World's Best Scientists 2026 revealed!
Radu Grosu

Radu Grosu

D-Index & Metrics

Computer Science

D-Index
46
Citations
7100
World Ranking
6928
National Ranking
55

Radu Grosu 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 Radu Grosu 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Radu Grosu 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 Radu Grosu 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Radu Grosu is affiliated with TU Wien in Austria and has an extensive research portfolio primarily in computer science and engineering. Their work spans multiple subfields including artificial intelligence, control and systems engineering, computational theory and mathematics, electrical and electronic engineering, and computer vision and pattern recognition.

The scientist's research covers several main topics, including:

  • Reinforcement Learning in Robotics
  • Formal Methods in Verification
  • Neural Networks and Applications
  • Adversarial Robustness in Machine Learning
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Model Reduction and Neural Networks

Recent papers authored or co-authored by Grosu include:

  • "Neural circuit policies enabling auditable autonomy," 2020, Nature Machine Intelligence
  • "Liquid Time-constant Networks," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries," 2021, Renewable and Sustainable Energy Reviews
  • "Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies," 2021, Theranostics
  • "Driver Distraction Detection Using Octave-Like Convolutional Neural Network," 2021, IEEE Transactions on Intelligent Transportation Systems

Frequent co-authors collaborating with Grosu include Daniela Rus, Zahra Babaiee, Ramin Hasani, Mathias Lechner, and Scott A. Smolka, indicating active and sustained partnerships in various research projects.

Publication venues where Grosu frequently publishes are varied, with notable appearances in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Radiotherapy and Oncology
  • Lecture Notes in Computer Science

The accumulation of 91 publications in computer science and 43 in engineering reflects the interdisciplinary nature of Grosu's research. Their expertise encompasses both theoretical foundations and practical applications within the fields stated above.

Best Publications

  • Monte Carlo model checking

    Radu Grosu;Scott A. Smolka

  • From MSCs to statecharts

    Ingolf Krüger;Radu Grosu;Peter Scholz;Manfred Broy

  • Modular Specification of Hybrid Systems in CHARON

    Rajeev Alur;Radu Grosu;Yerang Hur;Vijay Kumar

  • Liquid Time-constant Networks

    Ramin M. Hasani;Mathias Lechner;Alexander Amini;Daniela Rus

  • Neural circuit policies enabling auditable autonomy

    Mathias Lechner;Ramin Hasani;Ramin Hasani;Alexander Amini;Thomas A. Henzinger

  • Business Process Automation

    Subhra Bose;Steve Scimone;Nallan Sriraman;Ziyang Duan

  • Model repair for probabilistic systems

    Ezio Bartocci;Radu Grosu;Panagiotis Katsaros;C. R. Ramakrishnan

  • Runtime verification with state estimation

    Scott D. Stoller;Ezio Bartocci;Justin Seyster;Radu Grosu

  • A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

    Denise Ratasich;Faiq Khalid;Florian Geissler;Radu Grosu

  • SpaTeL: a novel spatial-temporal logic and its applications to networked systems

    Iman Haghighi;Austin Jones;Zhaodan Kong;Ezio Bartocci

  • From cardiac cells to genetic regulatory networks

    Radu Grosu;Gregory Batt;Flavio H. Fenton;James Glimm

  • Compositional Refinement for Hierarchical Hybrid Systems

    Rajeev Alur;Radu Grosu;Insup Lee;Oleg Sokolsky

  • JMOCHA: a model checking tool that exploits design structure

    R. Alur;L. de Alfaro;R. Grosu;T. A. Henzinger

  • Systems, Views and Models of UML

    Ruth Breu;Radu Grosu;Franz Huber;Bernhard Rumpe

  • On temporal logic and signal processing

    Alexandre Donzé;Oded Maler;Ezio Bartocci;Dejan Nickovic

  • Statistical Model Checking

    Axel Legay;Anna Lukina;Louis Marie Traonouez;Junxing Yang

  • Learning and detecting emergent behavior in networks of cardiac myocytes

    Radu Grosu;Scott A. Smolka;Flavio Corradini;Anita Wasilewska

  • Quantitative monitoring of STL with edit distance

    Stefan Jakšić;Stefan Jakšić;Ezio Bartocci;Radu Grosu;Thang Nguyen

  • Software monitoring with controllable overhead

    Xiaowan Huang;Justin Seyster;Sean Callanan;Ketan Dixit

  • Modelling excitable cells using cycle-linear hybrid automata

    P. Ye;E. Entcheva;S.A. Smolka;R. Grosu

  • Safety-liveness semantics for UML 2.0 sequence diagrams

    R. Grosu;S.A. Smolka

  • A Modular Visual Model for Hybrid Systems

    Radu Grosu;Thomas Stauner;Manfred Broy

  • Automatically generating a program

    Manfred Broy;Radu Grosu;Ingolf Krüger

Frequent Co-Authors

Scott A. Smolka
Scott A. Smolka Stony Brook University
Scott D. Stoller
Scott D. Stoller Stony Brook University
Erez Zadok
Erez Zadok Stony Brook University
Ashish Tiwari
Ashish Tiwari Microsoft (United States)
Rajeev Alur
Rajeev Alur University of Pennsylvania
Bernhard Rumpe
Bernhard Rumpe RWTH Aachen University
Manfred Broy
Manfred Broy Technical University of Munich
James Glimm
James Glimm Stony Brook University

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