmeier, 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 | 2008 | 103 | |
| 2 | 2010 | 98 | |
| 3 | 2007 | 83 | |
| 4 | 2007 | 67 | |
| 5 | 2007 | 36 | |
| 6 | Large Group Musical Interaction using Disposable Wireless motion sensors | 2002 | 18 |
| 7 | 2007 | 18 | |
| 8 | 2004 | 12 | |
| 9 | 2011 | 9 | |
| 10 | 2008 | 7 | |
| 11 | 2007 | 1 |
About Mark Feldmeier
Mark Feldmeier is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Mechanical Engineering, having authored 11 papers that have together received 452 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (4 papers), Bluetooth and Wireless Communication Technologies (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Context-Aware Activity Recognition Systems (3 papers), Music Technology and Sound Studies (3 papers), Smart Grid Energy Management (2 papers), Music and Audio Processing (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Human-Computer Interaction (49 citations), Building and Construction (101 citations), Computer Networks and Communications (166 citations), Computer Vision and Pattern Recognition (111 citations) and Electrical and Electronic Engineering (227 citations). Mark Feldmeier has collaborated with scholars based in United States and Japan. Frequent co-authors include Joseph A. Paradiso, Prabal Dutta, David Culler, Yasuhiro Ono, Joshua Lifton, Mathew Laibowitz, Mateusz Malinowski and R. B. Jacobs. Their work appears in journals such as Computer Music Journal, New Interfaces for Musical Expression and DSpace@MIT (Massachusetts Institute of Technology).
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.