Mark Feldmeier

700 citations
11 papers · 452 indexed · h-index 9
Topics
Bluetooth and Wireless Communication Technologies (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)Indoor and Outdoor Localization Technologies (3 papers)
Journals
Computer Music JournalDSpace@MIT (Massachusetts Institute of Technology)New Interfaces for Musical Expression
Partner nations
United StatesJapan

In The Last Decade

Mark Feldmeier

11 papers receiving 421 citations

Peers

Mark Feldmeier
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 227
  • Computer Networks and Communications 166
  • Computer Vision and Pattern Recognition 111
  • Building and Construction 101
  • Human-Computer Interaction 49
Replace Geoffrey Challen with:
Geoffrey Challen United States
Timothy Hnat United States
Piero Zappi Italy
Ģirts Strazdiņš Latvia
Younghun Kim South Korea
Toni Perković Croatia
Artis Mednis Latvia
Atanu Roy Chowdhury India
Chirabrata Bhaumik India
Joshua Lifton United States
Mark Feldmeier relative to Geoffrey Challen United States Geoffrey Challen's profile →
Citations per field
00.5×1.5×2.5×
Geoffrey Challen · 1×
Citations per year

Countries citing papers authored by Mark Feldmeier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Feldmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Feldmeier. A scholar is included among the top collaborators of Mark Feldmeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Feldmeier. Mark Feldmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 9
2 98
3 7
4 103
5 1
6 67
7 18
8 36
9 83
10 12
11
Large Group Musical Interaction using Disposable Wireless motion sensors
18

About Mark Feldmeier

Mark Feldmeier is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 11 papers that have together received 452 indexed citations. Recurring topics across this work include Bluetooth and Wireless Communication Technologies (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (49 citations), Building and Construction (101 citations) and Computer Networks and Communications (166 citations). Mark Feldmeier has collaborated with scholars based in United States and Japan. Frequent co-authors include Joseph A. Paradiso, David Culler, Prabal Dutta, Joshua Lifton, Yasuhiro Ono, Mathew Laibowitz, Mateusz Malinowski and R. B. Jacobs. Their work appears in journals such as Computer Music Journal, DSpace@MIT (Massachusetts Institute of Technology) and New Interfaces for Musical Expression.

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.

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