World's Best Scientists 2026 revealed!
Giuseppe Ricci

Giuseppe Ricci

D-Index & Metrics

Computer Science

D-Index
37
Citations
5832
World Ranking
10758
National Ranking
334

Giuseppe Ricci 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 Giuseppe Ricci 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Giuseppe Ricci 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 Giuseppe Ricci sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Giuseppe Ricci is affiliated with the University of Salento in Italy. Their research primarily focuses on engineering and computer science, with a strong emphasis on aerospace engineering, signal processing, artificial intelligence, biomedical engineering, and electrical and electronic engineering.

The main topics covered in Ricci's work include:

  • Radar Systems and Signal Processing
  • Advanced SAR Imaging Techniques
  • Direction-of-Arrival Estimation Techniques
  • Microwave Imaging and Scattering Analysis
  • Wireless Signal Modulation Classification
  • Indoor and Outdoor Localization Technologies
  • Synthetic Aperture Radar (SAR) Applications and Techniques

Ricci has frequently published in the following venues:

  • IEEE Transactions on Signal Processing
  • Signal Processing
  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Signal Processing Letters
  • arXiv (Cornell University)

Notable recent papers published by Ricci include:

  • Learning Strategies for Radar Clutter Classification, 2021, CINECA IRIS Institutional Research Information System (University of Pisa)
  • CFAR Feature Plane: A Novel Framework for the Analysis and Design of Radar Detectors, 2020, IEEE Transactions on Signal Processing
  • A Pseudo Maximum likelihood approach to position estimation in dynamic multipath environments, 2020, Signal Processing
  • A KNN-Based Radar Detector for Coherent Targets in Non-Gaussian Noise, 2021, IEEE Signal Processing Letters
  • A k-nearest neighbors approach to the design of radar detectors, 2020, Signal Processing

The scientist collaborates frequently with several co-authors, including:

  • Danilo Orlando
  • Angelo Coluccia
  • Pia Addabbo
  • Alessio Fascista
  • Sudan Han

Ricci's research spans multiple subfields with a considerable publication count in aerospace engineering and signal processing. Their work integrates techniques from artificial intelligence and biomedical engineering into the broader field of electrical and electronic engineering.

Best Publications

  • Asymptotically optimum radar detection in compound-Gaussian clutter

    E. Conte;M. Lops;G. Ricci

  • GLRT-based adaptive detection algorithms for range-spread targets

    E. Conte;A. De Maio;G. Ricci

  • Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection

    E. Conte;A. De Maio;G. Ricci

  • Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference

    F. Bandiera;A. De Maio;A.S. Greco;G. Ricci

  • Adaptive matched filter detection in spherically invariant noise

    E. Conte;M. Lops;G. Ricci

  • Advanced Radar Detection Schemes Under Mismatched Signal Models

    Danilo Orlando;Francesco Bandiera;Giuseppe Ricci

  • Adaptive detection schemes in compound-Gaussian clutter

    E. Conte;M. Lops;G. Ricci

  • CFAR detection of distributed targets in non-Gaussian disturbance

    E. Conte;A. De Maio;G. Ricci

  • Track-Before-Detect Strategies for STAP Radars

    D. Orlando;L. Venturino;M. Lops;G. Ricci

  • Covariance matrix estimation for adaptive CFAR detection in compound-Gaussian clutter

    E. Conte;A. De Maio;G. Ricci

  • Track-Before-Detect Algorithms for Targets with Kinematic Constraints

    D. Orlando;G. Ricci;Y. Bar-Shalom

  • Detection Algorithms to Discriminate Between Radar Targets and ECM Signals

    F Bandiera;A Farina;D Orlando;G Ricci

  • A polarimetric adaptive matched filter

    Antonio De Maio;Giuseppe Ricci

  • An ABORT-Like Detector With Improved Mismatched Signals Rejection Capabilities

    F. Bandiera;O. Besson;G. Ricci

  • GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference

    F. Bandiera;O. Besson;D. Orlando;G. Ricci

  • Angle of Arrival-Based Cooperative Positioning for Smart Vehicles

    Alessio Fascista;Giovanni Ciccarese;Angelo Coluccia;Giuseppe Ricci

  • Adaptive CFAR Radar Detection With Conic Rejection

    F. Bandiera;Antonio De Maio;G. Ricci

  • Knowledge-Aided Covariance Matrix Estimation and Adaptive Detection in Compound-Gaussian Noise

    Francesco Bandiera;Olivier Besson;Giuseppe Ricci

  • Performance prediction in compound-Gaussian clutter

    E. Conte;G. Ricci

  • A Localization Algorithm Based on V2I Communications and AOA Estimation

    Alessio Fascista;Giovanni Ciccarese;Angelo Coluccia;Giuseppe Ricci

Frequent Co-Authors

Danilo Orlando
Danilo Orlando IEEE Computer Society
Marco Lops
Marco Lops University of Naples Federico II
Olivier Besson
Olivier Besson National Higher French Institute of Aeronautics and Space
Mahesh K. Varanasi
Mahesh K. Varanasi University of Colorado Boulder
Louis L. Scharf
Louis L. Scharf Colorado State University
Antonia M. Tulino
Antonia M. Tulino University of Naples Federico II
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Antonio De Maio
Antonio De Maio University of Naples Federico II
Stefano Buzzi
Stefano Buzzi University of Cassino and Southern Lazio
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut

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