Elias Giacoumidis

100 papers receiving 1.6k citations

Peers

Elias Giacoumidis
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 1.6k
  • Atomic and Molecular Physics, and Optics 378
  • Artificial Intelligence 139
  • Signal Processing 36
  • Computer Networks and Communications 35
Replace Maxim Kuschnerov with:
Maxim Kuschnerov Germany
Metodi P. Yankov Denmark
Jinlong Wei United Kingdom
Mathieu Chagnon Canada
Norbert Hanik Germany
Fernando P. Guiomar Portugal
Pontus Johannisson Sweden
Bernhard Spinnler Germany
Tobias A. Eriksson Sweden
Lídia Galdino United Kingdom
Elias Giacoumidis relative to Maxim Kuschnerov Germany Maxim Kuschnerov's profile →
Citations per field
00.5×3.1×
Maxim Kuschnerov · 1×
Citations per year

Countries citing papers authored by Elias Giacoumidis

Since Specialization
Citations

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

Fields of papers citing papers by Elias Giacoumidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elias Giacoumidis

This figure shows the co-authorship network connecting the top 25 collaborators of Elias Giacoumidis. A scholar is included among the top collaborators of Elias Giacoumidis 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 Elias Giacoumidis. Elias Giacoumidis 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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 18
6
Exceeding the Nonlinear Shannon-Limit in Coherent Optical Communications using 3D Adaptive Machine Learning
2
7 35
8 54
9
Optical Fiber Communication Conference, OFC 2015
7
10 62
11 13
12 46
13 27
14 18
15 2
16
Performance optimization of adaptive loading algorithms for SMF-based optical OFDM transceivers
2
17
Experimental demonstration of record high 11.25Gb/s real-time end-to-end optical OFDM transceivers for PONs
2
18 107
19 19
20 27

About Elias Giacoumidis

Elias Giacoumidis is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optical Network Technologies (94 papers), Advanced Photonic Communication Systems (85 papers) and Photonic and Optical Devices (27 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.6k citations), Atomic and Molecular Physics, and Optics (378 citations) and Artificial Intelligence (139 citations). Elias Giacoumidis has collaborated with scholars based in United Kingdom, Germany and Ireland. Frequent co-authors include Jinlong Wei, N.J. Doran, Athanasios Tsokanos, Jianming Tang, A.D. Ellis, Ivan Aldaya, Son Thai Le, Ioannis Tomkos, Sofien Mhatli and Mutsam A. Jarajreh. Their work appears in journals such as Optics Letters, Optics Express and Journal of Lightwave Technology.

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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