World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10734
World Ranking
4846
National Ranking
2259

George Michailidis 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 George Michailidis 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: 307 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

George Michailidis 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 George Michailidis 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: 53 D-Index — 67th percentile

67% 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

  • 2010 - Fellow of the American Statistical Association (ASA)

Overview

George Michailidis is affiliated with the University of Florida in the United States. Their research primarily spans the field of Computer Science with contributions across various subfields including Artificial Intelligence, Molecular Biology, Statistics and Probability, Management Science and Operations Research, and Control and Systems Engineering.

The scientist's body of work addresses multiple topics, notably Statistical Methods and Inference, Metabolomics and Mass Spectrometry Studies, Advanced Bandit Algorithms Research, Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Bayesian Modeling and Causal Inference, and Fault Detection and Control Systems.

George Michailidis has published extensively with notable contributions to the following venues:

  • arXiv (Cornell University)
  • Statistica Sinica
  • Quality Engineering
  • Automatica
  • IEEE Transactions on Signal Processing

The researcher has collaborated frequently with several co-authors, including:

  • Abolfazl Safikhani (11 collaborations)
  • Jiahe Lin (9 collaborations)
  • Kshitij Khare (9 collaborations)
  • Subramaniam Pennathur (8 collaborations)
  • Davoud Ataee Tarzanagh (7 collaborations)

Among recent publications, the following papers stand out:

  • Gut microbiota dysbiosis and altered tryptophan catabolism contribute to autoimmunity in lupus-susceptible mice, 2020, Science Translational Medicine
  • Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease, 2021, Nature Reviews Nephrology
  • Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review, 2022, Frontiers in Genetics
  • DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization, 2022, IEEE Transactions on Signal Processing
  • Optimism-Based Adaptive Regulation of Linear-Quadratic Systems, 2020, IEEE Transactions on Automatic Control

George Michailidis has been recognized as a Fellow of the American Statistical Association (ASA) since 2010.

Best Publications

  • Joint estimation of multiple graphical models

    Jian Guo;Elizaveta Levina;George Michailidis;Ji Zhu

  • Critical limitations of consensus clustering in class discovery

    Yasin Șenbabaoğlu;Yasin Șenbabaoğlu;George Michailidis;Jun Z. Li

  • The Gifi system of descriptive multivariate analysis

    George Michailidis;Jan de Leeuw

  • Sequential Experiment Design for Contour Estimation From Complex Computer Codes

    Pritam Ranjan;Derek Bingham;George Michailidis

  • A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data

    Zi Yang;George Michailidis

  • Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications

    Kelli M. Sas;Pradeep Kayampilly;Jaeman Byun;Viji Nair

  • Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.

    Sumanta Basu;Sumanta Basu;William Duren;Charles R. Evans;Charles F. Burant

  • Discovering graphical Granger causality using the truncating lasso penalty

    Ali Shojaie;George Michailidis

  • Metabolomic Profiling Reveals Potential Markers and Bioprocesses Altered in Bladder Cancer Progression

    Nagireddy Putluri;Ali Shojaie;Ali Shojaie;Vihas T Vasu;Vihas T Vasu;Shaiju K Vareed

  • Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs

    Ali Shojaie;George Michailidis

  • Electric Power Allocation in a Network of Fast Charging Stations

    I. S. Bayram;G. Michailidis;M. Devetsikiotis;F. Granelli

  • Interconnectedness in the Interbank Market

    Celso Brunetti;Jeffrey H. Harris;Shawn Mankad;George Michailidis

  • Metabolomics and Diabetes: Analytical and Computational Approaches

    Kelli M. Sas;Alla Karnovsky;George Michailidis;Subramaniam Pennathur

  • Analysis of Gene Sets Based on the Underlying Regulatory Network

    Ali Shojaie;George Michailidis

  • Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer

    Amjad P. Khan;Laila M. Poisson;Vadiraja B. Bhat;Damian Fermin

  • Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease.

    Judy Baek;Chenchen He;Farsad Afshinnia;George Michailidis

  • Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks

    N. Katenka;E. Levina;G. Michailidis

  • LASS: a tool for the local analysis of self-similarity

    Stilian Stoev;Murad S. Taqqu;Cheolwoo Park;George Michailidis

  • Network tomography: A review and recent developments

    Earl Lawrence;George Michailidis;Vijayan N. Nair;Bowei Xi

  • Graph-Based Semisupervised Learning

    M. Culp;G. Michailidis

  • Electric Power Allocation in a Network of Fast Charging Stations

    I. Safak Bayram;George Michailidis;Michael Devetsikiotis;Fabrizio Granelli

  • A REVIEW AND RECENT DEVELOPMENTS

    Earl Lawrence;George Michailidis;Vijayan N. Nair

  • Estimation in High-dimensional Vector Autoregressive Models

    Sumanta Basu;George Michailidis

Frequent Co-Authors

Nagireddy Putluri
Nagireddy Putluri Baylor College of Medicine
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor
Michael Devetsikiotis
Michael Devetsikiotis University of New Mexico
Elizaveta Levina
Elizaveta Levina University of Michigan–Ann Arbor
Michael Ittmann
Michael Ittmann Baylor College of Medicine
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor
Jan de Leeuw
Jan de Leeuw University of California, Los Angeles
Philip C. Andrews
Philip C. Andrews University of Michigan–Ann Arbor
Cristian Coarfa
Cristian Coarfa Baylor College of Medicine

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