Andrew C. Singer

205 papers receiving 4.1k citations

Hit Papers

Turbo equalization: principles and new results200220262010201820022002250500750

Peers

Andrew C. Singer
Comparison fields: 5 of 121
  • Electrical and Electronic Engineering 3.1k
  • Computer Networks and Communications 2.2k
  • Signal Processing 776
  • Ocean Engineering 562
  • Artificial Intelligence 562
Replace Robert J. Piechocki with:
Robert J. Piechocki United Kingdom
Tareq Y. Al-Naffouri Saudi Arabia
P.C. Ching Hong Kong
Maurice Bellanger France
Søren Holdt Jensen Denmark
Dario Petri Italy
Nir Shlezinger Israel
Yngve Selén Sweden
Behnaam Aazhang United States
Yongwei Huang China
Andrew C. Singer relative to Robert J. Piechocki United Kingdom Robert J. Piechocki's profile →
Citations per field
00.5×6.3×
Robert J. Piechocki · 1×
Citations per year

Countries citing papers authored by Andrew C. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew C. Singer

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Singer. A scholar is included among the top collaborators of Andrew C. Singer 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 Andrew C. Singer. Andrew C. Singer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 2
6 13
7 163
8 4
9 2
10 11
11 11
12
Spatial Sigma-Delta Signal Acquisition for Wideband Beamforming Arrays
15
13 2
14
I want my voice to be heard: IP over Voice-over-IP for unobservable censorship circumvention.
54
15 1
16 4
17
Turbo equalization
224
18 1
19 1
20
Universal linear prediction over parameters and model orders
4

About Andrew C. Singer

Andrew C. Singer is a scholar working on Signal Processing, Computer Networks and Communications and Oceanography, having authored 226 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (63 papers), Error Correcting Code Techniques (48 papers) and Blind Source Separation Techniques (33 papers). The work is most often cited by research in Computer Networks and Communications (2.2k citations), Signal Processing (776 citations) and Electrical and Electronic Engineering (3.1k citations). Andrew C. Singer has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include M. Tüchler, R. Koetter, Süleyman S. Kozat, Ryan M. Corey, Naresh R. Shanbhag, Jun Won Choi, Thomas Riedl, Meir Feder, James C. Preisig and Gregory W. Wornell. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

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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