Andrew C. Singer

6.7k total citations · 2 hit papers
226 papers, 4.4k citations indexed

About

Andrew C. Singer is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Andrew C. Singer has authored 226 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Electrical and Electronic Engineering, 84 papers in Computer Networks and Communications and 65 papers in Signal Processing. Recurrent topics in Andrew C. Singer's work include Advanced Wireless Communication Techniques (63 papers), Error Correcting Code Techniques (48 papers) and Blind Source Separation Techniques (33 papers). Andrew C. Singer is often cited by papers focused on Advanced Wireless Communication Techniques (63 papers), Error Correcting Code Techniques (48 papers) and Blind Source Separation Techniques (33 papers). Andrew C. Singer collaborates with scholars based in United States, Türkiye and South Korea. Andrew C. Singer's 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 and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Andrew C. Singer

205 papers receiving 4.1k citations

Hit Papers

Turbo equalization: principles and new results 2002 2026 2010 2018 2002 2002 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Turbo equalization: principles and new results
    2002 793 citations M. Tüchler, R. Koetter et al. profile →
  2. Minimum mean squared error equalization using a priori information
    2002 670 citations M. Tüchler, Andrew C. Singer et al. IEEE Transactions on Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew C. Singer United States 30 3.1k 2.2k 776 562 562 226 4.4k
Tareq Y. Al-Naffouri Saudi Arabia 40 4.3k 1.4× 2.0k 0.9× 840 1.1× 857 1.5× 420 0.7× 365 6.2k
P.C. Ching Hong Kong 29 2.2k 0.7× 1.2k 0.5× 1.2k 1.5× 347 0.6× 1.1k 2.0× 233 3.7k
Matthias Pätzold Norway 33 4.2k 1.3× 2.2k 1.0× 224 0.3× 171 0.3× 210 0.4× 287 4.8k
Nir Shlezinger Israel 34 2.9k 0.9× 852 0.4× 460 0.6× 117 0.2× 1.3k 2.4× 185 5.0k
Dario Petri Italy 33 3.0k 1.0× 694 0.3× 258 0.3× 153 0.3× 286 0.5× 278 4.4k
Hikmet Sari China 38 4.8k 1.6× 2.7k 1.2× 511 0.7× 108 0.2× 1.4k 2.4× 264 6.5k
Robert J. Piechocki United Kingdom 27 1.7k 0.6× 1.5k 0.7× 497 0.6× 89 0.2× 540 1.0× 181 3.7k
Maurice Bellanger France 19 1.4k 0.5× 783 0.3× 1.7k 2.2× 58 0.1× 444 0.8× 70 3.8k
Ami Wiesel Israel 27 2.1k 0.7× 1.3k 0.6× 519 0.7× 44 0.1× 651 1.2× 87 3.8k
Jun Yang China 31 2.6k 0.8× 1.1k 0.5× 293 0.4× 318 0.6× 627 1.1× 249 4.0k

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
1.
Weiss, Amir, et al.. (2024). A deep learning method for reflective boundary estimation. The Journal of the Acoustical Society of America. 156(1). 65–80.
2.
Weiss, Amir, et al.. (2023). An architecture for passive joint localization and structure learning in reverberant environments. The Journal of the Acoustical Society of America. 153(1). 665–677. 1 indexed citations
3.
Weiss, Amir, et al.. (2023). On data-driven underwater acoustic direct localization: Design considerations of a deep neural network-based solution. The Journal of the Acoustical Society of America. 153(3_supplement). A177–A177. 1 indexed citations
4.
Oelze, Michael L., et al.. (2022). Effects of acoustic nonlinearity on communication performance in soft tissues. The Journal of the Acoustical Society of America. 152(6). 3583–3594. 3 indexed citations
5.
Corey, Ryan M., et al.. (2022). Reliable measurement using unreliable binary comparisons. Signal Processing. 203. 108808–108808. 2 indexed citations
6.
Singer, Andrew C., et al.. (2022). Broadband Acoustic Communication Aided Underwater Inertial Navigation System. IEEE Robotics and Automation Letters. 7(2). 5198–5205. 13 indexed citations
7.
Corey, Ryan M., et al.. (2020). Acoustic effects of medical, cloth, and transparent face masks on speech signals. The Journal of the Acoustical Society of America. 148(4). 2371–2375. 163 indexed citations
8.
Corey, Ryan M., et al.. (2019). Massive Distributed Microphone Array Dataset. 4 indexed citations
9.
Corey, Ryan M., et al.. (2018). Wearable Microphone Impulse Responses. 2 indexed citations
10.
Buck, John R. & Andrew C. Singer. (2018). A Performance-Weighted Blended Dominant Mode Rejection Beamformer. 124–128. 11 indexed citations
11.
Lin, Yingyan, Min-Sun Keel, Aolin Xu, et al.. (2016). A Study of BER-Optimal ADC-Based Receiver for Serial Links. IEEE Transactions on Circuits and Systems I Regular Papers. 63(5). 693–704. 11 indexed citations
12.
Corey, Ryan M. & Andrew C. Singer. (2016). Spatial Sigma-Delta Signal Acquisition for Wideband Beamforming Arrays. International ITG Workshop on Smart Antennas. 1–7. 15 indexed citations
13.
Kim, Kyeongyeon, Jun Won Choi, Süleyman S. Kozat, & Andrew C. Singer. (2014). Low Complexity Turbo-Equalization: A Clustering Approach. IEEE Communications Letters. 18(6). 1063–1066. 2 indexed citations
14.
Houmansadr, Amir, Thomas Riedl, Nikita Borisov, & Andrew C. Singer. (2013). I want my voice to be heard: IP over Voice-over-IP for unobservable censorship circumvention.. Network and Distributed System Security Symposium. 54 indexed citations
15.
Piñero, Gema & Andrew C. Singer. (2012). Mmse Beamformer Based On Partial Fft Demodulation For Ofdm Underwater Acoustic Communications. INFM-OAR (INFN Catania). 2308–2312. 1 indexed citations
16.
Bean, Andrew & Andrew C. Singer. (2010). Universal switching and side information portfolios under transaction costs using factor graphs. 1986–1989. 4 indexed citations
17.
Koetter, R., Andrew C. Singer, & M. Tüchler. (2004). Turbo equalization. IEEE Signal Processing Magazine. 224 indexed citations
18.
Drost, Robert & Andrew C. Singer. (2004). Factor graph methods for three-dimensional shape reconstruction as applied to LIDAR imaging. Journal of the Optical Society of America A. 21(10). 1855–1855. 1 indexed citations
19.
Shanbhag, Naresh R., et al.. (2004). Switching methods for linear turbo equalization. III–601. 1 indexed citations
20.
Singer, Andrew C. & Meir Feder. (1998). Universal linear prediction over parameters and model orders. IEEE Transactions on Signal Processing. 46(2). 4 indexed citations

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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