World's Best Scientists 2026 revealed!
Evgenia Smirni

Evgenia Smirni

D-Index & Metrics

Computer Science

D-Index
44
Citations
5864
World Ranking
7707
National Ranking
3327

Evgenia Smirni 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 Evgenia Smirni 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Evgenia Smirni 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 Evgenia Smirni 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to modeling and performance forecasting of complex systems
  • 2013 - ACM Distinguished Member

Overview

Evgenia Smirni is affiliated with William & Mary in the United States and is active in research primarily within the field of computer science. Their work encompasses several subfields, including computer networks and communications, information systems, artificial intelligence, electrical and electronic engineering, and hardware and architecture.

The scientist's main research topics focus on cloud computing and resource management, radiation effects in electronics, parallel computing and optimization techniques, distributed systems and fault tolerance, advanced data storage technologies, data stream mining techniques, and COVID-19 epidemiological studies.

Recent notable papers by Evgenia Smirni include:

  • Optimizing inference serving on serverless platforms, 2022, Proceedings of the VLDB Endowment
  • Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults, 2020, IEEE Transactions on Computers
  • CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics, 2020, IEEE Transactions on Network and Service Management
  • Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction Models, 2021, IEEE Transactions on Dependable and Secure Computing
  • SUGAR, 2021, Proceedings of the ACM on Measurement and Analysis of Computing Systems

Frequent coauthors in their work include Lishan Yang, Riccardo Pinciroli, Anna Schmedding, Bin Nie, and Adwait Jog.

Evgenia Smirni's publications often appear in venues such as arXiv (Cornell University), ACM SIGMETRICS Performance Evaluation Review, Proceedings of the VLDB Endowment, IEEE Transactions on Computers, and IEEE Transactions on Network and Service Management.

The scientist has received recognition in the form of awards, including being named an IEEE Fellow in 2020 for contributions to modeling and performance forecasting of complex systems. They were also recognized as an ACM Distinguished Member in 2013.

Best Publications

  • A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications

    Qi Zhang;L. Cherkasova;E. Smirni

  • Workload-aware load balancing for clustered Web servers

    Qi Zhang;A. Riska;W. Sun;E. Smirni

  • Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change

    L. Cherkasova;K. Ozonat;Ningfang Mi;J. Symons

  • Multiple-Queue Backfilling Scheduling with Priorities and Reservations for Parallel Systems

    Barry G. Lawson;Evgenia Smirni

  • BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching

    Ahsan Ali;Riccardo Pinciroli;Feng Yan;Evgenia Smirni

  • Burstiness in multi-tier applications: symptoms, causes, and new models

    Ningfang Mi;Giuliano Casale;Ludmila Cherkasova;Evgenia Smirni

  • EQUILOAD: a load balancing policy for clustered web servers

    Gianfranco Ciardo;Alma Riska;Evgenia Smirni

  • Workload Characterization of Input/Output Intensive Parallel Applications

    Evgenia Smirni;Daniel A. Reed

  • Robust partitioning policies of multiprocessor systems

    E. Rosti;E. Smirni;L. W. Dowdy;G. Serazzi

  • Automated anomaly detection and performance modeling of enterprise applications

    Ludmila Cherkasova;Kivanc Ozonat;Ningfang Mi;Julie Symons

  • I/O requirements of scientific applications: an evolutionary view

    E. Smirni;R.A. Aydt;A.A. Chien;D.A. Reed

  • Injecting realistic burstiness to a traditional client-server benchmark

    Ningfang Mi;Giuliano Casale;Ludmila Cherkasova;Evgenia Smirni

  • A large-scale study of soft-errors on GPUs in the field

    Bin Nie;Devesh Tiwari;Saurabh Gupta;Evgenia Smirni

  • Trace data characterization and fitting for Markov modeling

    Giuliano Casale;Eddy Z. Zhang;Evgenia Smirni

  • Lessons from characterizating the input/output behavior of parallel scientific applications

    E. Smirni;D. A. Reed

  • An EM-based technique for approximating long-tailed data sets with PH distributions

    Alma Riska;Vesselin Diev;Evgenia Smirni

  • The impact of I/O on program behavior and parallel scheduling

    Emilia Rosti;Giuseppe Serazzi;Evgenia Smirni;Mark S. Squillante

  • Performance impacts of autocorrelated flows in multi-tiered systems

    Ningfang Mi;Qi Zhang;Alma Riska;Evgenia Smirni

  • KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes

    G. Casale;E.Z. Zhang;E. Smirni

  • A regression-based analytic model for capacity planning of multi-tier applications

    Qi Zhang;Ludmila Cherkasova;Ningfang Mi;Evgenia Smirni

  • ADAPTLOAD: effective balancing in clustered web servers under transient load conditions

    A. Riska;Wei Sun;E. Smirni;G. Ciardo

Frequent Co-Authors

Giuliano Casale
Giuliano Casale Imperial College London
Gianfranco Ciardo
Gianfranco Ciardo Iowa State University
Walter Binder
Walter Binder Universita della Svizzera Italiana
Daniel A. Reed
Daniel A. Reed University of Utah
Yuxiong He
Yuxiong He Microsoft (United States)
Andrew A. Chien
Andrew A. Chien University of Chicago
Mark S. Squillante
Mark S. Squillante IBM (United States)
Guofei Jiang
Guofei Jiang Princeton University
Kenneth C. Sevcik
Kenneth C. Sevcik University of Toronto

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