World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5544
World Ranking
9855
National Ranking
298

Paolo Braca 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 Paolo Braca 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Paolo Braca 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 Paolo Braca 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Paolo Braca is affiliated with the North Atlantic Treaty Organization in Italy and focuses primarily on research in engineering and computer science. Their work spans several interconnected subfields including ocean engineering, artificial intelligence, computer networks and communications, electrical and electronic engineering, and aerospace engineering.

The main topics Paolo Braca addresses in their research include maritime navigation and safety, target tracking and data fusion in sensor networks, anomaly detection techniques and applications, indoor and outdoor localization technologies, underwater vehicles and communication systems, maritime security and history, as well as COVID-19 epidemiological studies.

Braca has contributed papers to a variety of publication venues, with frequent publications in IEEE journals and magazines, as well as institutional research systems. Notable venues include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Aerospace and Electronic Systems Magazine
  • arXiv (Cornell University)
  • CINECA IRIS Institutional Research Information System (University of Pisa)
  • IEEE Open Journal of Signal Processing

Recent significant papers authored or coauthored by Braca cover themes such as deep learning for maritime vessel trajectory prediction, the impact of COVID-19 on global maritime mobility, satellite technologies for maritime surveillance, Bayesian learning applied to epidemic evolution, and maritime anomaly detection through statistical frameworks. These include:

  • Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks, 2021, CINECA IRIS Institutional Research Information System (University of Pisa)
  • COVID-19 Impact on Global Maritime Mobility, 2021, CINECA IRIS Institutional Research Information System (University of Pisa)
  • Space-Based Global Maritime Surveillance. Part I: Satellite Technologies, 2021, IEEE Aerospace and Electronic Systems Magazine
  • Adaptive Bayesian Learning and Forecasting of Epidemic Evolution-Data Analysis of the COVID-19 Outbreak, 2020, IEEE Access
  • Malicious AIS Spoofing and Abnormal Stealth Deviations: A Comprehensive Statistical Framework for Maritime Anomaly Detection, 2021, IEEE Transactions on Aerospace and Electronic Systems

Frequent collaborators in Paolo Braca's research include Peter Willett, Leonardo M. Millefiori, Domenico Gaglione, Nicola Forti, and Giovanni Soldi. The depth of these collaborations is reflected in numerous joint publications.

Best Publications

  • Message Passing Algorithms for Scalable Multitarget Tracking

    Florian Meyer;Thomas Kropfreiter;Jason L. Williams;Roslyn Lau

  • Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks.

    Samuele Capobianco;Leonardo Maria Millefiori;Nicola Forti;Paolo Braca

  • A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors

    Florian Meyer;Paolo Braca;Peter Willett;Franz Hlawatsch

  • Gamma Gaussian Inverse Wishart Probability Hypothesis Density for Extended Target Tracking Using X-Band Marine Radar Data

    Karl Granstrom;Antonio Natale;Paolo Braca;Giovanni Ludeno

  • Enforcing Consensus While Monitoring the Environment in Wireless Sensor Networks

    P. Braca;S. Marano;V. Matta

  • Maritime Surveillance Using Multiple High-Frequency Surface-Wave Radars

    Salvatore Maresca;Paolo Braca;Jochen Horstmann;Raffaele Grasso

  • Cooperative robotic networks for underwater surveillance: an overview

    Gabriele Ferri;Andrea Munafò;Alessandra Tesei;Paolo Braca

  • Asymptotic Optimality of Running Consensus in Testing Binary Hypotheses

    P. Braca;S. Marano;V. Matta;P. Willett

  • Unsupervised learning of maritime traffic patterns for anomaly detection

    Michele Vespe;Ingrid Visentini;Karna Bryan;Paolo Braca

  • Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction

    Leonardo M. Millefiori;Paolo Braca;Karna Bryan;Peter Willett

  • Distributed information fusion in multistatic sensor networks for underwater surveillance

    Paolo Braca;Ryan A. Goldhahn;Gabriele Ferri;Kevin D. LePage

  • Distributed Information Fusion in Multistatic Sensor Networks for Underwater Surveillance

    Paolo Braca;Ryan Goldhahn;Gabriele Ferri;Kevin D. LePage

  • Joint Probabilistic Data Association Tracker for Extended Target Tracking Applied to X-Band Marine Radar Data

    Gemine Vivone;Paolo Braca

  • Knowledge-Based Multitarget Ship Tracking for HF Surface Wave Radar Systems

    Gemine Vivone;Paolo Braca;Jochen Horstmann

  • Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity

    Paolo Braca;Peter Willett;Kevin LePage;Stefano Marano

  • Multiple Extended Target Tracking for Through-Wall Radars

    Gianluca Gennarelli;Gemine Vivone;Paolo Braca;Francesco Soldovieri

  • Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results

    Giuliana Pallotta;Steven Horn;Paolo Braca;Karna Bryan

  • Detection of malicious AIS position spoofing by exploiting radar information

    Fotios Katsilieris;Paolo Braca;Stefano Coraluppi

  • Self-Tuning Algorithms for Multisensor-Multitarget Tracking Using Belief Propagation

    Giovanni Soldi;Florian Meyer;Paolo Braca;Franz Hlawatsch

  • Asymptotic Efficiency of the PHD in Multitarget/Multisensor Estimation

    P. Braca;S. Marano;V. Matta;P. Willett

  • Experimental Evaluation of the Range–Doppler Coupling on HF Surface Wave Radars

    L. Bruno;P. Braca;J. Horstmann;M. Vespe

Frequent Co-Authors

Peter Willett
Peter Willett University of Connecticut
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Krishna R. Pattipati
Krishna R. Pattipati University of Connecticut
Daniele Riccio
Daniele Riccio University of Naples Federico II
Antonio De Maio
Antonio De Maio University of Naples Federico II
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Augusto Aubry
Augusto Aubry University of Naples Federico II
Karl Granstrom
Karl Granstrom Chalmers University of Technology
Sandro Carniel
Sandro Carniel National Academies of Sciences, Engineering, and Medicine

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