World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6166
World Ranking
10231
National Ranking
86

Overview

Tapani Ristaniemi is affiliated with the University of Jyväskylä in Finland and conducts research primarily in the fields of neuroscience and computer science. Their work intersects key areas such as cognitive neuroscience, artificial intelligence, and computer networks and communications.

The research topics covered in their publications include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Heart Rate Variability and Autonomic Control
  • Neuroscience and Music Perception
  • Distributed Sensor Networks and Detection Algorithms
  • Target Tracking and Data Fusion in Sensor Networks

Tapani Ristaniemi has contributed to the following recent papers:

  • Functional connectivity of major depression disorder using ongoing EEG during music perception, 2020, Clinical Neurophysiology
  • Incentive Mechanism for Edge-Computing-Based Blockchain, 2020, IEEE Transactions on Industrial Informatics
  • Automatic sleep scoring: A deep learning architecture for multi-modality time series, 2020, Journal of Neuroscience Methods
  • Discovering dynamic task-modulated functional networks with specific spectral modes using MEG, 2020, NeuroImage
  • Optimal imaging of multi-channel EEG features based on a novel clustering technique for driver fatigue detection, 2020, Biomedical Signal Processing and Control

The scientist frequently publishes in venues such as:

  • Brain Topography
  • International Journal of Neural Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Clinical Neurophysiology

Frequent co-authors of Tapani Ristaniemi include:

  • Fengyu Cong
  • Chi Zhang
  • Yongjie Zhu
  • Klaus Mathiak
  • Tiina Parviainen

Best Publications

  • Multiobjective Optimization for Computation Offloading in Fog Computing

    Liqing Liu;Zheng Chang;Xijuan Guo;Shiwen Mao

  • Tensor decomposition of EEG signals: A brief review

    Fengyu Cong;Fengyu Cong;Qiu-Hua Lin;Li-Dan Kuang;Xiao-Feng Gong

  • Dynamic packet scheduling performance in UTRA Long Term Evolution downlink

    P. Kela;J. Puttonen;N. Kolehmainen;T. Ristaniemi

  • Distributed road surface condition monitoring using mobile phones

    Mikko Perttunen;Oleksiy Mazhelis;Fengyu Cong;Mikko Kauppila

  • Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era

    Zheng Chang;Lei Lei;Zhenyu Zhou;Shiwen Mao

  • Energy Efficient Optimization for Computation Offloading in Fog Computing System

    Zheng Chang;Zhenyu Zhou;Tapani Ristaniemi;Zhisheng Niu

  • Advanced ICA-based receivers for block fading DS-CDMA channels

    Tapani Ristaniemi;Jyrki Joutsensalo

  • From Vivaldi to Beatles and back: Predicting lateralized brain responses to music

    Vinoo Alluri;Petri Toiviainen;Torben Ellegaard Lund;Mikkel Wallentin

  • Channel Quality Indication Reporting Schemes for UTRAN Long Term Evolution Downlink

    N. Kolehmainen;J. Puttonen;P. Kela;T. Ristaniemi

  • Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks

    Wali Ullah Khan;Furqan Jameel;Tapani Ristaniemi;Shafiullah Khan

  • Energy-Efficient Resource Allocation for Wireless Powered Massive MIMO System With Imperfect CSI

    Zheng Chang;Zhongyu Wang;Xijuan Guo;Zhu Han

  • MULTI-DOMAIN FEATURE EXTRACTION FOR SMALL EVENT-RELATED POTENTIALS THROUGH NONNEGATIVE MULTI-WAY ARRAY DECOMPOSITION FROM LOW DENSE ARRAY EEG

    Fengyu Cong;Anh Huy Phan;Piia Astikainen;Qibin Zhao

  • Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features

    Fengyu Cong;Vinoo Alluri;Asoke K. Nandi;Petri Toiviainen

  • Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array.

    Fengyu Cong;Anh Huy Phan;Qibin Zhao;Tiina Huttunen-Scott

  • Applications of Backscatter Communications for Healthcare Networks

    Furqan Jameel;Ruifeng Duan;Zheng Chang;Aleksi Liljemark

  • Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds

    Zheng Chang;Jie Gong;Yingyu Li;Zhenyu Zhou

  • The reliability of continuous brain responses during naturalistic listening to music.

    Iballa Burunat;Petri Toiviainen;Vinoo Alluri;Brigitte Bogert

  • Advanced ICA-based receivers for DS-CDMA systems

    T. Ristaniemi;J. Joutsensalo

  • Detection of Sleeping Cells in LTE Networks Using Diffusion Maps

    Fedor Chernogorov;Jussi Turkka;Tapani Ristaniemi;Amir Averbuch

  • Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges

    Furqan Jameel;Zheng Chang;Jun Huang;Tapani Ristaniemi

  • Incentive Mechanism for Edge-Computing-Based Blockchain

    Zheng Chang;Wenlong Guo;Xijuan Guo;Zhenyu Zhou

  • Learning algorithms for blind multiuser detection in CDMA downlink

    J. Joutsensalo;T. Ristaniemi

  • Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading

    Furqan Jameel;Tapani Ristaniemi;Imran Khan;Byung Moo Lee

Frequent Co-Authors

Heikki Lyytinen
Heikki Lyytinen University of Jyväskylä
Petri Toiviainen
Petri Toiviainen University of Jyväskylä
Asoke K. Nandi
Asoke K. Nandi Brunel University London
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Zhu Han
Zhu Han University of Houston
Zhenyu Zhou
Zhenyu Zhou North China Electric Power University
Elvira Brattico
Elvira Brattico University of Helsinki
Zhisheng Niu
Zhisheng Niu Tsinghua University
Juha Karhunen
Juha Karhunen Aalto University

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