World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5624
World Ranking
8943
National Ranking
2493

Overview

Nicolai Czink is affiliated with Stanford University in the United States. The available data does not include specific details about their recent papers, co-authors, or frequent publication venues.

There is no information on the main fields of study, subfields, or main topics of their research work. Additionally, no book publications or awards have been recorded for this scientist.

The lack of detailed publication records or defined research areas suggests that either the information is limited or Nicolai Czink may be an emerging researcher or involved in relatively recent or less documented research activities.

Best Publications

  • Survey of channel and radio propagation models for wireless MIMO systems

    P. Almers;E. Bonek;A. Burr;N. Czink

  • Vehicular Channel Characterization and Its Implications for Wireless System Design and Performance

    C F Mecklenbrauker;A F Molisch;J Karedal;F Tufvesson

  • A geometry-based stochastic MIMO model for vehicle-to-vehicle communications

    J. Karedal;F. Tufvesson;N. Czink;A. Paier

  • Path Loss Modeling for Vehicle-to-Vehicle Communications

    J Karedal;N Czink;A Paier;F Tufvesson

  • A Framework for Automatic Clustering of Parametric MIMO Channel Data Including Path Powers

    N. Czink;P. Cera;J. Salo;E. Bonek

  • Correlation matrix distance, a meaningful measure for evaluation of non-stationary MIMO channels

    M. Herdin;N. Czink;H. Ozcelik;E. Bonek

  • Cluster Characteristics in a MIMO Indoor Propagation Environment

    N. Czink;X. Yin;H. Ozcelik;M. Herdin

  • Car-to-car radio channel measurements at 5 GHz: Pathloss, power-delay profile, and delay-Doppler spectrum

    A. Paier;J. Karedal;N. Czink;H. Hofstetter

  • Characterization of Vehicle-to-Vehicle Radio Channels from Measurements at 5.2 GHz

    Alexander Paier;Johan Karedal;Nicolai Czink;Charlotte Dumard

  • Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2GHz using the local scattering function

    Alexander Paier;Thomas Zemen;Laura Bernado;Gerald Matz

  • What makes a good MIMO channel model

    M. Ozcelik;N. Czink;E. Bonek

  • Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2 GHz using the local scattering function

    Alexander Paier;Thomas Zemen;Laura Bernado;Gerald Matz

  • Experimental Characterization and Modeling of Outdoor-to-Indoor and Indoor-to-Indoor Distributed Channels

    Claude Oestges;Nicolai Czink;Bernd Bandemer;Paolo Castiglione

  • Improving clustering performance using multipath component distance

    N. Czink;P. Cera;J. Salo;E. Bonek

  • Iterative Time-Variant Channel Estimation for 802.11p Using Generalized Discrete Prolate Spheroidal Sequences

    T. Zemen;L. Bernado;N. Czink;A. F. Molisch

  • First Results from Car-to-Car and Car-to-Infrastructure Radio Channel Measurements at 5.2GHZ

    A. Paier;J. Karedal;N. Czink;H. Hofstetter

  • A twin-cluster MIMO channel model

    Helmut Hofstetter;Andreas F. Molisch;Nicolai Czink

  • Average Downstream Performance of Measured IEEE 802.11p Infrastructure-to-Vehicle Links

    A. Paier;R. Tresch;A. Alonso;D. Smely

  • The Random-Cluster Model : a stochastic MIMO channel model for broadband wireless communication systems of the 3rd generation and beyond

    Nicolai Czink

  • Tracking Time-Variant Cluster Parameters in MIMO Channel Measurements

    N. Czink;Ruiyuan Tian;S. Wyne;F. Tufvesson

Frequent Co-Authors

Thomas Zemen
Thomas Zemen Austrian Institute of Technology
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Fredrik Tufvesson
Fredrik Tufvesson Lund University
Claude Oestges
Claude Oestges Université Catholique de Louvain
Arogyaswami Paulraj
Arogyaswami Paulraj Stanford University
Bernard Henri Fleury
Bernard Henri Fleury Aalborg University
Katsuyuki Haneda
Katsuyuki Haneda Aalto University

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Best Scientists Citing Nicolai Czink