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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
28412
World Ranking
1132
National Ranking
62

Electronics and Electrical Engineering

D-Index
77
Citations
26666
World Ranking
603
National Ranking
28

Danilo P. Mandic publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Danilo P. Mandic sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 646 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Danilo P. Mandic D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Danilo P. Mandic sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2013 - IEEE Fellow For contributions to multivariate and nonlinear learning systems

Overview

Danilo P. Mandic is affiliated with Imperial College London in the United Kingdom. Their research spans multiple areas within computer science, particularly focusing on artificial intelligence and signal processing. Their work extends into cardiology and cardiovascular medicine, cognitive neuroscience, and biomedical engineering.

The scientist's publication record includes significant contributions to several main topics, such as tensor decomposition and its applications, EEG and brain-computer interfaces, advanced graph neural networks, ECG monitoring and analysis, blind source separation techniques, speech and audio processing, and non-invasive vital sign monitoring.

Notable recent papers by Danilo P. Mandic include:

  • "Convergence of the RMSProp deep learning method with penalty for nonconvex optimization" (2021), Neural Networks
  • "The 2023 wearable photoplethysmography roadmap" (2023), Physiological Measurement
  • "In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation" (2020), Sensors
  • "AudioLDM: Text-to-Audio Generation with Latent Diffusion Models" (2023), arXiv (Cornell University)
  • "Exploring Convolutional Neural Network Architectures for EEG Feature Extraction" (2024), Sensors

Frequent collaborators include Harry J. Davies, Ljubiša Stanković, Fu Siong Ng, Arunashis Sau, and Yao Xu, each contributing to multiple joint publications with Mandic.

Mandic's work is published in a variety of venues, with a notable number of papers appearing in:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • Signal Processing
  • Neural Networks
  • Sensors

Danilo P. Mandic has been recognized as an IEEE Fellow since 2013 for their contributions to multivariate and nonlinear learning systems.

Best Publications

  • Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

    Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou

  • Multivariate empirical mode decomposition

    N. Rehman;D. P. Mandic

  • Recurrent Neural Networks for Prediction

    Danilo P. Mandic;Jonathon A. Chambers

  • Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability

    Danilo P. Mandic;Jonathon Chambers

  • Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

    Danilo Mandic;Vanessa Su Lee Goh

  • Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

    A. Cichocki;D. Mandic;A-H. Phan;C. Caiafa

  • Complex Valued Nonlinear Adaptive Filters

    Danilo P. Mandic;Vanessa Su Lee Goh

  • Filter Bank Property of Multivariate Empirical Mode Decomposition

    Naveed ur Rehman;D P Mandic

  • Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis

    Danilo P. Mandic;Naveed Ur Rehman;Zhaohua Wu;Norden E. Huang

  • Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.

    Andrzej Cichocki;Namgil Lee;Ivan V. Oseledets;Anh Huy Phan

  • Multivariate multiscale entropy: a tool for complexity analysis of multichannel data.

    Mosabber Uddin Ahmed;Danilo P. Mandic

  • Complex Empirical Mode Decomposition

    T. Tanaka;D.P. Mandic

  • The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes

    C.C. Took;D.P. Mandic

  • Biometrics from Brain Electrical Activity: A Machine Learning Approach

    R. Palaniappan;D.P. Mandic

  • A generalized normalized gradient descent algorithm

    D.P. Mandic

  • Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

    Andrzej Cichocki;Namgil Lee;Ivan Oseledets;Anh-Huy Phan

  • The In-the-Ear Recording Concept: User-Centered and Wearable Brain Monitoring

    D. Looney;P. Kidmose;Cheolsoo Park;M. Ungstrup

  • Augmented second-order statistics of quaternion random signals

    Clive Cheong Took;Danilo P. Mandic

  • Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition

    Cheolsoo Park;D. Looney;Naveed ur Rehman;A. Ahrabian

  • Empirical Mode Decomposition for Trivariate Signals

    N. ur Rehman;D.P. Mandic

  • Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

    A. Cichocki;A-H. Phan;Q. Zhao;N. Lee

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Scott C. Douglas
Scott C. Douglas Southern Methodist University
Ljubisa Stankovic
Ljubisa Stankovic University of Montenegro
Jonathon A. Chambers
Jonathon A. Chambers Harbin Engineering University
Luxi Yang
Luxi Yang Southeast University
Kazuyuki Aihara
Kazuyuki Aihara University of Tokyo
Ervin Sejdic
Ervin Sejdic University of Pittsburgh
Yongming Huang
Yongming Huang Southeast University

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