World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10659
World Ranking
6409
National Ranking
383

Maria Petrou 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 Maria Petrou 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: 397 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Maria Petrou 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 Maria Petrou 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: 47 D-Index — 56th percentile

56% 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

  • 2000 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image processing and for service to IAPR

Overview

Maria Petrou was affiliated with Imperial College London in the United Kingdom. Their research spanned multiple disciplines primarily within Arts and Humanities and Social Sciences, with notable contributions to the subfields of Linguistics and Language, Language and Linguistics, Computer Vision and Pattern Recognition, Space and Planetary Science, and Artificial Intelligence.

Their scholarly output included works focused on linguistics, multilingual education, and advanced image processing techniques. Specific main topics addressed in their research comprised:

  • Multilingual Education and Policy
  • Language, Discourse, Communication Strategies
  • Linguistic Variation and Morphology
  • Image Processing and 3D Reconstruction
  • Archaeological Research and Protection
  • Geochemistry and Geologic Mapping
  • Cell Image Analysis Techniques

Maria Petrou authored and co-authored several academic papers, including:

  • "Where Are You From?" Language Attitudes and (Non)Accommodation During Native-Nonnative Speaker Interactions in Germany, 2023, Journal of Language and Social Psychology
  • Fusion of Geophysical Images in the Study of Archaeological Sites, 2020, Archaeological Prospection
  • Open-Source Tools for Assessing Cytoskeleton Properties in Pathological Conditions From Microscopy Images: An Application Note, 2025, Applied Research
  • Turkish Argot and Semantic Shift, 2020, Mediterranean Language Review
  • "Because I am a Foreigner": Nonaccommodative Adjustments of German Speaking Host Community Members through the Eyes of Non-Native Speakers - With a Focus on First Language Turkish Speakers, 2023, Mediterranean Language Review

Frequent co-authors who collaborated with Maria Petrou included Marko Dragojević, Alexandra Karamitrou, Gregory N. Tsokas, and Andreas Stylianou.

The scientist's publications appeared mainly in the following venues:

  • Mediterranean Language Review
  • Journal of Language and Social Psychology
  • Archaeological Prospection
  • Applied Research

Maria Petrou was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2000 for contributions to image processing and service to the association.

Best Publications

  • Structural matching in computer vision using probabilistic relaxation

    W.J. Christmas;J. Kittler;M. Petrou

  • Image Processing: The Fundamentals

    Maria Petrou;Panagiota Bosdogianni

  • Image processing : dealing with texture

    Maria Petrou;Pedro García Sevilla

  • The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows

    S. Barsky;M. Petrou

  • Automatic watershed segmentation of randomly textured color images

    L. Shafarenko;M. Petrou;J. Kittler

  • The Trace transform and its applications

    A. Kadyrov;M. Petrou

  • Segmentation of color textures

    M. Mirmehdi;M. Petrou

  • Optimal edge detectors for ramp edges

    M. Petrou;J. Kittler

  • On the choice of the parameters for anisotropic diffusion in image processing

    Chourmouzios Tsiotsios;Maria Petrou

  • Histogram-based segmentation in a perceptually uniform color space

    L. Shafarenko;H. Petrou;J. Kittler

  • Affine invariant features from the trace transform

    M. Petrou;A. Kadyrov

  • Application of a Bayesian network in a GIS based decision making system

    Athena Stassopoulou;Maria Petrou;Josef Kittler

  • Mapping system for the integration and graphical display of pipeline information that enables automated pipeline surveillance

    Andy J. Fraser;Brian Hewitt;Maria Petrou;Alan Tuck

  • Multidimensional co-occurrence matrices for object recognition and matching

    Vassili Kovalev;Maria Petrou

  • Face verification competition on the XM2VTS database

    Kieron Messer;Josef Kittler;Mohammad Sadeghi;Sebastien Marcel

  • Defect detection in random colour textures

    Keng Yew Song;Josef Kittler;Maria Petrou

  • Color grading of randomly textured ceramic tiles using color histograms

    C. Boukouvalas;J. Kittler;R. Marik;M. Petrou

  • Ceramic tile inspection for colour and structural defects

    C. Boukouvalas;J. Kittler;R. Marik;M. Mirmehdi

  • Confidence in linear spectral unmixing of single pixels

    M. Petrou;P.G. Foschi

  • Sparse representations for facial expressions recognition via l 1 optimization

    Stefanos Zafeiriou;Maria Petrou

  • A Time-Efficient Method for Anomaly Detection in Hyperspectral Images

    O. Duran;M. Petrou

Frequent Co-Authors

Josef Kittler
Josef Kittler University of Surrey
Majid Mirmehdi
Majid Mirmehdi University of Bristol
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Peter Robinson
Peter Robinson University of Cambridge
Patrick Olivier
Patrick Olivier Monash University
Stan Z. Li
Stan Z. Li Westlake University
Xavier Lladó
Xavier Lladó University of Girona
Richard Lucas
Richard Lucas Aberystwyth University
Jürgen R. Reichenbach
Jürgen R. Reichenbach Friedrich Schiller University Jena
Wuqiang Yang
Wuqiang Yang University of Manchester

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 related online degrees can open a range of flexible and lucrative career options for Computer Science students in the USA. For those interested in data analysis, consider the cheapest data science degree programs. These programs offer an affordable way to gain in-demand skills without accumulating significant student debt.

Students leaning toward engineering can look into online electrical engineering courses USA. These courses provide essential knowledge in electronics and circuitry, and most are available fully online, making them convenient for working professionals.

Not everyone needs a full degree to boost their earning potential. Industry-recognized certifications are often quick to earn and can lead to high-paying roles. If you want to enhance your skills quickly, review easy licenses and certifications to get that can fast-track your tech career.

For those seeking quick advancement, pursuing one of the shortest masters degree options can provide new skills and credentials in as little as one year. Investigate these accelerated programs to maximize your career growth in a short timeframe.

Best Scientists Citing Maria Petrou

Recently Published Articles