World's Best Scientists 2026 revealed!
Philippe Ciblat

Philippe Ciblat

D-Index & Metrics

Computer Science

D-Index
34
Citations
3903
World Ranking
12302
National Ranking
311

Philippe Ciblat 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 Philippe Ciblat 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: 272 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.

Philippe Ciblat 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 Philippe Ciblat 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Philippe Ciblat is affiliated with Télécom ParisTech in France, where their research primarily focuses on engineering and computer science. Their work spans several subfields, including electrical and electronic engineering, computer networks and communications, artificial intelligence, aerospace engineering, and computer vision and pattern recognition.

Their research covers a range of topics related to communication systems and network technologies. Notable areas of interest include advanced MIMO systems optimization, cooperative communication and network coding, advanced graph neural networks, advanced wireless network optimization, satellite communication systems, wireless communication networks research, and optical network technologies.

The scientist has contributed to various publication venues, with several papers appearing in arXiv (Cornell University), IEEE Transactions on Information Theory, Signal Processing, IEEE Photonics Technology Letters, and the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC).

  • Negative sampling strategies for contrastive self-supervised learning of graph representations (2021, Signal Processing)
  • GraphCL: Contrastive Self-Supervised Learning of Graph Representations (2020, arXiv (Cornell University))
  • Receiver-Based Experimental Estimation of Power Losses in Optical Networks (2021, IEEE Photonics Technology Letters)
  • Receiver-Based Localization and Estimation of Polarization Dependent Loss (2022, 2022 27th OptoElectronics and Communications Conference and International Conference on Photonics in Switching and Computing)
  • Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks (2023, IEEE Transactions on Machine Learning in Communications and Networking)

Philippe Ciblat has collaborated frequently with several coauthors, reflecting interdisciplinary research efforts. Frequent collaborators include Mounir Ghogho, Hakim Hafidi, Élie Awwad, Pétros Ramantanis, and Apostolos Avranas.

Best Publications

  • Asynchronous distributed optimization using a randomized alternating direction method of multipliers

    Franck Iutzeler;Pascal Bianchi;Philippe Ciblat;Walid Hachem

  • Age-optimal constrained cache updating

    Roy D. Yates;Philippe Ciblat;Aylin Yener;Micheie Wigger

  • Asymptotic analysis of blind cyclic correlation-based symbol-rate estimators

    P. Ciblat;P. Loubaton;E. Serpedin;G.B. Giannakis

  • Decision-directed fine synchronization in OFDM systems

    Kai Shi;E. Serpedin;P. Ciblat

  • Asymptotic analysis of blind cyclic correlation based symbol rate estimation

    P. Ciblat;P. Loubaton;E. Serpedin;G. B. Giannakis

  • A Survey on Fiber Nonlinearity Compensation for 400 Gb/s and Beyond Optical Communication Systems

    Abdelkerim Amari;Octavia A. Dobre;Ramachandran Venkatesan;O. S. Sunish Kumar

  • Analysis of Max-Consensus Algorithms in Wireless Channels

    F. Iutzeler;P. Ciblat;J. Jakubowicz

  • Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers

    Franck Iutzeler;Pascal Bianchi;Philippe Ciblat;Walid Hachem

  • Resource Allocation for Downlink Cellular OFDMA Systems—Part I: Optimal Allocation

    N. Ksairi;P. Bianchi;P. Ciblat;W. Hachem

  • Optimal blind nonlinear least-squares carrier phase and frequency offset estimation for general QAM modulations

    Yan Wang;E. Serpedin;P. Ciblat

  • Performance analysis of blind carrier frequency offset estimators for noncircular transmissions through frequency-selective channels

    P. Ciblat;P. Loubaton;E. Serpedin;G.B. Giannakis

  • Practical Timing and Frequency Synchronization for OFDM-Based Cooperative Systems

    Qinfei Huang;Mounir Ghogho;Jibo Wei;Philippe Ciblat

  • Energy-Latency Tradeoff in Ultra-Reliable Low-Latency Communication with Retransmissions

    Apostolos Avranas;Marios Kountouris;Philippe Ciblat

  • Performance analysis of blind carrier phase estimators for general QAM constellations

    E. Serpedin;P. Ciblat;G.B. Giannakis;P. Loubaton

  • Optimal blind carrier recovery for MPSK burst transmissions

    Yan Wang;E. Serpedin;P. Ciblat

  • Joint sampling clock offset and channel estimation for OFDM signals: Crame/spl acute/r-Rao bound and algorithms

    S. Gault;W. Hachem;P. Ciblat

  • Blind NLLS carrier frequency-offset estimation for QAM, PSK, and PAM modulations: performance at low SNR

    P. Ciblat;M. Ghogho

  • Blind carrier frequency offset estimation for noncircular constellation-based transmissions

    P. Ciblat;L. Vandendorpe

  • A fine blind frequency offset estimator for OFDM/OQAM systems

    P. Ciblat;E. Serpedin

  • An alternative blind feedforward symbol timing estimator using two samples per symbol

    Yan Wang;E. Serpedin;P. Ciblat

  • Surveillance Strategies Against Primary User Emulation Attack in Cognitive Radio Networks

    Nhan Nguyen Thanh;Philippe Ciblat;Anh T. Pham;Van-Tam Nguyen

  • Accurate digital frequency offset estimator for coherent PolMux QAM transmission systems

    Mehrez Selmi;Yves Jaouen;Philippe Ciblat

Frequent Co-Authors

Erchin Serpedin
Erchin Serpedin Texas A&M University
Mounir Ghogho
Mounir Ghogho Mohammed VI Polytechnic University
Philippe Loubaton
Philippe Loubaton Université Paris Cité
Pierre Duhamel
Pierre Duhamel CentraleSupélec
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Roy D. Yates
Roy D. Yates Rutgers, The State University of New Jersey
Luc Vandendorpe
Luc Vandendorpe Université Catholique de Louvain
Jibo Wei
Jibo Wei National University of Defense Technology

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

Studying Computer Science in the USA often opens doors to a variety of related online degrees and career pathways. Many students opt to broaden their technical expertise or shift into adjacent fields through affordable online programs.

For those interested in environmental issues and sustainability, you might want to explore the cheapest online environmental science degree options. This path blends computing with environmental problem-solving and is growing in industry relevance.

If your passion lies in technology and design, pursuing the cheapest online mechanical engineering degree could be an excellent fit. This course provides solid engineering fundamentals with a pathway into automation, robotics, and manufacturing sectors.

For a deeper understanding of the foundation of modern technology, there are numerous online physics degrees designed to enhance analytical and computational skills, which are valuable across STEM careers.

With the rising demand for data-driven decision-making, aspiring data scientists should look for what is the cheapest data science course in the us? Data science is a natural extension of computer science, offering lucrative opportunities in finance, healthcare, and tech.

Best Scientists Citing Philippe Ciblat

Trending Scientists

Recently Published Articles