World's Best Scientists 2026 revealed!
Stavroula G. Mougiakakou

Stavroula G. Mougiakakou

D-Index & Metrics

Computer Science

D-Index
37
Citations
6057
World Ranking
10727
National Ranking
188

Stavroula G. Mougiakakou 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 Stavroula G. Mougiakakou 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Stavroula G. Mougiakakou 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 Stavroula G. Mougiakakou 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

Stavroula G. Mougiakakou is affiliated with the University of Bern in Switzerland, focusing primarily on medicine with an emphasis on various subfields such as public health, environmental and occupational health, radiology, nuclear medicine and imaging, endocrinology, diabetes and metabolism, biomedical engineering, and pulmonary and respiratory medicine.

Their research portfolio encompasses a range of topics, including nutritional studies and diet, diabetes management and research, advanced chemical sensor technologies, mobile health and mHealth applications, COVID-19 diagnosis using artificial intelligence, radiomics and machine learning in medical imaging, and diet and metabolism studies.

Among recent publications, several notable papers include:

  • goFOODTM: An Artificial Intelligence System for Dietary Assessment, 2020, Sensors
  • An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients, 2020, IEEE Transactions on Multimedia
  • What Healthcare Professionals Think of "Nutrition & Diet" Apps: An International Survey, 2020, Nutrients
  • Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP), 2020, PLoS ONE
  • Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study, 2021, JMIR mhealth and uhealth

Frequent co-authors collaborating with Mougiakakou include:

  • Lorenzo Brigato
  • Ioannis Papathanail
  • Thomai Stathopoulou
  • Maria F. Vasiloglou
  • Ya Lu

Publication outlets where Mougiakakou has contributed extensively include:

  • arXiv (Cornell University)
  • Nutrients
  • Investigative Radiology
  • JMIR mhealth and uhealth
  • IEEE Access

Overall, Stavroula G. Mougiakakou's work integrates interdisciplinary approaches within medicine, combining artificial intelligence, nutritional science, and medical imaging techniques to address challenges in disease management and health monitoring.

Best Publications

  • Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

    Marios Anthimopoulos;Stergios Christodoulidis;Lukas Ebner;Andreas Christe

  • A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier

    M. Gletsos;S.G. Mougiakakou;G.K. Matsopoulos;K.S. Nikita

  • Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.

    Stergios Christodoulidis;Marios Anthimopoulos;Lukas Ebner;Andreas Christe

  • A food recognition system for diabetic patients based on an optimized bag-of-features model

    Marios M. Anthimopoulos;Lauro Gianola;Luca Scarnato;Peter Diem

  • Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network

    Qingnan Sun;Marko V. Jankovic;Lia Bally;Stavroula G. Mougiakakou

  • Computer aided diagnosis based on medical image processing and artificial intelligence methods

    John Stoitsis;Ioannis Valavanis;Stavroula G. Mougiakakou;Spyretta Golemati

  • Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers

    Stavroula G. Mougiakakou;Ioannis K. Valavanis;Alexandra Nikita;Konstantina S. Nikita

  • Two-View 3D Reconstruction for Food Volume Estimation

    Joachim Dehais;Marios Anthimopoulos;Sergey Shevchik;Stavroula Mougiakakou

  • Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.

    Andreas Christe;Alan Arthur Peters;Dionysios Drakopoulos;Johannes Heverhagen

  • SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients

    Stavroula G Mougiakakou;Christos S Bartsocas;Evangelos Bozas;Nikos Chaniotakis

  • Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis

    Stergios Christodoulidis;Marios Anthimopoulos;Lukas Ebner;Andreas Christe

  • Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws' texture and neural networks

    Stavroula G R Mougiakakou;Spyretta Golemati;Ioannis Gousias;Andrew N Nicolaides

  • Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study.

    Daniel Kaspar Rhyner;Hannah Loher;Joachim Blaise Dehais;Marios Anthimopoulos

  • An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

    K. Zarkogianni;A. Vazeou;S. G. Mougiakakou;A. Prountzou

  • Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks

    Marios Anthimopoulos;Stergios Christodoulidis;Lukas Ebner;Thomas Geiser

  • Neural network based glucose - insulin metabolism models for children with Type 1 diabetes.

    Stavroula G. Mougiakakou;Aikaterini Prountzou;Dimitra Iliopoulou;Konstantina S. Nikita

  • Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones:

    Marios Anthimopoulos;Joachim Dehais;Sergey Shevchik;Botwey H. Ransford

  • Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks

    Stergios Christodoulidis;Marios Anthimopoulos;Stavroula G. Mougiakakou

  • goFOODTM: An Artificial Intelligence System for Dietary Assessment.

    Ya Lu;Thomai Stathopoulou;Maria F. Vasiloglou;Lillian F. Pinault

  • Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients.

    Elena Daskalaki;Aikaterini Prountzou;Peter Diem;Stavroula G Mougiakakou

  • An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients

    Ya Lu;Thomai Stathopoulou;Maria F. Vasiloglou;Stergios Christodoulidis

  • Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes

    Elena Daskalaki;Peter Diem;Stavroula G. Mougiakakou

  • Segmentation and recognition of multi-food meal images for carbohydrate counting

    Marios Anthimopoulos;Joachim Dehais;Peter Diem;Stavroula Mougiakakou

Frequent Co-Authors

Konstantina S. Nikita
Konstantina S. Nikita National Technical University of Athens
Giovanni Maria Farinella
Giovanni Maria Farinella University of Catania
Keiji Yanai
Keiji Yanai University of Electro-Communications
Nikos Paragios
Nikos Paragios CentraleSupélec
Paul Cumming
Paul Cumming Queensland University of Technology
Constantinos S. Pattichis
Constantinos S. Pattichis University of Cyprus
Heiko Schöder
Heiko Schöder Memorial Sloan Kettering Cancer Center
Edward Sazonov
Edward Sazonov University of Alabama
Dimitrios I. Fotiadis
Dimitrios I. Fotiadis University of Ioannina
Andreas Pitsillides
Andreas Pitsillides University of Cyprus

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