World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8650
World Ranking
6210
National Ranking
39

Alexandros Potamianos 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 Alexandros Potamianos 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Alexandros Potamianos 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 Alexandros Potamianos 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Alexandros Potamianos is affiliated with the National Technical University of Athens in Greece. Their research primarily focuses on computer science, with a notable emphasis on artificial intelligence and signal processing, alongside work in computer vision and pattern recognition, music, and experimental and cognitive psychology.

Their work spans several main topics, including:

  • Music and Audio Processing
  • Speech Recognition and Synthesis
  • Topic Modeling
  • Speech and Audio Processing
  • Sentiment Analysis and Opinion Mining
  • Speech and dialogue systems
  • Domain Adaptation and Few-Shot Learning

Recent publications by Alexandros Potamianos feature a range of topics within audio processing and speech technologies. Examples include:

  • "Affective Conditioning on Hierarchical Networks applied to Depression Detection from Transcribed Clinical Interviews" (2020, arXiv [Cornell University])
  • "A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking" (2022, Interspeech 2022)
  • "Regotron: Regularizing the Tacotron2 Architecture Via Monotonic Alignment Loss" (2023, 2022 IEEE Spoken Language Technology Workshop [SLT])
  • "Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems: A Case Study for Modern Greek" (2023, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • "Depression detection in social media posts using affective and social norm features" (2023, arXiv [Cornell University])

Frequent publication venues include:

  • arXiv (Cornell University)
  • Interspeech 2022
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • 2022 IEEE Spoken Language Technology Workshop (SLT)
  • Zenodo (CERN European Organization for Nuclear Research)

Alexandros Potamianos collaborates regularly with several coauthors, including:

  • Efthymios Georgiou
  • Georgios Paraskevopoulos
  • Charilaos Papaioannou
  • Vassilis Katsouros
  • Athanasios Katsamanis

Best Publications

  • Acoustics of children's speech: developmental changes of temporal and spectral parameters.

    Sungbok Lee;Alexandros Potamianos;Shrikanth Narayanan

  • A comparison of the energy operator and the Hilbert transform approach to signal and speech demodulation

    Alexandros Potamianos;Petros Maragos

  • Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention

    Georgios Evangelopoulos;Athanasia Zlatintsi;Alexandros Potamianos;Petros Maragos

  • Robust recognition of children's speech

    A. Potamianos;S. Narayanan

  • System and method for representing and resolving ambiguity in spoken dialogue systems

    Egbert Ammicht;J. Fosler-Lussier;Alexandros Potamianos

  • Speech formant frequency and bandwidth tracking using multiband energy demodulation

    Alexandros Potamianos;Petros Maragos

  • Creating conversational interfaces for children

    S. Narayanan;A. Potamianos

  • Multi-band speech recognition in noisy environments

    S. Okawa;E. Bocchieri;A. Potamianos

  • Fractal dimensions of speech sounds: computation and application to automatic speech recognition.

    Petros Maragos;Alexandros Potamianos

  • Robust AM-FM features for speech recognition

    D. Dimitriadis;P. Maragos;A. Potamianos

  • A review of ASR technologies for children's speech

    Matteo Gerosa;Diego Giuliani;Shrikanth Narayanan;Alexandros Potamianos

  • Data Augmentation Using GANs for Speech Emotion Recognition.

    Aggelina Chatziagapi;Georgios Paraskevopoulos;Dimitris Sgouropoulos;Georgios Pantazopoulos

  • Higher order differential energy operators

    P. Maragos;A. Potamianos

  • Automatic speech recognition for children.

    Alexandros Potamianos;Shrikanth S. Narayanan;Sungbok Lee

  • DARPA communicator dialog travel planning systems: the june 2000 data collection.

    Marilyn A. Walker;John S. Aberdeen;Julie E. Boland;Elizabeth Owen Bratt

  • Batch and Adaptive PARAFAC-Based Blind Separation of Convolutive Speech Mixtures

    D Nion;K N Mokios;N D Sidiropoulos;A Potamianos

  • NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning.

    Christos Baziotis;Athanasiou Nikolaos;Alexandra Chronopoulou;Athanasia Kolovou

  • Unsupervised Semantic Similarity Computation between Terms Using Web Documents

    Elias Iosif;Alexandros Potamianos

  • A supervised approach to movie emotion tracking

    N. Malandrakis;A. Potamianos;G. Evangelopoulos;A. Zlatintsi

  • An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models

    Alexandra Chronopoulou;Christos Baziotis;Alexandros Potamianos;Alexandros Potamianos

  • Detecting emotional state of a child in a conversational computer game

    Serdar Yildirim;Shrikanth Narayanan;Alexandros Potamianos

Frequent Co-Authors

Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Petros Maragos
Petros Maragos National Technical University of Athens
Richard Rose
Richard Rose Google (United States)
Sungbok Lee
Sungbok Lee University of Southern California
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Giuseppe Riccardi
Giuseppe Riccardi University of Trento
Yannis Avrithis
Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)
Alexander I. Rudnicky
Alexander I. Rudnicky Carnegie Mellon University
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Marilyn A. Walker
Marilyn A. Walker University of California, Santa Cruz

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