World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7317
World Ranking
9253
National Ranking
68

Manolis Tsiknakis 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 Manolis Tsiknakis 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: 300 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Manolis Tsiknakis 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 Manolis Tsiknakis 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Manolis Tsiknakis is affiliated with the Foundation for Research and Technology Hellas in Greece, contributing notably to fields intersecting medicine and computer science. Their research spans multiple disciplines with a primary focus on medical imaging, artificial intelligence, and biomedical engineering.

The main fields of study for Tsiknakis include:

  • Medicine (115 publications)
  • Computer Science (66 publications)

Within these areas, they work on several subfields such as:

  • Radiology, Nuclear Medicine and Imaging (32 publications)
  • Computer Vision and Pattern Recognition (29 publications)
  • Pulmonary and Respiratory Medicine (28 publications)
  • Biomedical Engineering (23 publications)
  • Artificial Intelligence (22 publications)

Their research addresses specific topics including:

  • Radiomics and Machine Learning in Medical Imaging (48 publications)
  • Prostate Cancer Diagnosis and Treatment (30 publications)
  • Gaze Tracking and Assistive Technology (24 publications)
  • Artificial Intelligence in Healthcare and Education (24 publications)
  • AI in Cancer Detection (22 publications)
  • Emotion and Mood Recognition (18 publications)
  • Advanced Neural Network Applications (18 publications)

Among recent publications authored or co-authored by Tsiknakis are:

  • "Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes", 2021, published in IEEE Reviews in Biomedical Engineering
  • "FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare", 2025, published in BMJ
  • "Automatic assessment of pain based on deep learning methods: A systematic review", 2023, published in Computer Methods and Programs in Biomedicine
  • "The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients", 2021, published in Sensors
  • "Multi-Modal Deep Learning Diagnosis of Parkinson's Disease-A Systematic Review", 2023, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering

The scientist collaborates frequently with a number of co-authors, including:

  • Kostas Marias (49 joint publications)
  • Nikolaos S. Tachos (45 joint publications)
  • Vasileios Skaramagkas (34 joint publications)
  • Dimitrios I. Fotiadis (30 joint publications)
  • Dimitrios I. Fotiadis (29 joint publications)

Tsiknakis's work has appeared in several publication venues, with notable frequency in:

  • Zenodo (CERN European Organization for Nuclear Research) - 15 publications
  • arXiv (Cornell University) - 8 publications
  • Insights into Imaging - 7 publications
  • Sensors - 6 publications
  • SSRN Electronic Journal - 6 publications

Best Publications

  • Review on psychological stress detection using biosignals

    Giorgos Giannakakis;Dimitris Grigoriadis;Katerina Giannakaki;Olympia Simantiraki

  • Stress and anxiety detection using facial cues from videos

    Giorgos A. Giannakakis;Matthew Pediaditis;Dimitris Manousos;Eleni Kazantzaki

  • Review of eye tracking metrics involved in emotional and cognitive processes.

    Vasileios Skaramagkas;Giorgos Giannakakis;Emmanouil Ktistakis;Dimitris Manousos

  • The MobiAct Dataset: Recognition of Activities of Daily Living using Smartphones

    George Vavoulas;Charikleia Chatzaki;Thodoris Malliotakis;Matthew Pediaditis

  • Organizational factors affecting successful adoption of innovative eHealth services: a case study employing the FITT framework.

    Manolis Tsiknakis;Angelina Kouroubali

  • Automatic Assessment of Depression Based on Visual Cues: A Systematic Review

    Anastasia Pampouchidou;Panagiotis G. Simos;Kostas Marias;Fabrice Meriaudeau

  • An open, component-based information infrastructure for integrated health information networks

    Manolis Tsiknakis;Dimitrios G. Katehakis;Stelios C. Orphanoudakis;Stelios C. Orphanoudakis

  • The MobiFall dataset: An initial evaluation of fall detection algorithms using smartphones

