World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
8640
World Ranking
4236
National Ranking
1518

Computer Science

D-Index
43
Citations
11983
World Ranking
7800
National Ranking
3376

Eugenio Culurciello 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 Eugenio Culurciello 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: 150 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Eugenio Culurciello 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 Eugenio Culurciello 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: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Eugenio Culurciello is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the field of Computer Science with specialization in multiple subfields including Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, and Computational Theory and Mathematics.

The scientist's work covers various advanced topics such as Reinforcement Learning in Robotics, Adaptive Dynamic Programming Control, Distributed Control Multi-Agent Systems, Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Advanced Memory and Neural Computing, and the application of AI in COVID-19 diagnosis.

Frequent coauthors of Eugenio Culurciello include Abhishek Chaurasia, Shakti N. Wadekar, Vincenzo Lomonaco, Karan Desai, and Davide Maltoni. Their collaborative efforts have contributed to the development of research in related domains.

The notable recent papers published by Eugenio Culurciello consist of:

  • Continual reinforcement learning in 3D non-stationary environments (2020), published in CINECA IRIS Institutional research information system (University of Pisa)
  • Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array (2022), published on arXiv (Cornell University)
  • The Evolution of Multimodal Model Architectures (2024), published on arXiv (Cornell University)
  • OneCAD: One Classifier for All image Datasets using multimodal learning (2023), published on arXiv (Cornell University)
  • Semantically complex audio to video generation with audio source separation (2025), published in Engineering Applications of Artificial Intelligence

The frequent venues where Eugenio Culurciello has published include:

  • arXiv (Cornell University)
  • CINECA IRIS Institutional research information system (University of Pisa)
  • Engineering Applications of Artificial Intelligence

Best Publications

  • LinkNet: Exploiting encoder representations for efficient semantic segmentation

    Abhishek Chaurasia;Eugenio Culurciello

  • ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

    Adam Paszke;Abhishek Chaurasia;Sangpil Kim;Eugenio Culurciello

  • An Analysis of Deep Neural Network Models for Practical Applications

    Alfredo Canziani;Adam Paszke;Eugenio Culurciello

  • NeuFlow: A runtime reconfigurable dataflow processor for vision

    Clement Farabet;Berin Martini;Benoit Corda;Polina Akselrod

  • A biomorphic digital image sensor

    E. Culurciello;R. Etienne-Cummings;K.A. Boahen

  • A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks

    Vinayak Gokhale;Jonghoon Jin;Aysegul Dundar;Berin Martini

  • Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information

    Giovanni Barbera;Giovanni Barbera;Bo Liang;Lifeng Zhang;Charles R. Gerfen

  • Hardware accelerated convolutional neural networks for synthetic vision systems

    Clement Farabet;Berin Martini;Polina Akselrod;Selcuk Talay

  • Activity-driven, event-based vision sensors

    Tobi Delbruck;Bernabe Linares-Barranco;Eugenio Culurciello;Christoph Posch

  • Flattened Convolutional Neural Networks for Feedforward Acceleration

    Jonghoon Jin;Aysegul Dundar;Eugenio Culurciello

  • Recurrent Neural Networks Hardware Implementation on FPGA

    Andre Xian Ming Chang;Berin Martini;Eugenio Culurciello

  • Capacitive Inter-Chip Data and Power Transfer for 3-D VLSI

    E. Culurciello;A.G. Andreou

  • Large-Scale FPGA-based Convolutional Networks

    Clément Farabet;Yann Lecun;Koray Kavukcuoglu;Berin Martini

  • Embedded Streaming Deep Neural Networks Accelerator With Applications

    Aysegul Dundar;Jonghoon Jin;Berin Martini;Eugenio Culurciello

  • NeuFlow: Dataflow vision processing system-on-a-chip

    Phi-Hung Pham;Darko Jelaca;Clement Farabet;Berin Martini

  • Analyzing complex single-molecule emission patterns with deep learning

    Peiyi Zhang;Sheng Liu;Abhishek Chaurasia;Donghan Ma

  • An Address-Event Fall Detector for Assisted Living Applications

    Zhengming Fu;T. Delbruck;P. Lichtsteiner;E. Culurciello

  • Hardware accelerators for recurrent neural networks on FPGA

    Andre Xian Ming Chang;Eugenio Culurciello

  • A Multichip Neuromorphic System for Spike-Based Visual Information Processing

    R. Jacob Vogelstein;Udayan Mallik;Eugenio Culurciello;Gert Cauwenberghs

  • Noise Analysis and Performance Comparison of Low Current Measurement Systems for Biomedical Applications

    Dongsoo Kim;B. Goldstein;Wei Tang;F. J. Sigworth

  • Arbitrated address-event representation digital image sensor

    E. Culurciello;R. Etienne-Cummings;K. Boahen

Frequent Co-Authors

Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Vincent A. Pieribone
Vincent A. Pieribone Yale University
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Yann LeCun
Yann LeCun Facebook (United States)
Kwabena Boahen
Kwabena Boahen Stanford University
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Tobi Delbruck
Tobi Delbruck ETH Zurich
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville

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