World's Best Scientists 2026 revealed!
Marius Leordeanu

Marius Leordeanu

D-Index & Metrics

Computer Science

D-Index
30
Citations
7641
World Ranking
13849
National Ranking
5

Marius Leordeanu 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 Marius Leordeanu 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Marius Leordeanu 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 Marius Leordeanu 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Marius Leordeanu is affiliated with the Romanian Academy in Romania and specializes primarily in Computer Science, with an extensive publication record in the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience, and Radiology, Nuclear Medicine and Imaging.

Their research covers several main topics including:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Visual Attention and Saliency Detection
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Robotics and Sensor-Based Localization

Among recent papers, notable publications include:

  • "TeachText: CrossModal Generalized Distillation for Text-Video Retrieval," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy," 2020, Sensors
  • "Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection," 2020, Sensors
  • "Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms," 2024, Computers in Biology and Medicine
  • "Driven by Vision: Learning Navigation by Visual Localization and Trajectory Prediction," 2021, Sensors

The scholar has frequently published in venues such as arXiv (Cornell University), Sensors, Journal of Financial Studies, Artificial Intelligence, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Frequent co-authors in their works include Dragoş Costea, Alin Moldoveanu, Gabriela Moise, Florica Moldoveanu, and Oana Bălan.

In addition to journal and conference publications, this researcher has contributed to book literature with a publication at Springer International Publishing titled Unsupervised Learning in Space and Time, published in 2020.

Best Publications

  • Online selection of discriminative tracking features

    R.T. Collins;Yanxi Liu;M. Leordeanu

  • A spectral technique for correspondence problems using pairwise constraints

    M. Leordeanu;M. Hebert

  • The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection

    Mihai Zanfir;Marius Leordeanu;Cristian Sminchisescu

  • An Integer Projected Fixed Point Method for Graph Matching and MAP Inference

    Marius Leordeanu;Martial Hebert;Rahul Sukthankar

  • Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation

    Julien Mairal;Marius Leordeanu;Francis Bach;Martial Hebert

  • Unsupervised Learning for Graph Matching

    Marius Leordeanu;Rahul Sukthankar;Martial Hebert

  • Automated feature-based range registration of urban scenes of large scale

    I. Stamos;M. Leordeanu

  • Discovering texture regularity as a higher-order correspondence problem

    James Hays;Marius Leordeanu;Alexei A. Efros;Yanxi Liu

  • Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features

    M. Leordeanu;M. Hebert;R. Sukthankar

  • How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image

    Radu Tudor Ionescu;Bogdan Alexe;Marius Leordeanu;Marius Popescu

  • New methods for digital modeling of historic sites

    P.K. Allen;A. Troccoli;B. Smith;S. Murray

  • TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

    Ioana Croitoru;Simion-Vlad Bogolin;Yang Liu;Samuel Albanie

  • 3D modeling of historic sites using range and image data

    P.K. Allen;I. Stamos;A. Troccoli;B. Smith

  • Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints

    Andretti Naiden;Vlad Paunescu;Gyeongmo Kim;ByeongMoon Jeon

  • Efficient closed-form solution to generalized boundary detection

    Marius Leordeanu;Rahul Sukthankar;Cristian Sminchisescu

  • Emotion Classification Based on Biophysical Signals and Machine Learning Techniques

    Oana Bălan;Gabriela Moise;Livia Petrescu;Alin Moldoveanu

  • Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation

    Marius Leordeanu;Andrei Zanfir;Cristian Sminchisescu

  • Aerial image geolocalization from recognition and matching of roads and intersections.

    Dragos Costea;Marius Leordeanu

  • Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques

    Oana Bălan;Gabriela Moise;Alin Moldoveanu;Marius Leordeanu

  • Semi-supervised learning and optimization for hypergraph matching

    Marius Leordeanu;Andrei Zanfir;Cristian Sminchisescu

  • Smoothing-based Optimization

    M. Leordeanu;M. Hebert

  • An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.

    Oana Bălan;Gabriela Moise;Alin Moldoveanu;Marius Leordeanu

Frequent Co-Authors

Rahul Sukthankar
Rahul Sukthankar Google (United States)
Martial Hebert
Martial Hebert Carnegie Mellon University
Cristian Sminchisescu
Cristian Sminchisescu Google (United States)
Yanxi Liu
Yanxi Liu Pennsylvania State University
Vittorio Ferrari
Vittorio Ferrari Google (United States)
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Shumeet Baluja
Shumeet Baluja Google (United States)
James Hays
James Hays Georgia Institute of Technology
Peter K. Allen
Peter K. Allen Columbia University
Yang Liu
Yang Liu Tsinghua University

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