    George Vavoulas;Matthew Pediaditis;Emmanouil G. Spanakis;Manolis Tsiknakis

  • Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text

    Anastasia Pampouchidou;Olympia Simantiraki;Amir Fazlollahi;Matthew Pediaditis

  • Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review

    Emmanouil G Spanakis;Silvina Santana;Manolis Tsiknakis;Kostas Marias

  • The ACGT Master Ontology and its applications - Towards an ontology-driven cancer research and management system

    Mathias Brochhausen;Andrew D. Spear;Cristian Cocos;Gabriele Weiler

  • Ontology-Driven Monitoring of Patient's Vital Signs Enabling Personalized Medical Detection and Alert

    Anna Hristoskova;Vangelis Sakkalis;Giorgos Zacharioudakis;Manolis Tsiknakis

  • The MobiFall Dataset: Fall Detection and Classification with a Smartphone

    George Vavoulas;Matthew Pediaditis;Charikleia Chatzaki;Emmanouil G. Spanakis

  • Human Daily Activity and Fall Recognition Using a Smartphone’s Acceleration Sensor

    Charikleia Chatzaki;Charikleia Chatzaki;Matthew Pediaditis;Matthew Pediaditis;George Vavoulas;Manolis Tsiknakis;Manolis Tsiknakis

  • Vision-based motion detection, analysis and recognition of epileptic seizures-A systematic review

    Matthew Pediaditis;Manolis Tsiknakis;Norbert Leitgeb

  • The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson’s Patients

    Chariklia Chatzaki;Vasileios Skaramagkas;Nikolaos S. Tachos;Nikolaos S. Tachos;Georgios Christodoulakis

  • Learning effect of a novel interactive basic life support CD: the JUST system

    Koenraad G Monsieurs;Catherine Vogels;Leo L Bossaert;Philippe Meert

  • Methods for Seizure Detection and Prediction: An Overview

    Giorgos Giannakakis;Vangelis Sakkalis;Matthew Pediaditis;Manolis Tsiknakis;Manolis Tsiknakis

  • A Semantic Grid Infrastructure Enabling Integrated Access and Analysis of Multilevel Biomedical Data in Support of Postgenomic Clinical Trials on Cancer

    M. Tsiknakis;M. Brochhausen;J. Nabrzyski;J. Pucacki

  • Delivering a Lifelong Integrated Electronic Health Record Based on a Service Oriented Architecture

    D.G. Katehakis;S.G. Sfakianakis;G. Kavlentakis;D.N. Anthoulakis

  • Detection of stress/anxiety state from EEG features during video watching

    Giorgos Giannakakis;Dimitris Grigoriadis;Manolis Tsiknakis

  • Electronic Health Record

    Dimitrios G. Katehakis;Manolis Tsiknakis

Frequent Co-Authors

Kostas Marias
Kostas Marias Foundation for Research and Technology Hellas
Haridimos Kondylakis
Haridimos Kondylakis University of Crete
Norbert Graf
Norbert Graf Saarland University
Panagiotis G. Simos
Panagiotis G. Simos University of Crete
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
Dimitrios I. Fotiadis
Dimitrios I. Fotiadis University of Ioannina
Gabriella Pravettoni
Gabriella Pravettoni University of Milan
Alessandra Gorini
Alessandra Gorini University of Milan
Helen M. Byrne
Helen M. Byrne University of Oxford

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 education in the USA reveals several flexible and affordable options. Many students are turning to associates degrees online as a cost-effective way to begin their tech careers or transition into new roles. Online associate programs can provide a strong foundation and open doors to entry-level positions or further studies.

For those seeking advanced credentials, pursuing one of the most useful graduate degrees in computer science or related fields can significantly boost earning potential and job security in an ever-evolving industry. It's also possible to find the quickest cheapest masters degree options online, allowing students to save time and money while advancing their expertise.

Additionally, many institutions now offer affordable online courses in computer science and related subjects. These courses are perfect for gaining new skills, supplementing your degree, or even switching careers—all on a flexible schedule that works around your life.

Best Scientists Citing Manolis Tsiknakis

Trending Scientists

Recently Published Articles