World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11814
World Ranking
4559
National Ranking
96

Cesare Alippi 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 Cesare Alippi 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: 329 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Cesare Alippi 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 Cesare Alippi 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to robustness and application-level synthesis of embedded information processing systems.

Overview

Cesare Alippi is affiliated with the Polytechnic University of Milan in Italy. Their research spans computer science and engineering, with a particular focus on artificial intelligence and electrical and electronic engineering. Their work concentrates on subfields such as artificial intelligence, computer vision and pattern recognition, signal processing, and cognitive neuroscience.

Alippi's research topics include advanced graph neural networks, time series analysis and forecasting, anomaly detection techniques and applications, data stream mining techniques, graph theory and algorithms, neural networks and applications, and machine learning in materials science.

Frequent coauthors collaborating with Alippi include Andrea Cini, Daniele Zambon, Ivan Marisca, Daniele Grattarola, and Filippo Maria Bianchi.

They have published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Neural Networks and Learning Systems, IEEE Computational Intelligence Magazine, 2022 International Joint Conference on Neural Networks (IJCNN), and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Among their recent papers are:

  • Graph Neural Networks with Convolutional ARMA Filters (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection (2024), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes] (2021), published in IEEE Computational Intelligence Magazine
  • Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning (2022), published in IEEE Transactions on Neural Networks and Learning Systems
  • Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks (2020), published in IEEE/CAA Journal of Automatica Sinica

Cesare Alippi was recognized as an IEEE Fellow in 2006 for contributions to robustness and application-level synthesis of embedded information processing systems.

Best Publications

  • Learning in Nonstationary Environments: A Survey

    Gregory Ditzler;Manuel Roveri;Cesare Alippi;Robi Polikar

  • Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy

    Andrea Dal Pozzolo;Giacomo Boracchi;Olivier Caelen;Cesare Alippi

  • An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes

    C. Alippi;C. Galperti

  • Genetic-algorithm programming environments

    J.L. Ribeiro Filho;P.C. Treleaven;C. Alippi

  • Graph Neural Networks with convolutional ARMA filters

    Filippo Maria Bianchi;Daniele Grattarola;Lorenzo Livi;Cesare Alippi

  • A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring

    C Alippi;R Camplani;C Galperti;M Roveri

  • Energy management in wireless sensor networks with energy-hungry sensors

    C. Alippi;G. Anastasi;M. Di Francesco;M. Roveri

  • A RSSI-based and calibrated centralized localization technique for wireless sensor networks

    C. Alippi;G. Vanini

  • Advances in Computational Intelligence

    Jing Liu;Cesare Alippi;Bernadette Bouchon-Meunier;Garrison W. Greenwood

  • An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors

    C. Alippi;G. Anastasi;M. Di Francesco;M. Roveri

  • Spectral Clustering with Graph Neural Networks for Graph Pooling

    Filippo Maria Bianchi;Daniele Grattarola;Cesare Alippi

  • Graph Neural Networks in TensorFlow and Keras with Spektral

    Daniele Grattarola;Cesare Alippi

  • Deep learning for time series forecasting: The electric load case

    Alberto Gasparin;Slobodan Lukovic;Cesare Alippi;Cesare Alippi

  • Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes

    C. Alippi;M. Roveri

  • Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications

    C. Alippi;G. Anastasi;C. Galperti;F. Mancini

  • Composite real-time image processing for railways track profile measurement

    C. Alippi;E. Casagrande;F. Scotti;V. Piuri

  • Just-In-Time Classifiers for Recurrent Concepts

    C. Alippi;G. Boracchi;M. Roveri

  • Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case

    Cesare Alippi;Simone Disabato;Manuel Roveri

  • Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks

    Haowei Lin;Bo Zhao;Derong Liu;Cesare Alippi

  • Credit card fraud detection and concept-drift adaptation with delayed supervised information

    Andrea Dal Pozzolo;Giacomo Boracchi;Olivier Caelen;Cesare Alippi

  • Artificial neural networks

    Vincenzo Piuri;Cesare Alippi

  • Fault Diagnosis Systems

    Cesare Alippi

Frequent Co-Authors

Vincenzo Piuri
Vincenzo Piuri University of Milan
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Fabio Scotti
Fabio Scotti University of Milan
Derong Liu
Derong Liu University of Illinois at Chicago
Ada Fort
Ada Fort University of Siena
Marios M. Polycarpou
Marios M. Polycarpou University of Cyprus
Huaguang Zhang
Huaguang Zhang Northeastern University
Haibo He
Haibo He University of Rhode Island
Giuseppe Anastasi
Giuseppe Anastasi University of Pisa
Franco Maloberti
Franco Maloberti University of Pavia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens up a wealth of opportunities, including flexible and accelerated learning options. For tech enthusiasts looking to specialize, you might consider an online master’s in electrical engineering degree. This pathway can strengthen your credentials in fields like embedded systems, robotics, and telecommunications.

If you’re searching for a quicker entry into tech or related sectors, there are 3-month certificate programs that pay well. These short-term credentials can help boost your employability and offer practical skills without a long-term commitment.

For students juggling work and studies, the availability of the shortest online masters degree options means you can enhance your expertise and earning potential in a condensed time frame.

As you plan your academic journey, research masters degrees that are worth it in the current job market. Choosing a high-value program ensures your investment leads to rewarding roles in technology, data science, or engineering.

Best Scientists Citing Cesare Alippi

Trending Scientists

Recently Published Articles