Tania Panayiotou

586 total citations
49 papers, 400 citations indexed

About

Tania Panayiotou is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Tania Panayiotou has authored 49 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 7 papers in Automotive Engineering. Recurrent topics in Tania Panayiotou's work include Optical Network Technologies (37 papers), Advanced Optical Network Technologies (35 papers) and Advanced Photonic Communication Systems (23 papers). Tania Panayiotou is often cited by papers focused on Optical Network Technologies (37 papers), Advanced Optical Network Technologies (35 papers) and Advanced Photonic Communication Systems (23 papers). Tania Panayiotou collaborates with scholars based in Cyprus, United States and Greece. Tania Panayiotou's co-authors include Georgios Ellinas, Sotirios Chatzis, N. Antoniades, Konstantinos Manousakis, Hafsa Maryam, Ioannis Tomkos, Panayiotis Kolios, Michalis Mavrovouniotis and Carla Fabiana Chiasserini and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Optics Express and Journal of Lightwave Technology.

In The Last Decade

Tania Panayiotou

44 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tania Panayiotou Cyprus 11 346 113 35 21 13 49 400
Jinchuan Tang United Kingdom 9 207 0.6× 121 1.1× 33 0.9× 10 0.5× 10 0.8× 21 297
Muhammet Ali Karabulut Türkiye 11 284 0.8× 199 1.8× 29 0.8× 19 0.9× 7 0.5× 48 365
Weiliang Zhao China 10 204 0.6× 257 2.3× 25 0.7× 11 0.5× 9 0.7× 23 329
Baraa T. Sharef Bahrain 8 287 0.8× 290 2.6× 75 2.1× 27 1.3× 9 0.7× 23 403
Ian Ku United States 4 236 0.7× 288 2.5× 17 0.5× 19 0.9× 15 1.2× 6 323
Stefano Busanelli Italy 10 167 0.5× 238 2.1× 36 1.0× 21 1.0× 13 1.0× 21 301
Alok Nandan United States 7 285 0.8× 362 3.2× 16 0.5× 23 1.1× 8 0.6× 17 427
S. Das United States 5 209 0.6× 265 2.3× 24 0.7× 19 0.9× 7 0.5× 10 299
Onur Altıntaş United States 11 237 0.7× 209 1.8× 11 0.3× 19 0.9× 13 1.0× 33 301
Samir Tohmé France 11 260 0.8× 267 2.4× 14 0.4× 18 0.9× 9 0.7× 58 325

Countries citing papers authored by Tania Panayiotou

Since Specialization
Citations

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

Fields of papers citing papers by Tania Panayiotou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tania Panayiotou

This figure shows the co-authorship network connecting the top 25 collaborators of Tania Panayiotou. A scholar is included among the top collaborators of Tania Panayiotou 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 Tania Panayiotou. Tania Panayiotou 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.
2.
Panayiotou, Tania, et al.. (2024). A Multi-task Transformer Architecture for Drone State Identification and Trajectory Prediction. 285–291. 2 indexed citations
3.
Maryam, Hafsa, Tania Panayiotou, & Georgios Ellinas. (2024). Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks. Zenodo (CERN European Organization for Nuclear Research). 1–5.
4.
Panayiotou, Tania, et al.. (2023). Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance At Urban Intersections. IEEE Transactions on Intelligent Vehicles. 1–17. 3 indexed citations
5.
Kolios, Panayiotis, et al.. (2023). Meal delivery services: Current practices, challenges, and future directions. IEEE Potentials. 43(1). 20–27. 3 indexed citations
6.
Panayiotou, Tania, et al.. (2023). Machine Learning for Real-Time Anomaly Detection in Optical Networks. Zenodo (CERN European Organization for Nuclear Research). 1–4. 5 indexed citations
7.
Panayiotou, Tania, et al.. (2023). Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks. IEEE Communications Surveys & Tutorials. 25(2). 1412–1443. 37 indexed citations
8.
Panayiotou, Tania, et al.. (2022). Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 2140–2145. 2 indexed citations
9.
Panayiotou, Tania & Georgios Ellinas. (2022). Addressing Traffic Prediction Uncertainty in Multi-Period Planning Optical Networks. Optical Fiber Communication Conference (OFC) 2022. M3F.2–M3F.2. 4 indexed citations
10.
Panayiotou, Tania, et al.. (2021). Optimization algorithms for the proactive configuration of elastic optical networks under jamming attacks and demand uncertainty. Optical Switching and Networking. 41. 100618–100618.
11.
Panayiotou, Tania, Hafsa Maryam, & Georgios Ellinas. (2021). Deep Quantile Regression for QoT Inference and Confident Decision Making. Zenodo (CERN European Organization for Nuclear Research). 1–6. 5 indexed citations
12.
Panayiotou, Tania, Konstantinos Manousakis, Sotirios Chatzis, & Georgios Ellinas. (2018). On learning bandwidth allocation models for time-varying traffic in flexible optical networks. Ktisis at Cyprus University of Technology (Cyprus University of Technology). 194–199. 9 indexed citations
13.
Panayiotou, Tania, Sotirios Chatzis, & Georgios Ellinas. (2018). Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks. Journal of Optical Communications and Networking. 10(3). 162–162. 52 indexed citations
14.
Panayiotou, Tania, Sotirios Chatzis, & Georgios Ellinas. (2017). A probabilistic approach for failure localization. Ktisis at Cyprus University of Technology (Cyprus University of Technology). 1–6. 4 indexed citations
15.
Panayiotou, Tania, Georgios Ellinas, & Sotirios Chatzis. (2016). A data-driven QoT decision approach for multicast connections in metro optical networks. Ktisis at Cyprus University of Technology (Cyprus University of Technology). 1–6. 6 indexed citations
16.
Panayiotou, Tania, Georgios Ellinas, & N. Antoniades. (2014). Q-based provisioning for multicast connections in translucent metropolitan area networks. 222–227. 1 indexed citations
17.
Panayiotou, Tania, Georgios Ellinas, & N. Antoniades. (2013). Protection algorithms for groupcast sessions in transparent optical networks with mesh topologies. 179–183. 2 indexed citations
18.
Panayiotou, Tania, Georgios Ellinas, & N. Antoniades. (2012). p-Cycle-based protection of multicast connections in metropolitan area optical networks with quality-of-transmission considerations. 719–724. 2 indexed citations
19.
Panayiotou, Tania, et al.. (2012). Hybrid graph-based traffic grooming for multicast connections in mesh optical networks. 4233. 50–54. 2 indexed citations
20.

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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