Lucie Klus

645 total citations
14 papers, 101 citations indexed

About

Lucie Klus is a scholar working on Electrical and Electronic Engineering, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lucie Klus has authored 14 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lucie Klus's work include Indoor and Outdoor Localization Technologies (7 papers), Speech and Audio Processing (3 papers) and Advanced MIMO Systems Optimization (3 papers). Lucie Klus is often cited by papers focused on Indoor and Outdoor Localization Technologies (7 papers), Speech and Audio Processing (3 papers) and Advanced MIMO Systems Optimization (3 papers). Lucie Klus collaborates with scholars based in Finland, Spain and Portugal. Lucie Klus's co-authors include Mikko Valkama, Jukka Talvitie, Elena Simona Lohan, Jari Nurmi, Joaquín Torres-Sospedra, Carlos Granell, Dmitrii Solomitckii, Darwin Quezada-Gaibor, Joaquı́n Huerta and Sven Casteleyn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Mobile Computing.

In The Last Decade

Lucie Klus

14 papers receiving 100 citations

Peers

Lucie Klus

EEE

CNC

Darwin Quezada-Gaibor Spain

Laura Flueratoru Romania

Jari Hulkkonen Finland

H. Park South Korea

Xin Xiong China

Нішант Гаур India

Berk Gülmezoğlu United States

Huaan Li China

André-Luc Beylot France

Ankur Vora United States

Darwin Quezada-Gaibor Spain

Lucie Klus

113 ×1.5

EEE

38 ×1.2

CNC

40 ×1.5

38 ×1.9

31 ×2.2

Citations per year, relative to Lucie Klus Lucie Klus (= 1×) peers Darwin Quezada-Gaibor

Countries citing papers authored by Lucie Klus

Since Specialization

Citations

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

Fields of papers citing papers by Lucie Klus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucie Klus

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

All Works

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14 of 14 papers shown

Talvitie, Jukka, et al.. (2025). Deep Learning Based Near-Field Positioning in True-Time-Delay Array Systems. Trepo - Institutional Repository of Tampere University. 1–5. 1 indexed citations

Klus, Lucie, Elena Simona Lohan, Jari Nurmi, et al.. (2024). TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density. Data in Brief. 54. 110356–110356. 5 indexed citations

Klus, Lucie, Elena Simona Lohan, & Mikko Valkama. (2024). Employing Signal Statistics for Universal Fingerprinting Solution. Trepo - Institutional Repository of Tampere University. 1–7. 1 indexed citations

Quezada-Gaibor, Darwin, Lucie Klus, Elena Simona Lohan, et al.. (2023). Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive. SHILAP Revista de lepidopterología. 1. 53–68. 6 indexed citations

Klus, Lucie, et al.. (2023). EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets. IEEE Transactions on Mobile Computing. 23(5). 3589–3604. 1 indexed citations

Quezada-Gaibor, Darwin, Lucie Klus, Joaquín Torres-Sospedra, et al.. (2022). Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets. Zenodo (CERN European Organization for Nuclear Research). 349–354. 7 indexed citations

Klus, Lucie, Elena Simona Lohan, Carlos Granell, et al.. (2021). Direct Lightweight Temporal Compression for Wearable Sensor Data. IEEE Sensors Letters. 5(2). 1–4. 13 indexed citations

Klus, Lucie, et al.. (2021). Transfer Learning for Convolutional Indoor Positioning Systems. Zenodo (CERN European Organization for Nuclear Research). 1–8. 17 indexed citations

Klus, Lucie, et al.. (2020). Deep Learning-Based Cell-Level and Beam-Level Mobility Management System. Sensors. 20(24). 7124–7124. 5 indexed citations

10.

Klus, Lucie, et al.. (2020). Deep Learning Based Localization and HO Optimization in 5G NR Networks. Trepo - Institutional Repository of Tampere University. 1–6. 20 indexed citations

11.

Quezada-Gaibor, Darwin, Lucie Klus, Joaquín Torres-Sospedra, et al.. (2020). Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices. Repositori UJI (Universitat Jaume I). 208–213. 4 indexed citations

12.

Klus, Lucie, Elena Simona Lohan, Carlos Granell, & Jari Nurmi. (2020). Lossy Compression Methods for Performance-Restricted Wearable Devices. Repositori UJI (Universitat Jaume I). 4 indexed citations

13.

Klus, Lucie, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, et al.. (2020). RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering. Trepo - Institutional Repository of Tampere University. 2018. 195–200. 16 indexed citations

14.

Klus, Lucie, et al.. (2019). Crowdsourcing Solutions for Data Gathering from Wearables. Trepo - Institutional Repository of Tampere University. 1 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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