World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7215
World Ranking
8025
National Ranking
394

Samuel Kounev 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 Samuel Kounev 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: 297 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Samuel Kounev 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 Samuel Kounev 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Samuel Kounev is affiliated with the University of Würzburg in Germany. Their research output spans key areas in computer science and engineering, with a specific focus on software system performance and reliability, IoT and edge/fog computing, cloud computing and resource management, and time series analysis and forecasting.

The scientist has contributed extensively to various subfields, prominently computer networks and communications, information systems, artificial intelligence, computer vision and pattern recognition, and industrial and manufacturing engineering.

Frequent publication venues for Kounev include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Systems and Software
  • Communications of the ACM
  • Applied Intelligence

Notable recent papers authored or co-authored by Samuel Kounev are:

  • An Overview on Approaches for Coordination of Platoons (2021, IEEE Transactions on Intelligent Transportation Systems)
  • A literature review of IoT and CPS-What they are, and what they are not (2023, Journal of Systems and Software)
  • A Survey on Predictive Maintenance for Industry 4.0 (2020, arXiv (Cornell University))
  • People Detection with Depth Silhouettes and Convolutional Neural Networks on a Mobile Robot (2021, Journal of Image and Graphics)
  • A machine learning-based workflow for automatic detection of anomalies in machine tools (2021, ISA Transactions)

Samuel Kounev has also collaborated frequently with several researchers, including:

  • Christian Krupitzer
  • André Bauer
  • Veronika Lesch
  • Thomas Prantl
  • Robert Leppich

The main research topics covered in their work involving multiple publications include:

  • Software System Performance and Reliability
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Time Series Analysis and Forecasting
  • Software Engineering Research
  • Cryptography and Data Security
  • Security in Wireless Sensor Networks

Best Publications

  • Elasticity in Cloud Computing: What It Is, and What It Is Not.

    Nikolas Roman Herbst;Samuel Kounev;Ralf H. Reussner

  • Self-adaptive workload classification and forecasting for proactive resource provisioning

    Nikolas Roman Herbst;Nikolaus Huber;Samuel Kounev;Erich Amrehn

  • Performance Modeling and Evaluation of Distributed Component-Based Systems Using Queueing Petri Nets

    S. Kounev

  • Evaluating Computer Intrusion Detection Systems: A Survey of Common Practices

    Aleksandar Milenkoski;Marco Vieira;Samuel Kounev;Alberto Avritzer

  • Metrics and techniques for quantifying performance isolation in cloud environments

    Rouven Krebs;Christof Momm;Samuel Kounev

  • EVALUATING AND MODELING VIRTUALIZATION PERFORMANCE OVERHEAD FOR CLOUD ENVIRONMENTS

    Nikolaus Huber;Marcel von Quast;Michael Hauck;Samuel Kounev

  • ARCHITECTURAL CONCERNS IN MULTI-TENANT SaaS APPLICATIONS

    Rouven Krebs;Christof Momm;Samuel Kounev

  • TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research

    Joakim von Kistowski;Simon Eismann;Norbert Schmitt;Andre Bauer

  • Performance modelling of distributed e-business applications using Queuing Petri Nets

    S. Kounev;A. Buchmann

  • SimQPN: a tool and methodology for analyzing queueing Petri net models by means of simulation

    Samuel Kounev;Alejandro Buchmann

  • Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud

    Florian Metzger;Tobias Hobfeld;Andre Bauer;Samuel Kounev

  • The Notion of Self-aware Computing

    Samuel Kounev;Peter R. Lewis;Kirstie L. Bellman;Nelly Bencomo

  • An overview on approaches for coordination of platoons

    Veronika Lesch;Martin Breitbach;Michele Segata;Christian Becker

  • Automated extraction of architecture-level performance models of distributed component-based systems

    Fabian Brosig;Nikolaus Huber;Samuel Kounev

  • Performance evaluation of message-oriented middleware using the SPECjms2007 benchmark

    Kai Sachs;Samuel Kounev;Jean Bacon;Alejandro Buchmann

  • Performance modeling and evaluation of large-scale J2EE applications

    Samuel Kounev;Alejandro P. Buchmann

  • Evaluating Approaches to Resource Demand Estimation

    Simon Spinner;Giuliano Casale;Fabian Brosig;Samuel Kounev

  • Model-based self-adaptive resource allocation in virtualized environments

    Nikolaus Huber;Fabian Brosig;Samuel Kounev

  • Towards Self-Aware Performance and Resource Management in Modern Service-Oriented Systems

    Samuel Kounev;Fabian Brosig;Nikolaus Huber;Ralf Reussner

  • Quantitative Evaluation of Model-Driven Performance Analysis and Simulation of Component-Based Architectures

    Fabian Brosig;Philipp Meier;Steffen Becker;Anne Koziolek

  • Automated extraction of palladio component models from running enterprise Java applications

    Fabian Brosig;Samuel Kounev;Klaus Krogmann

Frequent Co-Authors

Alejandro Buchmann
Alejandro Buchmann Technical University of Darmstadt
Ralf Reussner
Ralf Reussner Karlsruhe Institute of Technology
Marco Vieira
Marco Vieira University of North Carolina at Charlotte
Alexandru Iosup
Alexandru Iosup Vrije Universiteit Amsterdam
Holger Giese
Holger Giese Hasso Plattner Institute
Phuoc Tran-Gia
Phuoc Tran-Gia University of Würzburg
Nelly Bencomo
Nelly Bencomo Durham University
Florian Rosenberg
Florian Rosenberg IBM (United States)
Wilhelm Hasselbring
Wilhelm Hasselbring Kiel University

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

Pursuing a degree in computer science opens up many interconnected fields, and online learning makes them more accessible than ever. If you are interested in broadening your expertise, there are a variety of affordable options in related disciplines.

For those with a passion for all things mechanical, consider reviewing the mechanical engineering cost of education to compare tuition rates and find programs that suit your budget.

Alternatively, students seeking a strong analytical or research-based background might be drawn to a physics degree online. Online physics degrees can be a practical way to integrate theoretical knowledge with real-world applications.

As data continues to drive decision-making, the demand for data scientists is on the rise. Explore your potential in this field by learning about the requirements of a data scientist degree and available career paths.

Lastly, if you’re interested in the dynamic world of circuits, signals, and power systems, discover the top online electrical engineering schools for a flexible and accredited pathway into electrical engineering.

Best Scientists Citing Samuel Kounev

Trending Scientists

Recently Published Articles