Paul Almasan

741 total citations
12 papers, 343 citations indexed

About

Paul Almasan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Paul Almasan has authored 12 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Paul Almasan's work include Software-Defined Networks and 5G (11 papers), Advanced Memory and Neural Computing (4 papers) and Advanced Optical Network Technologies (4 papers). Paul Almasan is often cited by papers focused on Software-Defined Networks and 5G (11 papers), Advanced Memory and Neural Computing (4 papers) and Advanced Optical Network Technologies (4 papers). Paul Almasan collaborates with scholars based in Spain, China and Poland. Paul Almasan's co-authors include Albert Cabellos‐Aparicio, José Suárez‐Varela, Krzysztof Rusek, Pere Barlet‐Ros, Shihan Xiao, Xiangle Cheng, Miquel Ferriol-Galmés, Xiang Shi, Diego Perino and Laurent Ciavaglia and has published in prestigious journals such as IEEE Communications Magazine, Applied Sciences and Computer Networks.

In The Last Decade

Paul Almasan

11 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Almasan Spain	7	238	115	66	48	28	12	343
Miquel Ferriol-Galmés China	6	187 0.8×	70 0.6×	61 0.9×	69 1.4×	28 1.0×	13	285
Jaime Galán–Jiménez Spain	11	353 1.5×	168 1.5×	30 0.5×	27 0.6×	68 2.4×	82	434
Lanfranco Zanzi Spain	10	210 0.9×	118 1.0×	55 0.8×	11 0.2×	28 1.0×	22	295
Estefanía Coronado Spain	14	514 2.2×	302 2.6×	42 0.6×	21 0.4×	71 2.5×	62	610
Haolin Liu China	9	221 0.9×	138 1.2×	50 0.8×	12 0.3×	54 1.9×	35	326
Jasone Astorga Spain	10	309 1.3×	144 1.3×	81 1.2×	53 1.1×	81 2.9×	45	436
Aamir Akbar Pakistan	11	269 1.1×	129 1.1×	51 0.8×	12 0.3×	102 3.6×	17	356
Mariví Higuero Spain	9	307 1.3×	205 1.8×	54 0.8×	42 0.9×	60 2.1×	37	421

Countries citing papers authored by Paul Almasan

Since Specialization

Citations

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

Fields of papers citing papers by Paul Almasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Almasan

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Almasan. A scholar is included among the top collaborators of Paul Almasan 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 Paul Almasan. Paul Almasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Almasan, Paul, José Suárez‐Varela, Andra Lutu, Albert Cabellos‐Aparicio, & Pere Barlet‐Ros. (2023). Enhancing 5G Radio Planning with Graph Representations and Deep Learning. UPCommons institutional repository (Universitat Politècnica de Catalunya). 14–20. 1 indexed citations

Almasan, Paul, Miquel Ferriol-Galmés, Jordi Paillissé, et al.. (2022). Network digital twin: context, enabling technologies, and opportunities. UPCommons institutional repository (Universitat Politècnica de Catalunya). 85 indexed citations

Almasan, Paul, et al.. (2022). Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. QRU Quaderns de Recerca en Urbanisme. 1–5. 6 indexed citations

Suárez‐Varela, José, Paul Almasan, Miquel Ferriol-Galmés, et al.. (2022). Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Network. 37(3). 146–153. 54 indexed citations

Rusek, Krzysztof, Paul Almasan, José Suárez‐Varela, et al.. (2022). Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. QRU Quaderns de Recerca en Urbanisme. 359–363. 3 indexed citations

Almasan, Paul, et al.. (2022). Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Computer Communications. 196. 184–194. 121 indexed citations

Almasan, Paul, Shihan Xiao, Xiangle Cheng, et al.. (2022). ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Computer Networks. 214. 109166–109166. 17 indexed citations

Almasan, Paul, Miquel Ferriol-Galmés, Jordi Paillissé, et al.. (2022). Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Communications Magazine. 60(11). 22–27. 4 indexed citations

Careglio, Davide, Salvatore Spadaro, Albert Cabellos‐Aparicio, et al.. (2021). Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond. Applied Sciences. 11(19). 9130–9130. 2 indexed citations

10.

Suárez‐Varela, José, Krzysztof Rusek, Paul Almasan, et al.. (2019). Challenging the generalization capabilities of Graph Neural Networks for network modeling. QRU Quaderns de Recerca en Urbanisme. 114–115. 30 indexed citations

11.

Suárez‐Varela, José, et al.. (2019). Towards more realistic network models based on Graph Neural Networks. QRU Quaderns de Recerca en Urbanisme. 14–16. 14 indexed citations

12.

Almasan, Paul, et al.. (2019). Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. 6 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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