Janne Lehtomäki

3.9k total citations
167 papers, 2.8k citations indexed

About

Janne Lehtomäki is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Janne Lehtomäki has authored 167 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Electrical and Electronic Engineering, 101 papers in Computer Networks and Communications and 32 papers in Signal Processing. Recurrent topics in Janne Lehtomäki's work include Cognitive Radio Networks and Spectrum Sensing (76 papers), Distributed Sensor Networks and Detection Algorithms (38 papers) and Power Line Communications and Noise (36 papers). Janne Lehtomäki is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (76 papers), Distributed Sensor Networks and Detection Algorithms (38 papers) and Power Line Communications and Noise (36 papers). Janne Lehtomäki collaborates with scholars based in Finland, Japan and United Kingdom. Janne Lehtomäki's co-authors include Markku Juntti, Joonas Kokkoniemi, Kenta Umebayashi, Johanna Vartiainen, Harri Saarnisaari, Zaheer Khan, Sami Hakola, Timo Koskela, Matti Latva‐aho and Miguel López‐Benítez and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Janne Lehtomäki

161 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janne Lehtomäki Finland 31 2.0k 1.5k 523 342 266 167 2.8k
Friedrich K. Jondral Germany 29 3.1k 1.5× 2.9k 1.9× 748 1.4× 442 1.3× 165 0.6× 213 4.2k
Carlos Cordeiro United States 27 2.8k 1.4× 3.2k 2.2× 463 0.9× 191 0.6× 146 0.5× 78 4.3k
E. Del Re Italy 22 1.3k 0.6× 1.3k 0.9× 625 1.2× 235 0.7× 77 0.3× 199 1.9k
Shridhar Mubaraq Mishra United States 16 2.8k 1.4× 4.1k 2.8× 324 0.6× 487 1.4× 68 0.3× 27 4.4k
Laurie Cuthbert United Kingdom 22 1.1k 0.5× 1.1k 0.7× 369 0.7× 128 0.4× 102 0.4× 181 1.8k
Shidong Zhou China 28 3.4k 1.6× 2.0k 1.4× 703 1.3× 132 0.4× 89 0.3× 284 3.7k
Tharmalingam Ratnarajah United Kingdom 37 4.4k 2.2× 2.6k 1.7× 1.4k 2.7× 302 0.9× 147 0.6× 363 5.4k
Marian Codreanu Finland 24 1.8k 0.9× 2.1k 1.5× 178 0.3× 88 0.3× 119 0.4× 131 2.7k
Rahul Tandra United States 15 1.4k 0.7× 2.4k 1.6× 272 0.5× 472 1.4× 45 0.2× 26 2.6k
J.C.-I. Chuang United States 23 2.4k 1.2× 1.8k 1.2× 286 0.5× 176 0.5× 229 0.9× 147 2.9k

Countries citing papers authored by Janne Lehtomäki

Since Specialization
Citations

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

Fields of papers citing papers by Janne Lehtomäki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janne Lehtomäki

This figure shows the co-authorship network connecting the top 25 collaborators of Janne Lehtomäki. A scholar is included among the top collaborators of Janne Lehtomäki 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 Janne Lehtomäki. Janne Lehtomäki 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.
Patel, Dhaval K., et al.. (2024). Influence of Red Blood Cells on Channel Characterization in Cylindrical Vasculature. IEEE Transactions on NanoBioscience. 24(1). 113–119.
2.
Lehtomäki, Janne, et al.. (2024). Robust EV Scheduling in Charging Stations Under Uncertain Demands and Deadlines. IEEE Transactions on Intelligent Transportation Systems. 25(12). 21484–21499. 7 indexed citations
3.
Lehtomäki, Janne, et al.. (2023). Evaluation of Prophet for Wireless Time Series Forecasting. 4329008. 1–4. 1 indexed citations
4.
Upadhyay, Prabhat K., et al.. (2022). Outage Performance with Deep Learning Analysis for UAV-Borne IRS Relaying NOMA Systems with Hardware Impairments. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 1–7. 4 indexed citations
5.
Lehtomäki, Janne, et al.. (2022). Proactive Radar Protection System in Shared Spectrum via Forecasting Secondary User Power Levels. IEEE Access. 10. 40367–40380. 2 indexed citations
6.
Kokkoniemi, Joonas, Janne Lehtomäki, & Markku Juntti. (2021). A line-of-sight channel model for the 100–450 gigahertz frequency band. University of Oulu Repository (University of Oulu). 55 indexed citations
7.
Iwata, Hiroki, et al.. (2021). High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements. IEEE Access. 9. 149883–149893. 3 indexed citations
8.
Khan, Zaheer, et al.. (2020). Eliciting Truthful Data From Crowdsourced Wireless Monitoring Modules in Cloud Managed Networks. IEEE Access. 8. 173641–173653. 1 indexed citations
9.
Kokkoniemi, Joonas, et al.. (2020). Impact of beam misalignment on THz wireless systems. Nano Communication Networks. 24. 100302–100302. 44 indexed citations
10.
Petrov, Vitaly, Gábor Fodor, Joonas Kokkoniemi, et al.. (2019). On unified vehicular communications and radar sensing in millimeter-wave and low terahertz bands. University of Oulu Repository (University of Oulu). 81 indexed citations
11.
Boulogeorgos, Alexandros–Apostolos A., Angeliki Alexiou, Thomas Merkle, et al.. (2018). Terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5G. University of Oulu Repository (University of Oulu). 161 indexed citations
12.
Petrov, Vitaly, Joonas Kokkoniemi, Dmitri Moltchanov, et al.. (2018). Last meter indoor terahertz wireless access:performance insights and implementation roadmap. University of Oulu Repository (University of Oulu). 60 indexed citations
13.
Kyösti, Pekka, Lassi Hentilä, Wei Fan, Janne Lehtomäki, & Matti Latva‐aho. (2018). On Radiated Performance Evaluation of Massive MIMO Devices in Multiprobe Anechoic Chamber OTA Setups. IEEE Transactions on Antennas and Propagation. 66(10). 5485–5497. 61 indexed citations
14.
Umebayashi, Kenta, et al.. (2017). A Causal Channel Model for the Terahertz Band. IEEE Transactions on Terahertz Science and Technology. 8(1). 52–62. 26 indexed citations
15.
Kokkoniemi, Joonas, Janne Lehtomäki, & Markku Juntti. (2016). Measurements on penetration loss in terahertz band. 1–5. 16 indexed citations
16.
Umebayashi, Kenta, et al.. (2016). A study on FFT-ED based signal area estimation for spectrum awareness. IEICE Technical Report; IEICE Tech. Rep.. 116(29). 27–34. 1 indexed citations
17.
Lehtomäki, Janne, et al.. (2014). 周波数利用認識システムの開発 : Welch-FFTに基づいたDC推定技術. IEICE technical report. Speech. 114(284). 171–177. 1 indexed citations
18.
Umebayashi, Kenta, et al.. (2011). Cyclostationary spectrum sensing under four-level hypothesis for spectrum sharing. 2338–2343. 2 indexed citations
19.
Lehtomäki, Janne, et al.. (2009). Analysis of cognitive radio networks with imperfect sensing. i. 1616–1620. 20 indexed citations
20.
Lehtomäki, Janne, Johanna Vartiainen, & Harri Saarnisaari. (2004). Domain selective interference excision and energy detection of direct sequence signals. 216–219. 4 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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