Marcel Nassar

1.5k total citations
29 papers, 881 citations indexed

About

Marcel Nassar is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Marcel Nassar has authored 29 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Marcel Nassar's work include Power Line Communications and Noise (13 papers), Electromagnetic Compatibility and Noise Suppression (10 papers) and Advanced Wireless Communication Techniques (5 papers). Marcel Nassar is often cited by papers focused on Power Line Communications and Noise (13 papers), Electromagnetic Compatibility and Noise Suppression (10 papers) and Advanced Wireless Communication Techniques (5 papers). Marcel Nassar collaborates with scholars based in United States, Egypt and Lebanon. Marcel Nassar's co-authors include Brian L. Evans, Jing Lin, Anand G. Dabak, Il Kim, Kapil Gulati, Philip Schniter, Il Han Kim, Yousef Mortazavi, Oğuz H. Elibol and Karl Nieman and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Marcel Nassar

28 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Nassar United States 15 697 123 96 87 75 29 881
André Noll Barreto Germany 16 922 1.3× 498 4.0× 70 0.7× 100 1.1× 70 0.9× 89 1.2k
Hideichi Sasaoka Japan 12 616 0.9× 331 2.7× 273 2.8× 157 1.8× 120 1.6× 91 720
Victor B. Lawrence United States 13 255 0.4× 306 2.5× 65 0.7× 75 0.9× 109 1.5× 71 594
Cheolwoo You South Korea 10 291 0.4× 184 1.5× 22 0.2× 158 1.8× 145 1.9× 72 478
Colin C. Murphy Ireland 13 165 0.2× 204 1.7× 75 0.8× 236 2.7× 82 1.1× 54 522
Thomas W. Rondeau United States 15 579 0.8× 496 4.0× 60 0.6× 183 2.1× 91 1.2× 20 927
Jean‐Yves Chouinard Canada 20 930 1.3× 527 4.3× 284 3.0× 241 2.8× 127 1.7× 122 1.3k
Xin Xiao United States 19 645 0.9× 194 1.6× 35 0.4× 86 1.0× 95 1.3× 65 867
Badri N. Vellambi Australia 11 660 0.9× 406 3.3× 58 0.6× 81 0.9× 47 0.6× 51 834
Pablo Piantanida France 14 332 0.5× 263 2.1× 116 1.2× 281 3.2× 28 0.4× 82 600

Countries citing papers authored by Marcel Nassar

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Nassar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Nassar

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Nassar. A scholar is included among the top collaborators of Marcel Nassar 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 Marcel Nassar. Marcel Nassar 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.
Ko, Tsz Wai, Bowen Deng, Marcel Nassar, et al.. (2025). Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry. npj Computational Materials. 11(1). 6 indexed citations
2.
Mostafa, Hesham, et al.. (2023). Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5119–5128. 9 indexed citations
3.
Nassar, Marcel, et al.. (2022). Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(7). 2163–2173. 24 indexed citations
4.
Simsek, Meryem, Oner Orhan, Marcel Nassar, Oğuz H. Elibol, & Hosein Nikopour. (2020). IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach. IEEE Communications Letters. 25(2). 489–493. 24 indexed citations
5.
Nassar, Marcel, et al.. (2020). Structured Citation Trend Prediction Using Graph Neural Networks. arXiv (Cornell University). 3897–3901. 11 indexed citations
6.
Nassar, Marcel, et al.. (2018). Flexpoint: Predictive Numerics for Deep Learning. 1–4. 16 indexed citations
7.
Köster, Urs, Tristan J. Webb, Xin Wang, et al.. (2017). Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. Neural Information Processing Systems. 30. 1742–1752. 76 indexed citations
8.
Nieman, Karl, Marcel Nassar, Jing Lin, & Brian L. Evans. (2013). FPGA implementation of a message-passing OFDM receiver for impulsive noise channels. 2041–2045. 4 indexed citations
9.
Lin, Jing, Marcel Nassar, & Brian L. Evans. (2013). Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning. IEEE Journal on Selected Areas in Communications. 31(7). 1172–1183. 188 indexed citations
10.
Nieman, Karl, Jing Lin, Marcel Nassar, Khurram Waheed, & Brian L. Evans. (2013). Cyclic spectral analysis of power line noise in the 3–200 kHz band. 315–320. 33 indexed citations
11.
Nassar, Marcel. (2013). Graphical models and message passing receivers for interference limited communication systems. Texas ScholarWorks (Texas Digital Library). 4 indexed citations
12.
Nassar, Marcel, et al.. (2013). A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels. 1929–1933. 1 indexed citations
13.
Nassar, Marcel, et al.. (2012). Cyclostationary noise modeling in narrowband powerline communication for Smart Grid applications. 3089–3092. 86 indexed citations
14.
Lin, Jing, Marcel Nassar, & Brian L. Evans. (2011). Non-Parametric Impulsive Noise Mitigation in OFDM Systems Using Sparse Bayesian Learning. 45. 1–5. 18 indexed citations
15.
Nassar, Marcel, et al.. (2011). Stochastic Modeling of Microwave Oven Interference in WLANs. 2. 1–6. 12 indexed citations
16.
Dawy, Zaher, et al.. (2010). A multiorganism based method for Bayesian gene network estimation. Biosystems. 103(3). 425–434. 1 indexed citations
17.
Nassar, Marcel, et al.. (2009). Mitigating Near-field Interference in Laptop Embedded Wireless Transceivers. Journal of Signal Processing Systems. 63(1). 1–12. 33 indexed citations
18.
Nassar, Marcel, et al.. (2008). A new multitask learning method for multiorganism gene network estimation. 4. 2287–2291. 8 indexed citations
19.
Nassar, Marcel, et al.. (2008). Mitigating near-field interference in laptop embedded wireless transceivers. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1405–1408. 39 indexed citations
20.
Nassar, Marcel, et al.. (2003). Coherent hybrid DS/SFH-SSMA micro and macro cellular communication. 48 5. 352–357. 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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2026