World's Best Scientists 2026 revealed!
Malgorzata Steinder

Malgorzata Steinder

D-Index & Metrics

Computer Science

D-Index
37
Citations
6238
World Ranking
10701
National Ranking
4473

Malgorzata Steinder 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 Malgorzata Steinder 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Malgorzata Steinder 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 Malgorzata Steinder 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Malgorzata Steinder is affiliated with IBM in the United States. Their research contributions primarily focus on the field of Computer Science with particular attention to subfields such as Computer Networks and Communications and Information Systems.

The main topics of Steinder's work encompass Cloud Computing and Resource Management, Software-Defined Networks and 5G, and Advanced Data Storage Technologies. These areas detail a research interest in the management and orchestration of computing resources, network technologies, and data storage innovations.

The scientist's publication record includes work published in the Journal of Cloud Computing Advances Systems and Applications. One notable paper authored in 2021 is titled "DRMaestro: orchestrating disaggregated resources on virtualized data-centers," which has garnered citations since its publication.

  • DRMaestro: orchestrating disaggregated resources on virtualized data-centers (2021), Journal of Cloud Computing Advances Systems and Applications

Steinder has collaborated with several frequent co-authors, reflecting an interdisciplinary and networked approach to research. These co-authors include Marcelo Amaral, Jordà Polo, David Carrera, Nelson Mimura Gonzalez, and Chih-Chieh Yang.

  • Marcelo Amaral
  • Jordà Polo
  • David Carrera
  • Nelson Mimura Gonzalez
  • Chih-Chieh Yang

Their research outputs and collaborations contribute to a concentrated body of knowledge within cloud computing resource orchestration and networked system advancements. The focus on virtualization and disaggregated resource management positions Steinder's work in the context of evolving infrastructure technologies relevant to both academic and industrial applications.

Best Publications

  • A survey of fault localization techniques in computer networks

    Ma łgorzata Steinder;Adarshpal S. Sethi

  • A scalable application placement controller for enterprise data centers

    Chunqiang Tang;Malgorzata Steinder;Michael Spreitzer;Giovanni Pacifici

  • Performance-driven task co-scheduling for MapReduce environments

    Jorda Polo;David Carrera;Yolanda Becerra;Malgorzata Steinder

  • Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-Aware Virtual Machine Placement

    Deepal Jayasinghe;Calton Pu;Tamar Eilam;Malgorzata Steinder

  • See spot run: using spot instances for mapreduce workflows

    Navraj Chohan;Claris Castillo;Mike Spreitzer;Malgorzata Steinder

  • Dynamic placement for clustered web applications

    A. Karve;T. Kimbrel;G. Pacifici;M. Spreitzer

  • Probabilistic fault localization in communication systems using belief networks

    Małgorzata Steinder;Adarshpal S. Sethi

  • Performance Evaluation of Microservices Architectures Using Containers

    Marcelo Amaral;Jorda Polo;David Carrera;Iqbal Mohomed

  • Management of heterogeneous workloads

    David Michael Chess;Malgorzata Steinder;Ian Nicholas Whalley

  • Resource-aware adaptive scheduling for mapreduce clusters

    Jordà Polo;Claris Castillo;David Carrera;Yolanda Becerra

  • Server virtualization in autonomic management of heterogeneous workloads

    M. Steinder;I. Whalley;D. Carrera;I. Gaweda

  • Virtual machine demand estimation

    Isci Canturk;James E. Hanson;Jeffrey O. Kephart;Malgorzata Steinder

  • Dynamic application placement under service and memory constraints

    Tracy Kimbrel;Malgorzata Steinder;Maxim Sviridenko;Asser Tantawi

  • Probabilistic fault diagnosis in communication systems through incremental hypothesis updating

    M. Steinder;A. S. Sethi

  • Coordinating service performance and application placement management

    Asser N. Tantawi;Giovanni Pacifici;Michael Spreitzer;Malgorzata Steinder

  • End-to-end service failure diagnosis using belief networks

    M. Steinder;A.S. Sethi

  • Method and apparatus for load balancing with server state change awareness

    Ying Lu;Giovanni Pacifici;Malgorzata Steinder;Asser Nasreldin Tantawi

  • Utility-based placement of dynamic Web applications with fairness goals

    D. Carrera;M. Steinder;I. Whalley;J. Torres

  • Increasing robustness of fault localization through analysis of lost, spurious, and positive symptoms

    M. Steinder;A.S. Sethi

  • Systems and methods for coordinated management of power usage and runtime performance in performance-managed computing environments

    James E. Hanson;Jeffrey Owen Kephart;Malgorzata Steinder;Ian Nicholas Whalley

  • Server virtualization in autonomic management of heterogeneous workloads

    Malgorzata Steinder;Ian Whalley;David Chess

Frequent Co-Authors

Asser N. Tantawi
Asser N. Tantawi IBM (United States)
Giovanni Pacifici
Giovanni Pacifici IBM (United States)
Eduard Ayguadé
Eduard Ayguadé Barcelona Supercomputing Center
Jordi Torres
Jordi Torres Universitat Politècnica de Catalunya
Chunqiang Tang
Chunqiang Tang Facebook (United States)
David M. Chess
David M. Chess IBM (United States)
Jeffrey O. Kephart
Jeffrey O. Kephart IBM (United States)
Manish Parashar
Manish Parashar University of Utah
Maxim Sviridenko
Maxim Sviridenko Yahoo (United States)

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