World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
3857
World Ranking
6593
National Ranking
304

Ada Fort 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 Ada Fort 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: 445 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: 316 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Ada Fort 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 Ada Fort sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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: 31 D-Index — 6th percentile

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

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

Overview

Ada Fort is a researcher affiliated with the University of Siena in Italy, with a primary focus on engineering disciplines. Their work integrates various subfields including Electrical and Electronic Engineering, Biomedical Engineering, Bioengineering, Atomic and Molecular Physics and Optics, as well as Mechanical Engineering.

The scientist's publications span a range of specialized topics, notably:

  • Gas Sensing Nanomaterials and Sensors
  • Acoustic Wave Resonator Technologies
  • Advanced Chemical Sensor Technologies
  • IoT Networks and Protocols
  • Analytical Chemistry and Sensors
  • Mechanical and Optical Resonators
  • Energy Harvesting in Wireless Networks

Ada Fort has contributed to multiple papers over recent years, including these notable examples:

  • "An Adaptive Measurement System for the Simultaneous Evaluation of Frequency Shift and Series Resistance of QCM in Liquid," 2021, published in Sensors
  • "Battery-Less HF RFID Sensor Tag for Soil Moisture Measurements," 2020, published in IEEE Transactions on Instrumentation and Measurement
  • "RH Sensing by Means of TiO₂ Nanoparticles: A Comparison among Different Sensing Techniques Based on Modeling and Chemical/Physical Interpretation," 2020, published in Chemosensors
  • "Enhanced Visible Light Localization Based on Machine Learning and Optimized Fingerprinting in Wireless Sensor Networks," 2023, published in IEEE Transactions on Instrumentation and Measurement
  • "Autonomous IoT Monitoring Matching Spectral Artificial Light Manipulation for Horticulture," 2022, published in Sensors

The venues in which the scientist regularly publishes include:

  • Sensors
  • IEEE Transactions on Instrumentation and Measurement
  • Chemosensors
  • ACTA IMEKO
  • IEEE Sensors Journal

Collaborations form an important part of Ada Fort's research environment. Frequent co-authors associated with their work are:

  • Valerio Vignoli
  • Marco Mugnaini
  • Enza Panzardi
  • Elia Landi
  • Tommaso Addabbo

Best Publications

  • Soft fault detection and isolation in analog circuits: some results and a comparison between a fuzzy approach and radial basis function networks

    M. Catelani;A. Fort

  • Acoustic analysis of newborn infant cry signals

    Ada Fort;Claudia Manfredi

  • SBT soft fault diagnosis in analog electronic circuits: a sensitivity-based approach by randomized algorithms

    C. Alippi;M. Catelani;A. Fort;M. Mugnaini

  • Fault diagnosis of electronic analog circuits using a radial basis function network classifier

    Marcantonio Catelani;Ada Fort

  • A feedback strategy to improve the entropy of a chaos-based random bit generator

    T. Addabbo;M. Alioto;A. Fort;S. Rocchi

  • A Class of Maximum-Period Nonlinear Congruential Generators Derived From the Rényi Chaotic Map

    T. Addabbo;M. Alioto;A. Fort;A. Pasini

  • Selectivity enhancement of SnO2 sensors by means of operating temperature modulation

    A Fort;M Gregorkiewitz;N Machetti;S Rocchi

  • Automated selection of test frequencies for fault diagnosis in analog electronic circuits

    C. Alippi;M. Catelani;A. Fort;M. Mugnaini

  • Simplified models for SnO2 sensors during chemical and thermal transients in mixtures of inert, oxidizing and reducing gases

    Ada Fort;Marco Mugnaini;Santina Rocchi;M. Belén Serrano-Santos

  • Model and Experimental Characterization of the Dynamic Behavior of Low-Power Carbon Monoxide MOX Sensors Operated With Pulsed Temperature Profiles

    S. Bicelli;A. Depari;G. Faglia;A. Flammini

  • Metal-oxide nanowire sensors for CO detection: Charaterization and modeling

    A. Fort;M. Mugnaini;S. Rocchi;V. Vignoli

  • Parametric and non-parametric estimation of speech formants: application to infant cry

    Ada Fort;A Ismaelli;C Manfredi;P. Bruscaglioni

  • Design, Modeling, and Test of a System for Atmospheric Electric Field Measurement

    A. Fort;M. Mugnaini;V. Vignoli;S. Rocchi

  • Tin oxide gas sensing: comparison among different measurement techniques for gas mixture classification

    A. Fort;N. Machetti;S. Rocchi;M.B. Serrano Santos

  • Quartz-Crystal Microbalance Gas Sensors Based on TiO 2 Nanoparticles

    Tommaso Addabbo;Ada Fort;Marco Mugnaini;Valerio Vignoli

  • Battery-Less HF RFID Sensor Tag for Soil Moisture Measurements

    Irene Cappelli;Ada Fort;Marco Mugnaini;Enza Panzardi

  • A city-scale IoT architecture for monumental structures monitoring

    Tommaso Addabbo;Ada Fort;Marco Mugnaini;Enza Panzardi

  • Highly Sensitive Detection of NO2 by Au and TiO2 Nanoparticles Decorated SWCNTs Sensors.

    Ada Fort;Enza Panzardi;Ammar Al-Hamry;Valerio Vignoli

  • Surface State Model for Conductance Responses During Thermal-Modulation of SnO $_{2}$ -Based Thick Film Sensors: Part I—Model Derivation

    A. Fort;S. Rocchi;M.B. Serrano-Santos;R. Spinicci

  • A fuzzy approach for soft fault detection in analog circuits

    Marcantonio Catelani;Ada Fort;Cesare Alippi

  • The Digital Tent Map: Performance Analysis and Optimized Design as a Low-Complexity Source of Pseudorandom Bits

    T. Addabbo;M. Alioto;A. Fort;S. Rocchi

  • An efficient implementation of PRNGs based on the digital sawtooth map: Research Articles

    Massimo Alioto;Simone Bernardi;Ada Fort;Santina Rocchi

Frequent Co-Authors

Massimo Alioto
Massimo Alioto National University of Singapore
Guido Faglia
Guido Faglia University of Brescia
Cesare Alippi
Cesare Alippi Polytechnic University of Milan
Elisabetta Comini
Elisabetta Comini University of Brescia
Alessandra Flammini
Alessandra Flammini University of Brescia
Niccolò Taddei
Niccolò Taddei University of Florence
Giorgio Sberveglieri
Giorgio Sberveglieri University of Brescia
F. Palmonari
F. Palmonari University of Wisconsin–Madison
Claudiu T. Supuran
Claudiu T. Supuran University of Florence
Olfa Kanoun
Olfa Kanoun Chemnitz University of Technology

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