David Johnson

648 citations
22 papers · 396 · h-index 8

Impact in

Papers in

David Johnson

19 papers receiving 351 citations

Peers

David Johnson
Comparison fields: 5 of 59
  • Computer Networks and Communications 252
  • Hardware and Architecture 72
  • Human-Computer Interaction 31
  • Electrical and Electronic Engineering 233
  • Music 9
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James Gettys Germany
Shing‐Tsaan Huang Taiwan
Hojun Shim South Korea
Anand Bhojan Singapore
Tina Wong United States
Jungsoo Kim South Korea
Chuck Thacker United Kingdom
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Pratyush Patel United States
Da Li United States
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Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by David Johnson

Since Specialization
Citations

This map shows the geographic impact of David Johnson'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 Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Johnson more than expected).

Fields of papers citing papers by David Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Johnson. 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 Johnson. The network helps show where David Johnson may publish in the future.

Co-authors

The 20 scholars most cited alongside David Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Johnson Line = papers co-authored together David Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004206
2 199676
3 201931
4 198710
5 201910
6
Registration Keys for Route Optimization
20008
7 20178
8 20137
9
Torrent Architecture Manual
19977
10
Detecting Pianist Hand Posture Mistakes for Virtual Piano Tutoring.
20166
11 20025
12 19774
13 19764
14 20054
15 20143
16
Virtual buddies - using computer-mediated communication in therapeutic recreation.
20032
17 20161
18 20151
19
Virtual reality systems
19921
20
Spert-II: A Vector Microprocessor
19961

About David Johnson

David Johnson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 22 papers that have together received 396 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (4 papers), Music and Audio Processing (4 papers), Speech Recognition and Synthesis (3 papers), Neural Networks and Applications (2 papers), Human Motion and Animation (2 papers), IPv6, Mobility, Handover, Networks, Security (2 papers), Augmented Reality Applications (2 papers) and Mobile Agent-Based Network Management (2 papers). The work is most often cited by research in Computer Networks and Communications (252 citations), Hardware and Architecture (72 citations), Human-Computer Interaction (31 citations), Electrical and Electronic Engineering (233 citations) and Music (9 citations). David Johnson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include George Tzanetakis, Krste Asanović, Daniela Damian, John Wawrzynek, Brian Kingsbury, N. Morgan, James D. Beck, F. Walz, J. B. MacChesney and Charles E. Perkins. Their work appears in journals such as Virtual Reality, Computer, Electronics Letters, Journal of Educational Psychology and Computer Music Journal.

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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