Jakob Thrane

497 total citations
12 papers, 363 citations indexed

About

Jakob Thrane is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jakob Thrane has authored 12 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 4 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Jakob Thrane's work include Advanced MIMO Systems Optimization (4 papers), Millimeter-Wave Propagation and Modeling (4 papers) and IoT Networks and Protocols (3 papers). Jakob Thrane is often cited by papers focused on Advanced MIMO Systems Optimization (4 papers), Millimeter-Wave Propagation and Modeling (4 papers) and IoT Networks and Protocols (3 papers). Jakob Thrane collaborates with scholars based in Denmark, Switzerland and Germany. Jakob Thrane's co-authors include Darko Zibar, Henrik Lehrmann Christiansen, Rasmus T. Jones, Molly Piels, Júlio C. M. Diniz, Sarah Ruepp, Martin Nordal Petersen, Christian Schaeffer, Lars C. Moeller and Lars Dittmann and has published in prestigious journals such as IEEE Access, Journal of Lightwave Technology and IEEE Internet of Things Journal.

In The Last Decade

Jakob Thrane

11 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakob Thrane Denmark 7 308 57 43 43 42 12 363
Nebojša Maletić Germany 9 249 0.8× 22 0.4× 9 0.2× 49 1.1× 128 3.0× 57 339
A. K. Chaturvedi India 11 293 1.0× 41 0.7× 11 0.3× 34 0.8× 172 4.1× 35 350
Mahmoud Elsanhoury Finland 5 174 0.6× 40 0.7× 12 0.3× 201 4.7× 52 1.2× 13 317
Soo Yong Lim Malaysia 10 223 0.7× 9 0.2× 41 1.0× 124 2.9× 32 0.8× 45 316
M. Lecours Canada 9 265 0.9× 30 0.5× 15 0.3× 94 2.2× 96 2.3× 33 333
R. Hoppe Germany 11 376 1.2× 15 0.3× 47 1.1× 133 3.1× 142 3.4× 26 420
Cezary Ziółkowski Poland 12 348 1.1× 17 0.3× 29 0.7× 238 5.5× 67 1.6× 73 424
Salomon Honkala Finland 7 136 0.4× 64 1.1× 8 0.2× 98 2.3× 117 2.8× 13 295

Countries citing papers authored by Jakob Thrane

Since Specialization
Citations

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

Fields of papers citing papers by Jakob Thrane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Thrane

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

All Works

12 of 12 papers shown
1.
Thrane, Jakob, et al.. (2020). Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios. IEEE Internet of Things Journal. 8(8). 6746–6756. 4 indexed citations
2.
Thrane, Jakob. (2020). Optimisation of future mobile communication systems using deep learning.
3.
Thrane, Jakob, Darko Zibar, & Henrik Lehrmann Christiansen. (2020). Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz. IEEE Access. 8. 7925–7936. 152 indexed citations
4.
Thrane, Jakob, Darko Zibar, & Henrik Lehrmann Christiansen. (2019). Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz. 1–5. 7 indexed citations
5.
Thrane, Jakob, et al.. (2019). Investigation of Deep Indoor NB-IoT Propagation Attenuation. 1–5. 11 indexed citations
6.
Thrane, Jakob, et al.. (2018). Demonstration of NB-IoT for Maritime Use Cases. 106–108. 8 indexed citations
7.
Ruepp, Sarah, et al.. (2018). Internet of Things Connectivity in Deep-Indoor Environments. 3. 96–100. 2 indexed citations
8.
Thrane, Jakob, et al.. (2018). Drive Test Minimization Using Deep Learning with Bayesian Approximation. 1–5. 18 indexed citations
9.
Thrane, Jakob, et al.. (2017). Gaussian Process Regression for WDM System Performance Prediction. Optical Fiber Communication Conference. Tu3D.7–Tu3D.7. 19 indexed citations
10.
Ruepp, Sarah, et al.. (2017). Combining hardware and simulation for datacenter scaling studies. 1–6. 2 indexed citations
11.
Zibar, Darko, et al.. (2016). Machine Learning Techniques Applied to System Characterization and Equalization. Optical Fiber Communication Conference. Tu3K.1–Tu3K.1. 5 indexed citations
12.
Thrane, Jakob, et al.. (2016). Machine Learning Techniques for Optical Performance Monitoring From Directly Detected PDM-QAM Signals. Journal of Lightwave Technology. 35(4). 868–875. 135 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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