World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5271
World Ranking
12126
National Ranking
768

John J. Soraghan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where John J. Soraghan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 387 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

John J. Soraghan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where John J. Soraghan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

John J. Soraghan is affiliated with the University of Strathclyde in the United Kingdom. Their research primarily spans the fields of engineering and computer science, with a significant focus on aerospace engineering and computer vision and pattern recognition.

The scientist's work encompasses various subfields such as signal processing, biomedical engineering, and cognitive neuroscience. The main topics covered in their research include synthetic aperture radar (SAR) applications and techniques, advanced SAR imaging methods, and advanced neural network applications. Other areas of interest are video surveillance and tracking methods, radiomics and machine learning in medical imaging, neuroscience and neural engineering, as well as speech and audio processing.

John J. Soraghan has contributed to several recent publications, reflecting a diverse range of subjects within the mentioned fields. Notable papers include:

  • "A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition" (2020), published in Frontiers in Neuroscience
  • "Target Tracking Using a Mean-Shift Occlusion Aware Particle Filter" (2021), published in IEEE Sensors Journal
  • "Indoor Home Scene Recognition Using Capsule Neural Networks" (2020), published in Procedia Computer Science
  • "Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation" (2020), published in Frontiers in Neurorobotics
  • "SAR Coregistration by Robust Selection of Extended Targets and Iterative Outlier Cancellation" (2021), published in IEEE Geoscience and Remote Sensing Letters

The scientist has frequently published in venues such as IET Radar Sonar & Navigation, International Journal of Mechatronics and Automation, Frontiers in Neuroscience, IEEE Sensors Journal, and Procedia Computer Science.

Collaboration plays a significant role in their research, with frequent co-authors including Carmine Clemente, Gaetano Di Caterina, Lykourgos Petropoulakis, Luca Pallotta, and Gaetano Giunta. Soraghan's work is associated with a range of interdisciplinary teams, reflecting the complexity and diversity of their research interests.

Best Publications

  • Detection of PD utilizing digital signal processing methods. Part 3: Open-loop noise reduction

    I. Shim;J.J. Soraghan;W.H. Siew

  • EMD-Based Filtering (EMDF) of Low-Frequency Noise for Speech Enhancement

    N. Chatlani;J. J. Soraghan

  • Electrocardiogram (ECG) Biometric Authentication Using Pulse Active Ratio (PAR)

    S. I. Safie;J. J. Soraghan;L. Petropoulakis

  • Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar

    Carmine Clemente;Alessio Balleri;Karl Woodbridge;John J Soraghan

  • Automatic Target Recognition of Military Vehicles With Krawtchouk Moments

    Carmine Clemente;Luca Pallotta;Domenico Gaglione;Antonio De Maio

  • A novel algorithm for radar classification based on doppler characteristics exploiting orthogonal Pseudo-Zernike polynomials

    Carmine Clemente;Luca Pallotta;Antonio De Maio;John J. Soraghan

  • Small-target detection in sea clutter

    S. Panagopoulos;J.J. Soraghan

  • Robust PCA micro-doppler classification using SVM on embedded systems

    Jaime Zabalza;Carmine Clemente;Gaetano Di Caterina;Jinchang Ren

  • Quantitative Analysis of Facial Paralysis Using Local Binary Patterns in Biomedical Videos

    Shu He;J.J. Soraghan;B.F. O'Reilly;Dongshan Xing

  • Local binary patterns for 1-D signal processing

    Navin Chatlani;John J. Soraghan

  • Digital signal processing applied to the detection of partial discharge: an overview

    I. Shim;J.J. Soraghan;W.H. Siew

  • Study on Interaction Between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses

    Radhika Menon;Gaetano Di Caterina;Heba Lakany;Lykourgos Petropoulakis

  • Micro-doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems

    Sevgi Zubeyde Gurbuz;Carmine Clemente;Alessio Balleri;John J. Soraghan

  • Identification of Contaminant Type in Surface Electromyography (EMG) Signals

    Paul McCool;Graham D. Fraser;Adrian D. C. Chan;Lykourgos Petropoulakis

  • On Model, Algorithms, and Experiment for Micro-Doppler-Based Recognition of Ballistic Targets

    Adriano Rosario Persico;Carmine Clemente;Domenico Gaglione;Christos V. Ilioudis

  • Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos

    Yijun Yan;Jinchang Ren;Huimin Zhao;Genyun Sun

  • A new spiking convolutional recurrent neural network (SCRNN) with applications to event-based hand gesture recognition

    Yannan Xing;Gaetano Di Caterina;John Soraghan

  • Automatic fault location for underground low voltage distribution networks

    S. Navaneethan;J.J. Soraghan;W.H. Siew;F. McPherson

  • A new adaptive functional-link neural-network-based DFE for overcoming co-channel interference

    A. Hussain;J.J. Soraghan;T.S. Durrani

  • Use of Fresnelets for Phase-Shifting Digital Hologram Compression

    E. Darakis;J.J. Soraghan

  • Compression of interference patterns with application to phase-shifting digital holography

    Emmanouil Darakis;John J Soraghan

Frequent Co-Authors

Antonio De Maio
Antonio De Maio University of Naples Federico II
Colin Berry
Colin Berry University of Glasgow
Stephan Weiss
Stephan Weiss University of Strathclyde
Amir Hussain
Amir Hussain Edinburgh Napier University
Jinchang Ren
Jinchang Ren Robert Gordon University
Woon-Seng Gan
Woon-Seng Gan Nanyang Technological University
Thomas J. Naughton
Thomas J. Naughton National University of Ireland, Maynooth
Stephen Marshall
Stephen Marshall University of Strathclyde
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Colin R. McInnes
Colin R. McInnes University of Glasgow

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