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Davide Rossi

D-Index & Metrics

Computer Science

D-Index
37
Citations
5134
World Ranking
10856
National Ranking
343

Davide Rossi 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 Davide Rossi 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: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Davide Rossi 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 Davide Rossi 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: 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

Davide Rossi is affiliated with the University of Bologna in Italy. Their research contributions primarily span the fields of Computer Science and Engineering, with a strong emphasis on Electrical and Electronic Engineering and Hardware and Architecture.

The scientist's work centers on several specialized subfields, including:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Main topics addressed in their research include:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Embedded Systems Design Techniques
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • Low-power high-performance VLSI design
  • Interconnection Networks and Systems

Davide Rossi has contributed to multiple publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • IEEE Journal of Solid-State Circuits
  • Balneo and PRM Research Journal

Frequent co-authors collaborating with Rossi include:

  • Luca Benini
  • Francesco Conti
  • Angelo Garofalo
  • Giuseppe Tagliavini
  • Yvan Tortorella

Selected recent publications by Davide Rossi encompass:

  • "Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode," 2021, IEEE Journal of Solid-State Circuits
  • "Arnold: An eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End Nodes," 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • "XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes," 2021, IEEE Transactions on Emerging Topics in Computing
  • "A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks," 2022, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "Always-On 674μ W@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node," 2020, IEEE Transactions on Circuits and Systems I Regular Papers

Best Publications

  • Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices

    Michael Gautschi;Pasquale Davide Schiavone;Andreas Traber;Igor Loi

  • YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration

    Renzo Andri;Lukas Cavigelli;Davide Rossi;Luca Benini

  • YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights

    Renzo Andri;Lukas Cavigelli;Davide Rossi;Luca Benini

  • Slow and steady wins the race? A comparison of ultra-low-power RISC-V cores for Internet-of-Things applications

    Pasquale Davide Schiavone;Francesco Conti;Davide Rossi;Michael Gautschi

  • GAP-8: A RISC-V SoC for AI at the Edge of the IoT

    Eric Flamand;Davide Rossi;Francesco Conti;Igor Loi

  • Coordinating multiagent applications on the WWW: a reference architecture

    P. Ciancarini;R. Tolksdorf;F. Vitali;D. Rossi

  • Mr.Wolf: An Energy-Precision Scalable Parallel Ultra Low Power SoC for IoT Edge Processing

    Antonio Pullini;Davide Rossi;Igor Loi;Giuseppe Tagliavini

  • Jada - Coordination and Communication for Java Agents

    Paolo Ciancarini;Davide Rossi

  • PULP: A parallel ultra low power platform for next generation IoT applications

    Davide Rossi;Francesco Conti;Andrea Marongiu;Antonio Pullini

  • A transprecision floating-point platform for ultra-low power computing

    Giuseppe Tagliavini;Stefan Mach;Davide Rossi;Andrea Marongiu

  • An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

    Francesco Conti;Robert Schilling;Pasquale Davide Schiavone;Antonio Pullini

  • PULP: A Ultra-Low Power Parallel Accelerator for Energy-Efficient and Flexible Embedded Vision

    Francesco Conti;Davide Rossi;Antonio Pullini;Igor Loi

  • DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs

    Alessio Burrello;Angelo Garofalo;Nazareno Bruschi;Giuseppe Tagliavini

  • Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode

    Davide Rossi;Francesco Conti;Manuel Eggimann;Alfio Di Mauro

  • SLA-Driven Clustering of QoS-Aware Application Servers

    Unknown

  • Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes

    Erfan Azarkhish;Davide Rossi;Igor Loi;Luca Benini

  • A Heterogeneous Digital Signal Processor for Dynamically Reconfigurable Computing

    Davide Rossi;Fabio Campi;Simone Spolzino;Stefano Pucillo

  • PULP-NN: accelerating quantized neural networks on parallel ultra-low-power RISC-V processors

    Angelo Garofalo;Manuele Rusci;Francesco Conti;Francesco Conti;Davide Rossi

  • Quentin: an Ultra-Low-Power PULPissimo SoC in 22nm FDX

    Pasquale Davide Schiavone;Davide Rossi;Antonio Pullini;Alfio Di Mauro

  • Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing

    Simone Benatti;Fabio Montagna;Victor Kartsch;Abbas Rahimi

  • A 60 GOPS/W, −1.8 V to 0.9 V body bias ULP cluster in 28 nm UTBB FD-SOI technology

    Davide Rossi;Antonio Pullini;Igor Loi;Michael Gautschi

  • Tuple-based Technologies for Coordination

    Unknown

  • The ShaPE of ShaDe: a Coordination System

    S. Castellani;P. Ciancarini;D. Rossi

  • NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs

    Paolo Meloni;Alessandro Capotondi;Gianfranco Deriu;Michele Brian

  • A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems

    Victor Javier Kartsch;Simone Benatti;Pasquale Davide Schiavone;Davide Rossi

  • Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster

    Davide Rossi;Antonio Pullini;Igor Loi;Michael Gautschi

  • Arnold: An eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End Nodes

    Pasquale Davide Schiavone;Davide Rossi;Alfio Di Mauro;Frank K. Gurkaynak

  • XpulpNN: accelerating quantized neural networks on RISC-V processors through ISA extensions

    Angelo Garofalo;Giuseppe Tagliavini;Francesco Conti;Davide Rossi

  • YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration

    Renzo Andri;Lukas Cavigelli;Davide Rossi;Luca Benini

  • A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devices

    Michael Gautschi;Pasquale Davide Schiavone;Andreas Traber;Igor Loi

Frequent Co-Authors

Luca Benini
Luca Benini ETH Zurich
Elisabetta Farella
Elisabetta Farella Fondazione Bruno Kessler
Andreas Burg
Andreas Burg École Polytechnique Fédérale de Lausanne
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Paolo Ciancarini
Paolo Ciancarini University of Bologna
Pierpaolo Palestri
Pierpaolo Palestri University of Udine
Roberto Guerrieri
Roberto Guerrieri University of Bologna
Qiuting Huang
Qiuting Huang ETH Zurich
Marco Brambilla
Marco Brambilla Polytechnic University of Milan
Rolf Ernst
Rolf Ernst Technische Universität Braunschweig

External Links

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New Jersey Institute of Technology

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