World's Best Scientists 2026 revealed!
Silvia Conforto

Silvia Conforto

D-Index & Metrics

Computer Science

D-Index
31
Citations
3155
World Ranking
13770
National Ranking
502

Silvia Conforto 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 Silvia Conforto 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: 228 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Silvia Conforto 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 Silvia Conforto 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Silvia Conforto is affiliated with Roma Tre University in Italy. Their research spans multiple fields, primarily focusing on Engineering and Medicine, with a significant emphasis on Biomedical Engineering. The scientist's work also connects to Social Psychology, Radiology, Nuclear Medicine and Imaging, Pharmacology, and Cardiology and Cardiovascular Medicine.

The main research topics addressed by Conforto include:

  • Muscle activation and electromyography studies
  • Musculoskeletal pain and rehabilitation
  • Ergonomics and Musculoskeletal Disorders
  • Prosthetics and Rehabilitation Robotics
  • Balance, Gait, and Falls Prevention
  • Ultrasound Imaging and Elastography
  • Cardiovascular Health and Disease Prevention

The scientist frequently publishes in several academic venues, with notable recurring contributions to:

  • Sensors
  • Gait & Posture
  • ACTA IMEKO
  • 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
  • Applied Sciences

Some of the recent papers include:

  • "Non-Invasive Methods for PWV Measurement in Blood Vessel Stiffness Assessment," published in 2021 in IEEE Reviews in Biomedical Engineering
  • "Lifting Activity Assessment Using Kinematic Features and Neural Networks," published in 2020 in Applied Sciences
  • "Global Muscle Coactivation of the Sound Limb in Gait of People with Transfemoral and Transtibial Amputation," published in 2020 in Sensors
  • "Trunk Muscle Coactivation in People with and without Low Back Pain during Fatiguing Frequency-Dependent Lifting Activities," published in 2022 in Sensors
  • "Linking head and neck posture with muscular activity and perceived discomfort during prolonged smartphone texting," published in 2021 in International Journal of Industrial Ergonomics

Conforto has collaborated extensively with several co-authors, including:

  • Maurizio Schmid
  • Simone Ranaldi
  • Tiwana Varrecchia
  • Francesco Draicchio
  • Alberto Ranavolo

Their research demonstrates interdisciplinary connections between biomedical engineering techniques and clinical applications, particularly in the domains of muscle function, ergonomics, and cardiovascular health. This integration is evident in studies combining electromyography, kinematics, and ultrasound imaging to address musculoskeletal disorders and rehabilitation challenges.

Best Publications

  • Nanogenerators for Human Body Energy Harvesting

    Antonino Proto;Antonino Proto;Marek Penhaker;Silvia Conforto;Maurizio Schmid

  • Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure

    Silvia Conforto;Tommaso D'Alessio;Stefano Pignatelli

  • Proficient brain for optimal performance: the MAP model perspective.

    Maurizio Bertollo;Selenia di Fronso;Edson Filho;Silvia Conforto

  • Automatic detection of surface EMG activation timing using a wavelet transform based method

    Giuseppe Vannozzi;Silvia Conforto;Tommaso D’Alessio

  • Classification of Motor Activities through Derivative Dynamic Time Warping applied on Accelerometer Data

    R. Muscillo;S. Conforto;M. Schmid;P. Caselli

  • Varying behavior of different window sizes on the classification of static and dynamic physical activities from a single accelerometer.

    Benish Fida;Ivan Bernabucci;Daniele Bibbo;Silvia Conforto

  • Respiration and postural sway: detection of phase synchronizations and interactions.

    Maurizio Schmid;Silvia Conforto;Daniele Bibbo;Tommaso D’Alessio

  • A neural-based remote eye gaze tracker under natural head motion

    Diego Torricelli;Silvia Conforto;Maurizio Schmid;Tommaso D'Alessio

  • Extraction of the envelope from surface EMG signals

    T. D'Alessio;S. Conforto

  • Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms.

    Saba Adabi;Matin Hosseinzadeh;Shahryar Noei;Silvia Conforto

  • Markerless Human Motion Analysis in Gauss–Laguerre Transform Domain: An Application to Sit-To-Stand in Young and Elderly People

    M. Goffredo;M. Schmid;S. Conforto;M. Carli

  • A free geometry model-independent neural eye-gaze tracking system

    Massimo Gneo;Maurizio Schmid;Silvia Conforto;Tommaso D’Alessio

  • Feedback of mechanical effectiveness induces adaptations in motor modules during cycling

    Cristiano De Marchis;Maurizio Schmid;Daniele Bibbo;Anna Margherita Castronovo

  • Measurements of Generated Energy/Electrical Quantities from Locomotion Activities Using Piezoelectric Wearable Sensors for Body Motion Energy Harvesting

    Antonino Proto;Marek Penhaker;Daniele Bibbo;David Vala

  • Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

    Saba Adabi;Matin Hosseinzadeh;Shahryar Noei;Steven Daveluy

  • Learnable despeckling framework for optical coherence tomography images.

    Saba Adabi;Elaheh Rashedi;Anne Clayton;Hamed Mohebbi-Kalkhoran

  • An adaptive Kalman-based Bayes estimation technique to classify locomotor activities in young and elderly adults through accelerometers

    Rossana Muscillo;Maurizio Schmid;Silvia Conforto;Tommaso D'Alessio

  • Early recognition of upper limb motor tasks through accelerometers: real-time implementation of a DTW-based algorithm

    Rossana Muscillo;Maurizio Schmid;Silvia Conforto;Tommaso D'Alessio

  • Novel formulation of a double threshold algorithm for the estimation of muscle activation intervals designed for variable SNR environments

    Giacomo Severini;Silvia Conforto;Maurizio Schmid;Tommaso D'Alessio

  • Lifting activity assessment using surface electromyographic features and neural networks

    Tiwana Varrecchia;Cristiano De Marchis;Martina Rinaldi;Francesco Draicchio

  • Assessing cortical synchronization during transcranial direct current stimulation: A graph-theoretical analysis.

    Matteo Mancini;Debora Brignani;Silvia Conforto;Piercarlo Mauri

  • Thermal Energy Harvesting on the Bodily Surfaces of Arms and Legs through a Wearable Thermo-Electric Generator.

    Antonino Proto;Daniele Bibbo;Martin Cerny;David Vala

  • An adaptive blink detector to initialize and update a view-basedremote eye gaze tracking system in a natural scenario

    Diego Torricelli;Michela Goffredo;Silvia Conforto;Maurizio Schmid

Frequent Co-Authors

Mariano Serrao
Mariano Serrao Sapienza University of Rome
Maurizio Bertollo
Maurizio Bertollo University of Chieti-Pescara
Filiberto Bilotti
Filiberto Bilotti Roma Tre University
Aurelio Cappozzo
Aurelio Cappozzo Foro Italico University of Rome
Lucio Vegni
Lucio Vegni Roma Tre University
Marco Bozzali
Marco Bozzali Brighton and Sussex Medical School
Dario Farina
Dario Farina Imperial College London
Francesco Negro
Francesco Negro University of Brescia
Mara Cercignani
Mara Cercignani Cardiff University
Mario Manto
Mario Manto University of Mons

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