World's Best Scientists 2026 revealed!
Constantin F. Aliferis

Constantin F. Aliferis

D-Index & Metrics

Computer Science

D-Index
41
Citations
12075
World Ranking
8621
National Ranking
3695

Constantin F. Aliferis 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 Constantin F. Aliferis 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Constantin F. Aliferis 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 Constantin F. Aliferis 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Constantin F. Aliferis is affiliated with the University of Minnesota in the United States. Their research has spanned multiple fields, primarily focusing on Medicine, Biochemistry, Genetics and Molecular Biology, and Computer Science.

The scientist's work includes studies on subfields such as Molecular Biology, Artificial Intelligence, Health Informatics, Statistics and Probability, and Genetics. Key topics addressed in their publications involve extracellular vesicles in disease, artificial intelligence applications in healthcare and education, explainable artificial intelligence (XAI), ethics in clinical research, meta-analysis and systematic reviews, and machine learning in healthcare.

Constantin F. Aliferis has coauthored frequently with several researchers. Notable frequent collaborators include:

  • Sisi Ma
  • György Simon
  • Virginia B. Kraus
  • Xin Zhang
  • Erik J. Soderblom

Their work appears in diverse publication venues, with repeated contributions to Scientific Reports and Osteoarthritis and Cartilage. Other venues where their research has been published include bioRxiv (Cold Spring Harbor Laboratory), Clinical Immunology, and Annals of Surgery.

Selected recent papers authored or coauthored by Constantin F. Aliferis include:

  • Bariatric Surgery is Associated With Decreased Progression of Nonalcoholic Fatty Liver Disease to Cirrhosis, 2020, Annals of Surgery
  • Comprehensive characterization of pathogenic synovial fluid extracellular vesicles from knee osteoarthritis, 2023, Clinical Immunology
  • Pharmacogenomics Education, Research and Clinical Implementation in the State of Minnesota, 2021, Pharmacogenomics
  • Computational causal discovery for post-traumatic stress in police officers, 2020, Translational Psychiatry
  • Prediction of clinical trial enrollment rates, 2022, PLoS ONE

In addition to journal publications, Constantin F. Aliferis has contributed to book publications in the field of Health Informatics. A notable book includes Artificial Intelligence and Machine Learning in Health Care and Medical Sciences, published in 2024.

Best Publications

  • The max-min hill-climbing Bayesian network structure learning algorithm

    Ioannis Tsamardinos;Laura E. Brown;Constantin F. Aliferis

  • A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

    Alexander Statnikov;Constantin F. Aliferis;Ioannis Tsamardinos;Douglas Hardin

  • A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

    Alexander R. Statnikov;Lily Wang;Constantin F. Aliferis

  • Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

    Constantin F. Aliferis;Alexander Statnikov;Ioannis Tsamardinos;Subramani Mani

  • Algorithms for Large Scale Markov Blanket Discovery

    Ioannis Tsamardinos;Constantin F. Aliferis;Alexander R. Statnikov

  • Time and sample efficient discovery of Markov blankets and direct causal relations

    Ioannis Tsamardinos;Constantin F. Aliferis;Alexander Statnikov

  • HITON: a novel Markov Blanket algorithm for optimal variable selection.

    Constantin F. Aliferis;Ioannis Tsamardinos;Alexander R. Statnikov

  • Towards Principled Feature Selection: Relevancy, Filters and Wrappers

    Ioannis Tsamardinos;Constantin F. Aliferis

  • Studies in Health Technology and Informatics

    Yin Aphinyanaphongs;Constantin Aliferis

  • An Evaluation of Machine-Learning Methods for Predicting Pneumonia Mortality

    Gregory F. Cooper;Constantin F. Aliferis;Richard Ambrosino;John M. Aronis

  • GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.

    Alexander R. Statnikov;Ioannis Tsamardinos;Yerbolat Dosbayev;Constantin F. Aliferis

  • Text Categorization Models for High-Quality Article Retrieval in Internal Medicine

    Yindalon Aphinyanaphongs;Ioannis Tsamardinos;Alexander R. Statnikov;Douglas P. Hardin

  • Medical decision support using machine learning for early detection of late-onset neonatal sepsis.

    Subramani Mani;Asli Ozdas;Constantin F. Aliferis;Huseyin Atakan Varol

  • Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions

    Constantin F. Aliferis;Alexander Statnikov;Ioannis Tsamardinos;Subramani Mani

  • A comprehensive evaluation of multicategory classification methods for microbiomic data

    Alexander Statnikov;Mikael Henaff;Varun Narendra;Kranti Konganti

  • Causal Feature Selection

    Isabelle Guyon;Constantin Aliferis;Andre´ Elisseeff

  • Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.

    Constantin F. Aliferis;Ioannis Tsamardinos;Alexander R. Statnikov;Laura E. Brown

  • Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature

    Lawrence D. Fu;Constantin F. Aliferis

  • Using Citation Data to Improve Retrieval from MEDLINE

    Elmer V. Bernstam;Jorge R. Herskovic;Yindalon Aphinyanaphongs;Constantin F. Aliferis

  • Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

    Alexander Statnikov;Alexander V. Alekseyenko;Zhiguo Li;Mikael Henaff

  • Design and Analysis of the Causation and Prediction Challenge

    Isabelle Guyon;Constantin F. Aliferis;Gregory F. Cooper;André Elisseeff

Frequent Co-Authors

Alexander Statnikov
Alexander Statnikov Vanderbilt University
Douglas P. Hardin
Douglas P. Hardin Vanderbilt University
Ioannis Tsamardinos
Ioannis Tsamardinos University of Crete
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh
Randolph A. Miller
Randolph A. Miller Vanderbilt University
Sean C. Dowdy
Sean C. Dowdy Mayo Clinic
Jalid Sehouli
Jalid Sehouli Charité - University Medicine Berlin
Bruce G. Buchanan
Bruce G. Buchanan University of Pittsburgh
Martin J. Blaser
Martin J. Blaser Rutgers, The State University of New Jersey

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

Exploring Computer Science in the USA opens doors to a wide range of online degree options and career pathways. Many students seek cost-effective programs, and choosing the cheapest mba online can be a smart move for those interested in tech leadership or management roles after graduation.

If you’re looking to advance your education quickly, online one year masters programs provide an accelerated route to gain specialized skills and credentials. Similarly, those who want to enter the workforce faster may explore the fastest online degree options, designed to help you start a high-paying career in less time.

Artificial intelligence is another fast-growing field closely connected to computer science. If AI interests you, check out the cheapest online masters in artificial intelligence to find programs that balance affordability with cutting-edge coursework.

Whether you’re starting out or looking to specialize, these related online degrees and career pathways offer flexible, affordable, and fast options to help you reach your goals.

Best Scientists Citing Constantin F. Aliferis

Trending Scientists

Recently Published Articles