Behnam Shariati

1.2k total citations
73 papers, 857 citations indexed

About

Behnam Shariati is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Behnam Shariati has authored 73 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Behnam Shariati's work include Optical Network Technologies (49 papers), Advanced Photonic Communication Systems (40 papers) and Advanced Optical Network Technologies (39 papers). Behnam Shariati is often cited by papers focused on Optical Network Technologies (49 papers), Advanced Photonic Communication Systems (40 papers) and Advanced Optical Network Technologies (39 papers). Behnam Shariati collaborates with scholars based in Germany, Spain and Greece. Behnam Shariati's co-authors include Ioannis Tomkos, Luis Velasco, José Manuel Rivas-Moscoso, Marc Ruiz, Dimitrios Klonidis, Jaume Comellas, Johannes Fischer, Pouria Sayyad Khodashenas, Federico Pederzolli and Domenico Siracusa and has published in prestigious journals such as IEEE Communications Magazine, Journal of Lightwave Technology and Frontiers in Aging Neuroscience.

In The Last Decade

Behnam Shariati

61 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Behnam Shariati Germany 16 758 97 86 44 18 73 857
Jaume Comellas Spain 14 1.2k 1.5× 245 2.5× 52 0.6× 34 0.8× 10 0.6× 119 1.2k
Patricia Layec France 15 667 0.9× 124 1.3× 65 0.8× 26 0.6× 6 0.3× 83 736
Andrea Di Giglio Italy 11 500 0.7× 224 2.3× 62 0.7× 15 0.3× 13 0.7× 27 593
Alba P. Vela Spain 9 367 0.5× 176 1.8× 55 0.6× 23 0.5× 6 0.3× 23 443
Francesco Fresi Italy 18 1.2k 1.6× 170 1.8× 53 0.6× 185 4.2× 7 0.4× 121 1.3k
Anshul Jaiswal India 13 431 0.6× 135 1.4× 40 0.5× 36 0.8× 63 3.5× 43 552
Mi‐Kyung Oh South Korea 11 258 0.3× 139 1.4× 35 0.4× 17 0.4× 15 0.8× 47 331
Danish Rafique Ireland 17 911 1.2× 136 1.4× 105 1.2× 183 4.2× 14 0.8× 55 1.0k
Liangchuan Li China 18 923 1.2× 80 0.8× 36 0.4× 176 4.0× 3 0.2× 66 968
Mutlu Koca Türkiye 13 544 0.7× 205 2.1× 33 0.4× 15 0.3× 5 0.3× 95 596

Countries citing papers authored by Behnam Shariati

Since Specialization
Citations

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

Fields of papers citing papers by Behnam Shariati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnam Shariati

This figure shows the co-authorship network connecting the top 25 collaborators of Behnam Shariati. A scholar is included among the top collaborators of Behnam Shariati 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 Behnam Shariati. Behnam Shariati 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.
Emmerich, Robert, et al.. (2025). Exploring the potential of longitudinal power monitoring for detecting physical-layer attacks [Invited]. Journal of Optical Communications and Networking. 17(7). C30–C30.
2.
Safari, Pooyan, et al.. (2024). Secure federated learning for Alzheimer's disease detection. Frontiers in Aging Neuroscience. 16. 1324032–1324032. 14 indexed citations
3.
Natalino, Carlos, Behnam Shariati, Pooyan Safari, Johannes Fischer, & Paolo Monti. (2024). Analysis and Mitigation of Unwanted Biases in ML-based QoT Classification Tasks. Chalmers Research (Chalmers University of Technology). M1H.3–M1H.3.
4.
Natalino, Carlos, Behnam Shariati, Piotr Lechowicz, et al.. (2024). TAPI-based Telemetry Streaming in Multi-domain Optical Transport Network. Chalmers Research (Chalmers University of Technology). M3Z.9–M3Z.9.
5.
Shariati, Behnam, et al.. (2024). Experimental dataset for developing and testing ML models in optical communication systems. Journal of Optical Communications and Networking. 16(11). G1–G1. 3 indexed citations
6.
7.
Ruiz, Marc, Behnam Shariati, Nelson Costa, et al.. (2023). Experimental Validation of Deep Learning-based Models for Optical Time Domain Analysis. Fraunhofer-Publica (Fraunhofer-Gesellschaft). SF1F.1–SF1F.1.
8.
Shariati, Behnam, et al.. (2023). Telemetry Framework with Data Sovereignty Features. M3G.2–M3G.2. 3 indexed citations
9.
Casellas, Ramon, Achim Autenrieth, Fabien Boitier, et al.. (2023). Distributed Architecture Supporting Intelligent Optical Measurement Aggregation and Streaming Event Telemetry. QRU Quaderns de Recerca en Urbanisme. M3Z.4–M3Z.4. 4 indexed citations
10.
Shariati, Behnam, et al.. (2023). Telemetry Framework with Data Sovereignty Features. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–3. 1 indexed citations
11.
Fischer, Johannes, Behnam Shariati, Ronald Freund, et al.. (2022). Standardization of the 5th Generation Fixed Network for Enabling End-to-End Network Slicing and Quality-Assured Services. IEEE Communications Standards Magazine. 6(4). 96–103. 6 indexed citations
12.
Safari, Pooyan, et al.. (2021). Secure Multi-Party Computation and Statistics Sharing for ML Model Training in Multi-domain Multi-vendor Networks. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 2 indexed citations
13.
Shariati, Behnam, et al.. (2021). ML-assisted QoT estimation: a dataset collection and data visualization for dataset quality evaluation. Journal of Optical Communications and Networking. 14(3). 43–43. 14 indexed citations
14.
Ruiz, Marc, Fabien Boitier, Behnam Shariati, Patricia Layec, & Luis Velasco. (2020). Predictive autonomic transmission for low-cost low-margin metro optical networks. Photonic Network Communications. 40(2). 68–81. 1 indexed citations
15.
Shariati, Behnam, Marc Ruiz, Francesco Fresi, et al.. (2020). Real-time optical spectrum monitoring in filterless optical metro networks. Photonic Network Communications. 40(1). 1–13. 5 indexed citations
16.
Velasco, Luis, Behnam Shariati, Fabien Boitier, Patricia Layec, & Marc Ruiz. (2019). Learning Life Cycle to Speed Up Autonomic Optical Transmission and Networking Adoption. Journal of Optical Communications and Networking. 11(5). 226–226. 34 indexed citations
17.
Fischer, Johannes, Pablo Wilke Berenguer, Behnam Shariati, et al.. (2019). Optical Multi-Band Networks: Maximizing Lifetime of Deployed Fiber Infrastructure. NeT3D.3–NeT3D.3. 1 indexed citations
18.
Shariati, Behnam, Marc Ruiz, & Luis Velasco. (2019). Out-of-field Generic ML Training with In-field Specific Adaptation to Facilitate ML Deployments. QRU Quaderns de Recerca en Urbanisme. Tu2E.3–Tu2E.3. 4 indexed citations
19.
Shariati, Behnam, Marc Ruiz, Jaume Comellas, & Luis Velasco. (2018). Learning From the Optical Spectrum: Failure Detection and Identification. Journal of Lightwave Technology. 37(2). 433–440. 80 indexed citations
20.
Pederzolli, Federico, Domenico Siracusa, José Manuel Rivas-Moscoso, et al.. (2016). Spatial group sharing for SDM optical networks with Joint Switching. Institutional Research Information System (Università degli Studi di Trento). 11 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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