World's Best Scientists 2026 revealed!
Erik Elmroth

Erik Elmroth

D-Index & Metrics

Computer Science

D-Index
42
Citations
8426
World Ranking
8312
National Ranking
61

Erik Elmroth 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 Erik Elmroth 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Erik Elmroth 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 Erik Elmroth 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Erik Elmroth is affiliated with Umeå University in Sweden and has contributed extensively to the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing, and Control and Systems Engineering.

Their research spans various topics, prominently featuring Network Security and Intrusion Detection, Cloud Computing and Resource Management, Privacy-Preserving Technologies in Data, Anomaly Detection Techniques and Applications, Software System Performance and Reliability, Internet Traffic Analysis and Secure E-voting, and Advanced Malware Detection Techniques.

Elmroth's recent publications include several papers published between 2021 and 2024. These are:

  • DeL-IoT: A deep ensemble learning approach to uncover anomalies in IoT, 2021, Internet of Things
  • Deep Reinforcement Learning for Resource Management in Blockchain-Enabled Federated Learning Network, 2022, IEEE Networking Letters
  • Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach, 2022, IEEE Internet of Things Journal
  • Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach, 2020, arXiv (Cornell University)
  • FloRa: Flow Table Low-Rate Overflow Reconnaissance and Detection in SDN, 2024, IEEE Transactions on Network and Service Management

Elmroth has collaborated frequently with several co-authors over their career. Notable collaborators include Monowar Bhuyan, Cristian Klein, Eunil Seo, Dusit Niyato, and Thijs Metsch.

Their scholarly output has been published mainly in venues such as arXiv (Cornell University), IEEE Transactions on Network and Service Management, IEEE Access, IEEE Internet of Things Journal, and ACM Computing Surveys.

Throughout their career, Elmroth has focused on addressing complex problems within network security, resource management, and privacy-preserving solutions, contributing to the evolution of these domains through both theoretical and applied research.

Best Publications

  • The reservoir model and architecture for open federated cloud computing

    B. Rochwerger;D. Breitgand;E. Levy;A. Galis

  • OPTIMIS: A holistic approach to cloud service provisioning

    Ana Juan Ferrer;Francisco HernáNdez;Johan Tordsson;Erik Elmroth

  • An adaptive hybrid elasticity controller for cloud infrastructures

    Ahmed Ali-Eldin;Johan Tordsson;Erik Elmroth

  • Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software

    Erik Elmroth;Fred G. Gustavson;Isak Jonsson;Bo Kågström

  • Evaluation of delta compression techniques for efficient live migration of large virtual machines

    Petter Svärd;Benoit Hudzia;Johan Tordsson;Erik Elmroth

  • Performance Anomaly Detection and Bottleneck Identification

    Olumuyiwa Ibidunmoye;Francisco Hernández-Rodriguez;Erik Elmroth

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformations

    Alan Edelman;Erik Elmroth;Bo Kågström

  • MicroRCA: Root Cause Localization of Performance Issues in Microservices

    Li Wu;Johan Tordsson;Erik Elmroth;Odej Kao

  • Applying recursion to serial and parallel QR factorization leads to better performance

    E. Elmroth;F. G. Gustavson

  • Accounting and Billing for Federated Cloud Infrastructures

    Erik Elmroth;Fermin Galan Marquez;Daniel Henriksson;David Perales Ferrera

  • Self-management Challenges for Multi-cloud Architectures (Invited Paper)

    Erik Elmroth;Johan Tordsson;Francisco Hernandez;Ahmed Ali-Eldin

  • Grid resource brokering algorithms enabling advance reservations and resource selection based on performance predictions

    Erik Elmroth;Johan Tordsson

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification-Enhanced Staircase Algorithm

    Alan Edelman;Erik Elmroth;Bo KÅgström

  • Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control

    Ahmed Ali-Eldin;Maria Kihl;Johan Tordsson;Erik Elmroth

  • A grid resource broker supporting advance reservations and benchmark-based resource selection

    Erik Elmroth;Johan Tordsson

  • A virtual machine re-packing approach to the horizontal vs. vertical elasticity trade-off for cloud autoscaling

    Mina Sedaghat;Francisco Hernandez-Rodriguez;Erik Elmroth

  • Modeling for Dynamic Cloud Scheduling Via Migration of Virtual Machines

    Wubin Li;Johan Tordsson;Erik Elmroth

  • A standards-based Grid resource brokering service supporting advance reservations, coallocation, and cross-Grid interoperability

    Erik Elmroth;Johan Tordsson

  • Three fundamental dimensions of scientific workflow interoperability: Model of computation, language, and execution environment

    Erik Elmroth;Francisco Hernández;Johan Tordsson

  • Interfaces for Placement, Migration, and Monitoring of Virtual Machines in Federated Clouds

    Erik Elmroth;Lars Larsson

Frequent Co-Authors

Johan Tordsson
Johan Tordsson Umeå University
Bo Kågström
Bo Kågström Umeå University
Karl-Erik Årzén
Karl-Erik Årzén Lund University
Fred G. Gustavson
Fred G. Gustavson Umeå University
Ignacio M. Llorente
Ignacio M. Llorente Complutense University of Madrid
Alex Galis
Alex Galis University College London
Wolfgang Emmerich
Wolfgang Emmerich University College London
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Yu-Shu Wu
Yu-Shu Wu Colorado School of Mines

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