Joseph R. Cavallaro

7.4k total citations · 2 hit papers
292 papers, 5.1k citations indexed

About

Joseph R. Cavallaro is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Joseph R. Cavallaro has authored 292 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Electrical and Electronic Engineering, 183 papers in Computer Networks and Communications and 34 papers in Artificial Intelligence. Recurrent topics in Joseph R. Cavallaro's work include Advanced Wireless Communication Techniques (145 papers), Wireless Communication Networks Research (90 papers) and Error Correcting Code Techniques (67 papers). Joseph R. Cavallaro is often cited by papers focused on Advanced Wireless Communication Techniques (145 papers), Wireless Communication Networks Research (90 papers) and Error Correcting Code Techniques (67 papers). Joseph R. Cavallaro collaborates with scholars based in United States, Finland and United Kingdom. Joseph R. Cavallaro's co-authors include Michael Wu, Yang Sun, Ian D. Walker, Christoph Studer, Bei Yin, M.L. Visinsky, Marjan Karkooti, Chris Dick, Alan Marshall and Junqing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Communications Surveys & Tutorials.

In The Last Decade

Joseph R. Cavallaro

278 papers receiving 4.8k citations

Hit Papers

Large-Scale MIMO Detection for 3GPP LTE: Algorithms and F... 2014 2026 2018 2022 2014 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph R. Cavallaro United States 37 3.4k 2.4k 891 551 526 292 5.1k
Yik‐Chung Wu Hong Kong 35 3.1k 0.9× 2.6k 1.1× 546 0.6× 194 0.4× 339 0.6× 225 4.6k
Suhas Diggavi United States 35 3.7k 1.1× 4.1k 1.7× 1.1k 1.2× 1.1k 2.1× 239 0.5× 300 6.0k
Holger Boche Germany 41 6.7k 2.0× 5.2k 2.1× 911 1.0× 177 0.3× 397 0.8× 739 8.7k
Mikael Skoglund Sweden 34 4.2k 1.2× 3.7k 1.5× 956 1.1× 343 0.6× 390 0.7× 557 5.7k
H. Meyr Germany 40 5.1k 1.5× 4.1k 1.7× 647 0.7× 219 0.4× 1.1k 2.1× 292 7.5k
Andreas Burg Switzerland 36 4.6k 1.3× 3.0k 1.2× 884 1.0× 86 0.2× 244 0.5× 263 5.4k
Anant Sahai United States 29 4.1k 1.2× 4.8k 2.0× 441 0.5× 704 1.3× 594 1.1× 152 6.7k
Meir Feder Israel 35 2.3k 0.7× 1.7k 0.7× 1.6k 1.8× 225 0.4× 1.3k 2.4× 218 5.1k
Alexandros G. Dimakis United States 40 2.3k 0.7× 7.3k 3.0× 1.4k 1.5× 133 0.2× 271 0.5× 143 8.8k
Markku Renfors Finland 35 4.1k 1.2× 1.6k 0.7× 190 0.2× 142 0.3× 1.1k 2.1× 340 5.3k

Countries citing papers authored by Joseph R. Cavallaro

Since Specialization
Citations

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

Fields of papers citing papers by Joseph R. Cavallaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph R. Cavallaro. 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 Joseph R. Cavallaro. The network helps show where Joseph R. Cavallaro may publish in the future.

