Oscar Castañeda

656 total citations
29 papers, 351 citations indexed

About

Oscar Castañeda is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Oscar Castañeda has authored 29 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Oscar Castañeda's work include Advanced MIMO Systems Optimization (20 papers), Advanced Wireless Communication Techniques (9 papers) and Millimeter-Wave Propagation and Modeling (9 papers). Oscar Castañeda is often cited by papers focused on Advanced MIMO Systems Optimization (20 papers), Advanced Wireless Communication Techniques (9 papers) and Millimeter-Wave Propagation and Modeling (9 papers). Oscar Castañeda collaborates with scholars based in United States, Sweden and Switzerland. Oscar Castañeda's co-authors include Christoph Studer, Tom Goldstein, Sven Jacobsson, Giuseppe Durisi, Charles Jeon, Mikael Coldrey, Olav Tirkkonen, Kaipeng Li, Joseph R. Cavallaro and Konstantinos V. Katsaros and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Oscar Castañeda

28 papers receiving 348 citations

Peers

Oscar Castañeda

EEE

CNC

Jesus O. Lacruz Spain

Jianzhong Zhang United States

Ahmet Gokceoglu Finland

Hemanth Prabhu Sweden

Junteng Yao China

Ruicheng Jiao China

Asmaa Abdallah Saudi Arabia

Abdelhamid Salem United Kingdom

Heunchul Lee South Korea

Guido H. Bruck Germany

Jesus O. Lacruz Spain

Oscar Castañeda

311 ×1.0

EEE

185 ×1.5

CNC

57 ×1.1

32 ×1.2

20 ×1.2

Citations per year, relative to Oscar Castañeda Oscar Castañeda (= 1×) peers Jesus O. Lacruz

Countries citing papers authored by Oscar Castañeda

Since Specialization

Citations

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

Fields of papers citing papers by Oscar Castañeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Castañeda

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

All Works

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20 of 20 papers shown

Castañeda, Oscar, et al.. (2025). A Deep-Unfolding-Optimized Coordinate-Descent Data-Detector ASIC for mmWave Massive MIMO. IEEE Journal on Selected Areas in Communications. 43(4). 1323–1338.

Santa, José, et al.. (2022). Evaluation platform for 5G vehicular communications. Vehicular Communications. 38. 100537–100537. 6 indexed citations

Castañeda, Oscar, et al.. (2021). Jammer Mitigation via Beam-Slicing for Low-Resolution mmWave Massive MU-MIMO. SHILAP Revista de lepidopterología. 2. 820–832. 12 indexed citations

Castañeda, Oscar, et al.. (2021). Beam-Slicing for Jammer Mitigation in mmWave Massive MU-MIMO. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

Castañeda, Oscar, et al.. (2021). Resolution-Adaptive All-Digital Spatial Equalization for mmWave Massive MU-MIMO. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

Ni, Renkun, et al.. (2021). WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

Castañeda, Oscar, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, & Christoph Studer. (2020). Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication. IEEE Journal on Selected Areas in Communications. 38(9). 2128–2141. 22 indexed citations

Castañeda, Oscar, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, & Christoph Studer. (2020). High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO With Processing-in-Memory. IEEE Transactions on Circuits & Systems II Express Briefs. 67(5). 891–895. 7 indexed citations

Castañeda, Oscar, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, & Christoph Studer. (2020). Soft-Output Finite Alphabet Equalization for mmWave Massive MIMO. Chalmers Research (Chalmers University of Technology). 1763–1767. 5 indexed citations

10.

Li, Kaipeng, Oscar Castañeda, Charles Jeon, Joseph R. Cavallaro, & Christoph Studer. (2019). Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO. Repository for Publications and Research Data (ETH Zurich). 1–5. 19 indexed citations

11.

Jeon, Charles, Oscar Castañeda, & Christoph Studer. (2019). A 354 Mb/s 0.37 mm² 151 mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS. IEEE Solid-State Circuits Letters. 2(9). 127–130. 12 indexed citations

12.

Jeon, Charles, Oscar Castañeda, & Christoph Studer. (2019). A 354 Mb/s 0.37 mm2 151 mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS. 127–130. 8 indexed citations

13.

Castañeda, Oscar, et al.. (2019). Siamese Neural Networks for Wireless Positioning and Channel Charting. 200–207. 39 indexed citations

14.

Castañeda, Oscar, Tom Goldstein, & Christoph Studer. (2018). VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems. Repository for Publications and Research Data (ETH Zurich). 17 indexed citations

15.

Jacobsson, Sven, Oscar Castañeda, Charles Jeon, Giuseppe Durisi, & Christoph Studer. (2018). Nonlinear Precoding for Phase-Quantized Constant-Envelope Massive MU-MIMO-OFDM. Chalmers Research (Chalmers University of Technology). 367–372. 25 indexed citations

16.

Jacobsson, Sven, Oscar Castañeda, Charles Jeon, Giuseppe Durisi, & Christoph Studer. (2017). Nonlinear Phase-Quantized Constant-Envelope Precoding for Massive MU-MIMO-OFDM.. arXiv (Cornell University). 5 indexed citations

17.

Castañeda, Oscar, Tom Goldstein, & Christoph Studer. (2017). FPGA design of low-complexity joint channel estimation and data detection for large SIMO wireless systems. Repository for Publications and Research Data (ETH Zurich). 1–4. 1 indexed citations

18.

Castañeda, Oscar, Tom Goldstein, & Christoph Studer. (2016). Data Detection in Large Multi-Antenna Wireless Systems via Approximate Semidefinite Relaxation. Repository for Publications and Research Data (ETH Zurich). 36 indexed citations

19.

Castañeda, Oscar, Tom Goldstein, & Christoph Studer. (2016). FPGA design of approximate semidefinite relaxation for data detection in large MIMO wireless systems. Repository for Publications and Research Data (ETH Zurich). 2659–2662. 7 indexed citations

20.

Castañeda, Oscar, et al.. (2012). Using Kriging to Optimize WAAS Performance Over the Entire Solar Cycle. 1310–1333. 2 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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