David Singer

471 citations
9 papers · 59 · h-index 4

Impact in

Papers in

David Singer

7 papers receiving 54 citations

Peers

David Singer
Comparison fields: 5 of 14
  • Signal Processing 36
  • Computer Vision and Pattern Recognition 41
  • Computer Networks and Communications 18
  • Hardware and Architecture 3
  • Sociology and Political Science 13
Replace A. Rodríguez with:
A. Rodríguez Spain
Xavier Corbillon France
Jean Le Feuvre France
Yasuo Ohara Japan
Éric Horlait France
Ankesh Anand United States
M. Speer United States
Asad Ali Finland
Thomas Wiebke
Haihong Zheng United States
David Singer relative to A. Rodríguez Spain A. Rodríguez's profile →
Citations per field
00.5×1.5×
A. Rodríguez · 1×
Citations per year

Countries citing papers authored by David Singer

Since Specialization
Citations

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

Fields of papers citing papers by David Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside David Singer, 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 Singer Line = papers co-authored together David Singer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200742
2 19967
3 20043
4 20023
5 20022
6
H.264 as Mandatory to Implement Video Codec for WebRTC
20141
7 20091
8
Associating SMPTE time-codes with RTP streams
20050
9 20020

About David Singer

David Singer is a scholar working on Computer Networks and Communications, Sociology and Political Science, Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 9 papers that have together received 59 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (5 papers), Network Traffic and Congestion Control (4 papers), Video Coding and Compression Technologies (3 papers), Advanced Data Compression Techniques (2 papers), Digital Rights Management and Security (1 paper), Real-Time Systems Scheduling (1 paper), Peer-to-Peer Network Technologies (1 paper) and Network Time Synchronization Technologies (1 paper). The work is most often cited by research in Signal Processing (36 citations), Computer Vision and Pattern Recognition (41 citations), Computer Networks and Communications (18 citations), Hardware and Architecture (3 citations) and Sociology and Political Science (13 citations). David Singer has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Peter Amon, Markus Isomäki, Giridhar Mandyam, Bernard Aboba, Cullen Jennings and Jonathan Rosenberg. Their work appears in journals such as Multimedia Systems, IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and RFC.

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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