Mark Feldmeier
Impact in
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- Energy Efficient Wireless Sensor Networks
- Building and Construction top 5%
- Building Energy and Comfort Optimization
Papers in
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- Music Technology and Sound Studies 3
- Context-Aware Activity Recognition Systems 3
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- Sensor Technology and Measurement Systems 1
- Energy Efficient Wireless Sensor Networks 1
- Co-authors
- Joseph A. Paradiso (10 shared papers)Prabal K. Dutta (1 shared paper)David Culler (1 shared paper)Mathew Laibowitz (1 shared paper)Joshua Harlan Lifton (2 shared papers)
- Journals
- Computer Music Journal (1 paper)Lecture notes in computer science (1 paper)International Conference on Information Processing in Sensor Networks (IPSN) (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Mark Feldmeier
10 papers receiving 431 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 153
- Building and Construction 87
- Human-Computer Interaction 41
- Hardware and Architecture 34
- Computer Vision and Pattern Recognition 56
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 5 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 | 114 | |
| 2 | 2010 | 107 | |
| 3 | 2007 | 72 | |
| 4 | 2001 | 62 | |
| 5 | 2007 | 39 | |
| 6 | 2007 | 20 | |
| 7 | 2004 | 14 | |
| 8 | 2011 | 13 | |
| 9 | 2008 | 9 | |
| 10 | 2007 | 2 |
About Mark Feldmeier
Mark Feldmeier is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, Hardware and Architecture and Signal Processing, having authored 10 papers that have together received 452 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (3 papers), Context-Aware Activity Recognition Systems (3 papers), Speech and Audio Processing (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper), Green IT and Sustainability (1 paper), Sensor Technology and Measurement Systems (1 paper), Innovative Energy Harvesting Technologies (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (153 citations), Building and Construction (87 citations), Human-Computer Interaction (41 citations), Hardware and Architecture (34 citations) and Computer Vision and Pattern Recognition (56 citations). Mark Feldmeier has collaborated with scholars based in United States and Japan. Frequent co-authors include Joseph A. Paradiso, Prabal K. Dutta, David Culler, Mathew Laibowitz and Joshua Harlan Lifton. Their work appears in journals such as Computer Music Journal, Lecture notes in computer science, International Conference on Information Processing in Sensor Networks (IPSN), DSpace@MIT (Massachusetts Institute of Technology) and CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA).
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.