Osvaldo Simeone

17.0k total citations · 5 hit papers
424 papers, 10.7k citations indexed

About

Osvaldo Simeone is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Osvaldo Simeone has authored 424 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 321 papers in Electrical and Electronic Engineering, 267 papers in Computer Networks and Communications and 79 papers in Artificial Intelligence. Recurrent topics in Osvaldo Simeone's work include Cooperative Communication and Network Coding (172 papers), Advanced MIMO Systems Optimization (163 papers) and Wireless Communication Security Techniques (101 papers). Osvaldo Simeone is often cited by papers focused on Cooperative Communication and Network Coding (172 papers), Advanced MIMO Systems Optimization (163 papers) and Wireless Communication Security Techniques (101 papers). Osvaldo Simeone collaborates with scholars based in United States, United Kingdom and Israel. Osvaldo Simeone's co-authors include Shlomo Shamai, Umberto Spagnolini, Y. Bar-Ness, Seongah Jeong, Onur Sahin, Joonhyuk Kang, Wei Yu, David Gesbert, Howard Huang and Stephen V. Hanly and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

Osvaldo Simeone

406 papers receiving 10.4k citations

Hit Papers

Multi-Cell MIMO Cooperati... 2008 2026 2014 2020 2010 2017 2020 2008 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Osvaldo Simeone United States 43 8.4k 6.7k 1.7k 1.2k 467 424 10.7k
Rahim Tafazolli United Kingdom 51 9.0k 1.1× 7.1k 1.1× 2.5k 1.4× 786 0.7× 369 0.8× 829 12.2k
Trung Q. Duong United Kingdom 67 12.8k 1.5× 8.2k 1.2× 2.9k 1.7× 1.2k 1.0× 845 1.8× 570 15.7k
Vincent K. N. Lau Hong Kong 49 9.9k 1.2× 6.3k 0.9× 1.5k 0.9× 961 0.8× 278 0.6× 524 11.6k
Meixia Tao China 49 6.1k 0.7× 5.0k 0.7× 1.4k 0.8× 737 0.6× 426 0.9× 330 8.0k
Ming Xiao Sweden 44 8.1k 1.0× 4.3k 0.6× 2.2k 1.3× 1.0k 0.9× 283 0.6× 396 10.6k
Branka Vucetic Australia 66 13.4k 1.6× 10.6k 1.6× 2.2k 1.3× 1.6k 1.3× 524 1.1× 642 16.2k
Rose Qingyang Hu United States 55 8.3k 1.0× 5.8k 0.9× 2.2k 1.3× 1.2k 1.0× 730 1.6× 363 11.1k
Jiangzhou Wang United Kingdom 50 9.7k 1.2× 4.2k 0.6× 4.1k 2.4× 715 0.6× 249 0.5× 497 11.5k
Wei Chen China 35 4.7k 0.6× 3.5k 0.5× 1.0k 0.6× 777 0.6× 286 0.6× 448 6.8k
Kaushik Chowdhury United States 48 6.3k 0.8× 6.5k 1.0× 2.0k 1.1× 1.8k 1.5× 1.1k 2.4× 234 11.0k

Countries citing papers authored by Osvaldo Simeone

Since Specialization
Citations

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

Fields of papers citing papers by Osvaldo Simeone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osvaldo Simeone

This figure shows the co-authorship network connecting the top 25 collaborators of Osvaldo Simeone. A scholar is included among the top collaborators of Osvaldo Simeone 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 Osvaldo Simeone. Osvaldo Simeone 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.
Park, Sangwoo, et al.. (2025). Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning. IEEE Transactions on Vehicular Technology. 74(11). 17637–17651. 1 indexed citations
2.
Park, Seok-Hwan, et al.. (2025). Hybrid Digital-Wave Beamforming for Cell-Free Massive MIMO Systems With Fronthaul Compression. 1–7. 1 indexed citations
3.
Rajendran, Bipin, et al.. (2025). Neuromorphic Wireless Split Computing With Multi-Level Spikes. SHILAP Revista de lepidopterología. 3. 502–516. 1 indexed citations
4.
Park, Sangwoo, et al.. (2024). Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction. IEEE Journal of Selected Topics in Signal Processing. 19(1). 45–59. 5 indexed citations
5.
Park, Sangwoo, et al.. (2024). Generalization and Informativeness of Conformal Prediction. 244–249. 3 indexed citations
6.
Park, Sangwoo, et al.. (2024). Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers With Reliability Guarantees. IEEE Journal of Selected Topics in Signal Processing. 19(1). 88–102. 4 indexed citations
7.
Park, Sangwoo, et al.. (2024). Cross-Validation Conformal Risk Control. 250–255. 4 indexed citations
8.
Yu, Kai, et al.. (2024). In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. 1573–1578. 7 indexed citations
9.
Simeone, Osvaldo, et al.. (2024). Calibrating Wireless Ray Tracing for Digital Twinning Using Local Phase Error Estimates. SHILAP Revista de lepidopterología. 2. 1193–1215. 9 indexed citations
10.
Park, Sangwoo, et al.. (2024). Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. Entropy. 26(2). 126–126. 2 indexed citations
11.
Park, Sangwoo, et al.. (2024). Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning. IEEE Transactions on Signal Processing. 72. 4635–4650. 5 indexed citations
12.
Couto, Rodrigo S., et al.. (2023). On the impact of deep neural network calibration on adaptive edge offloading for image classification. Journal of Network and Computer Applications. 217. 103679–103679. 11 indexed citations
13.
Utkovski, Zoran, et al.. (2021). Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. IEEE Signal Processing Letters. 28. 728–732. 17 indexed citations
14.
Simeone, Osvaldo, et al.. (2019). Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs\n Cloud Detection and Learning. arXiv (Cornell University). 11 indexed citations
15.
Simeone, Osvaldo, et al.. (2019). An Introduction to Probabilistic Spiking Neural Networks.. arXiv (Cornell University). 2 indexed citations
16.
Mahmoodi, Toktam, et al.. (2018). Reliable and Low-Latency Fronthaul for Tactile Internet Applications. IEEE Journal on Selected Areas in Communications. 36(11). 2455–2463. 23 indexed citations
17.
Simeone, Osvaldo, et al.. (2018). Spiking Neural Networks: A Stochastic Signal Processing Perspective. arXiv (Cornell University). 1 indexed citations
18.
Al-Shuwaili, Ali & Osvaldo Simeone. (2016). Optimal Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications.. arXiv (Cornell University). 4 indexed citations
19.
Simeone, Osvaldo, Nathan Levy, Amichai Sanderovich, et al.. (2012). Cooperative Wireless Cellular Systems: An Information-Theoretic View. 8(1-2). 1–177. 45 indexed citations
20.
Nicoli, Monica, et al.. (2002). Subspace-based methods for channel estimation in the TD-SCDMA system. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 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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