Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Massive MIMO Detection Techniques: A Survey
2019311 citationsMahmoud A. Albreem, Markku Juntti et al.profile →
Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions
2020234 citationsHenk Wymeersch, Jiguang He et al.profile →
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
2021228 citationsJiguang He, Henk Wymeersch et al.profile →
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review
2024146 citationsJiguang He, Markku Juntti et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Markku Juntti'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 Markku Juntti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markku Juntti more than expected).
This network shows the impact of papers produced by Markku Juntti. 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 Markku Juntti. The network helps show where Markku Juntti may publish in the future.
Co-authorship network of co-authors of Markku Juntti
This figure shows the co-authorship network connecting the top 25 collaborators of Markku Juntti.
A scholar is included among the top collaborators of Markku Juntti 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 Markku Juntti. Markku Juntti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
He, Jiguang, et al.. (2021). Passive RIS vs. hybrid RIS:a comparative study on channel estimation. University of Oulu Repository (University of Oulu).54 indexed citations
5.
Shahabuddin, Shahriar, et al.. (2021). FPGA implementation of stair matrix based massive MIMO detection. University of Oulu Repository (University of Oulu).2 indexed citations
6.
Nguyen, Nhan T., et al.. (2021). Machine learning-based reconfigurable intelligent surface-aided MIMO systems. University of Oulu Repository (University of Oulu).18 indexed citations
7.
Nguyen, Nhan T., Quang‐Doanh Vu, Kyungchun Lee, & Markku Juntti. (2021). Spectral efficiency optimization for hybrid relay-reflecting intelligent surface. University of Oulu Repository (University of Oulu).21 indexed citations
8.
Leinonen, Markus, et al.. (2021). Exploiting spatial correlation for pilot reuse in single-cell mMTC. University of Oulu Repository (University of Oulu).4 indexed citations
9.
Djelouat, Hamza, et al.. (2021). Iterative reweighted algorithms for joint user identification and channel estimation in spatially correlated massive MTC. University of Oulu Repository (University of Oulu).7 indexed citations
10.
He, Jiguang, Henk Wymeersch, & Markku Juntti. (2021). Leveraging location information for RIS-aided mmWave MIMO communications. University of Oulu Repository (University of Oulu).23 indexed citations
11.
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
12.
Kokkoniemi, Joonas & Markku Juntti. (2021). Stochastic geometry based interference analysis of multiuser mmWave networks with RIS. University of Oulu Repository (University of Oulu).5 indexed citations
13.
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
Tervo, Oskari, et al.. (2018). Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison. University of Oulu Repository (University of Oulu).8 indexed citations
16.
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
17.
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
18.
Tervo, Oskari, Le‐Nam Tran, Symeon Chatzinotas, Markku Juntti, & Björn Ottersten. (2017). Energy-efficient joint unicast and multicast beamforming with multi-antenna user terminals. University of Oulu Repository (University of Oulu).16 indexed citations
19.
Vu, Quang‐Doanh, et al.. (2017). Globally optimal beamforming design for downlink CoMP transmission with limited backhaul capacity. University of Oulu Repository (University of Oulu).7 indexed citations
20.
Veeravalli, Venugopal V., et al.. (2017). DoF analysis in a two-layered heterogeneous wireless interference network. University of Oulu Repository (University of Oulu).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.