Co-authorship network of co-authors of Joseph R. Cavallaro

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph R. Cavallaro. A scholar is included among the top collaborators of Joseph R. Cavallaro 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 Joseph R. Cavallaro. Joseph R. Cavallaro 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.
Cavallaro, Joseph R., et al.. (2023). Deep Learning System for Left Ventricular Assist Device Candidate Assessment from Electrocardiograms. Computing in cardiology. 50.
2.
Amara, Amara, Guoxing Wang, Yen-Kuang Chen, et al.. (2023). IEEE Transactions on Circuits and Systems for Video Technology publication information. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). C3–C3. 1 indexed citations
3.
Cavallaro, Joseph R., et al.. (2022). FPGA-based DNN Hardware Accelerator for Sensor Network Aggregation Node. 322–327. 1 indexed citations
4.
Doost-Mohammady, Rahman, Lin Zhong, Joseph R. Cavallaro, et al.. (2018). RENEW: Programmable and Observable Massive MIMO Networks. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 1654–1658. 13 indexed citations
5.
Vosoughi, Aida, Joseph R. Cavallaro, & Alan Marshall. (2017). A Context-Aware Trust Framework for Resilient Distributed Cooperative Spectrum Sensing in Dynamic Settings. IEEE Transactions on Vehicular Technology. 66(10). 9177–9191. 8 indexed citations
6.
Plishker, William, et al.. (2012). GPU-based acceleration of symbol timing recovery. 1–8. 5 indexed citations
7.
Juntti, Markku, et al.. (2008). The Effect of Preprocessing to the Complexity of List Sphere Detector Algorithms. Rice Digital Scholarship Archive (Rice University). 2 indexed citations
8.
Baynast, Alexandre de, et al.. (2006). High-throughput multi-rate LDPC decoder based on architecture-oriented parity check matrices. Rice Digital Scholarship Archive (Rice University). 1–5. 2 indexed citations
9.
Cavallaro, Joseph R., et al.. (2006). Hardware/Software Co-design Methodology and DSP/FPGA Partitioning: A Case Study for Meeting Real-Time Processing Deadlines in 3.5G Mobile Receivers. Rice Digital Scholarship Archive (Rice University).
10.
Baynast, Alexandre de, et al.. (2006). On Turbo-Schedules for LDPC Decoding. IEEE Communications Letters. 3 indexed citations
11.
Cavallaro, Joseph R., et al.. (2005). Rapid Industrial Prototyping and Scheduling of 3G/4G SoC Architectures with HLS Methodology. Rice Digital Scholarship Archive (Rice University). 1 indexed citations
12.
Cavallaro, Joseph R., et al.. (2003). Rapid Scheduling of Efficient VLSI Architectures for Next-Generation HSDPA. 179–185. 5 indexed citations
13.
Rajagopal, Sridhar & Joseph R. Cavallaro. (2002). Low Power Detector Architectures Using On-Line Arithmetic for Mobile Communication Receivers. 1 indexed citations
14.
Visinsky, M.L., et al.. (2002). Fault tolerant algorithms and architectures for robotics. Rice Digital Scholarship Archive (Rice University). 1034–1036. 7 indexed citations
15.
Rajagopal, Sridhar, Srikrishna Bhashyam, Joseph R. Cavallaro, & Behnaam Aazhang. (2000). VLSI Architectures for Multiuser Channel Estimation for W-CDMA Communication Systems. 1 indexed citations
16.
Rajagopal, Sridhar, Bryan A. Jones, & Joseph R. Cavallaro. (2000). Task Partitioning Wireless Base-station Receiver Algorithms on Multiple DSPs and FPGAs. Rice Digital Scholarship Archive (Rice University). 9 indexed citations
17.
Das, Suman, Elza Erkip, Joseph R. Cavallaro, & Behnaam Aazhang. (1998). Iterative Multiuser Detection and Decoding. Rice Digital Scholarship Archive (Rice University). 106–111. 9 indexed citations
18.
Visinsky, M.L., Ian D. Walker, & Joseph R. Cavallaro. (1993). Robotic fault tolerance: algorithms and architectures. Rice Digital Scholarship Archive (Rice University). 53–73. 7 indexed citations
19.
Cavallaro, Joseph R., et al.. (1991). VLSI Implementation of a CORDIC SVD Processor. Rice Digital Scholarship Archive (Rice University). 256–260. 1 indexed citations
20.
Deo, A.S., Joseph R. Cavallaro, & Ian D. Walker. (1991). New Real-Time Robot Motion Algorithms Using Parallel VLSI Architectures. Rice Digital Scholarship Archive (Rice University). 369–375. 1 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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