World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5783
World Ranking
12986
National Ranking
824

Ahmet M. Kondoz 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 Ahmet M. Kondoz 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: 417 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Ahmet M. Kondoz 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 Ahmet M. Kondoz 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Computer vision

His main research concerns Artificial intelligence, Computer vision, Video quality, Computer network and Data compression. His Artificial intelligence research is multidisciplinary, relying on both Detection theory, Detector and Pattern recognition. His study in Computer vision is interdisciplinary in nature, drawing from both Depth perception and Codec.

The various areas that Ahmet M. Kondoz examines in his Video quality study include Channel code, Communication channel and Coding tree unit. The concepts of his Computer network study are interwoven with issues in Wireless and General Packet Radio Service. His Data compression research focuses on subjects like Stereoscopy, which are linked to Scalable Video Coding.

His most cited work include:

  • Digital Speech: Coding for Low Bit Rate Communication Systems (311 citations)
  • Quality analysis for 3D video using 2D video quality models (154 citations)
  • Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video (150 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Computer vision, Speech recognition, Speech coding and Video quality. His Artificial intelligence study combines topics from a wide range of disciplines, such as Coding and Pattern recognition. Multiview Video Coding, Data compression, Scalable Video Coding, Video tracking and Motion estimation are the primary areas of interest in his Computer vision study.

His work carried out in the field of Video tracking brings together such families of science as Multimedia and Video processing. His Speech coding research incorporates themes from Bit error rate and Voice activity detection. Robustness, Computer network and Network packet is closely connected to Real-time computing in his research, which is encompassed under the umbrella topic of Video quality.

He most often published in these fields:

  • Artificial intelligence (31.46%)
  • Computer vision (27.11%)
  • Speech recognition (20.97%)

What were the highlights of his more recent work (between 2012-2021)?

  • Artificial intelligence (31.46%)
  • Multimedia (12.28%)
  • Video quality (15.60%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Multimedia, Video quality, Computer vision and Computer network are his primary areas of study. Ahmet M. Kondoz has researched Artificial intelligence in several fields, including Lidar and Ranging. His studies in Multimedia integrate themes in fields like Quality of experience, Modality, The Internet, Adaptation and User experience design.

He interconnects Video tracking, Multiview Video Coding, Real-time computing, Video processing and Coding in the investigation of issues within Video quality. His Video tracking research includes elements of Scalable Video Coding and Motion compensation. His Computer vision research includes themes of Radar, Data stream mining and Subjective video quality.

Between 2012 and 2021, his most popular works were:

  • Toward an Impairment Metric for Stereoscopic Video: A Full-Reference Video Quality Metric to Assess Compressed Stereoscopic Video (63 citations)
  • Privacy-preserving blockchain based IoT ecosystem using attribute-based encryption (56 citations)
  • Fusion of LiDAR and camera sensor data for environment sensing in driverless vehicles (25 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer network
  • Computer vision

His primary scientific interests are in Computer vision, Artificial intelligence, Computer network, Multimedia and Video quality. His Computer vision research integrates issues from Radar, Lidar and Measure. His research in Artificial intelligence intersects with topics in Algorithm design, Ranging and Data stream mining.

His Multimedia study incorporates themes from Cellular network, Multimedia Broadcast Multicast Service, Quality of experience, The Internet and Mobile device. His Video quality study combines topics in areas such as Video tracking and Video processing. His Video processing research is multidisciplinary, incorporating elements of Multiview Video Coding, Uncompressed video, Subjective video quality, Dynamic Adaptive Streaming over HTTP and Video compression picture types.

Best Publications

  • Digital Speech: Coding for Low Bit Rate Communication Systems

    A. Kindoz;A. M. Kondoz

  • Privacy-preserving blockchain based IoT ecosystem using attribute-based encryption

    Yogachandran Rahulamathavan;Raphael C.-W Phan;Muttukrishnan Rajarajan;Sudip Misra

  • Quality analysis for 3D video using 2D video quality models

    S.L.P. Yasakethu;C. Hewage;W. Fernando;A. Kondoz

  • Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video

    C.T.E.R. Hewage;S.T. Worrall;S. Dogan;S. Villette

  • Analysis and improvement of a statistical model-based voice activity detector

    Yong Duk Cho;A. Kondoz

  • Prediction of stereoscopic video quality using objective quality models of 2-D video

    C.T.E.R. Hewage;S.T. Worrall;S. Dogan;A.M. Kondoz

  • Improved voice activity detection based on a smoothed statistical likelihood ratio

    Y.D. Cho;K. Al-Naimi;A. Kondoz

  • Error-resilient video transcoding for robust internetwork communications using GPRS

    S. Dogan;A. Cellatoglu;M. Uyguroglu;A.H. Sadka

  • Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots.

    Varuna De Silva;Jamie Roche;Ahmet M. Kondoz

  • Toward an Impairment Metric for Stereoscopic Video: A Full-Reference Video Quality Metric to Assess Compressed Stereoscopic Video

    V. De Silva;H. K. Arachchi;E. Ekmekcioglu;A. Kondoz

  • Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics

    B. Gunel;H. Hachabiboglu;A.M. Kondoz

  • 3D motion estimation for depth image coding in 3D video coding

    B. Kamolrat;W.A.C. Fernando;M. Mrak;A. Kondoz

  • Perceptual Video Quality Metric for 3D video quality assessment

    P. Joveluro;H. Malekmohamadi;W. A. C Fernando;A. M. Kondoz

  • Sensitivity Analysis of the Human Visual System for Depth Cues in Stereoscopic 3-D Displays

    V De Silva;A Fernando;S Worrall;H K Arachchi

  • Secure voice over GSM and other low bit rate systems

    N. Kaiugampala;S. Villette;A.M. Kondoz

  • PITCH DETERMINATION FOR SPEECH CODING

    Villette Stephane Pierre;Kondoz Ahmet Mehmet

  • Real time data transmission over GSM voice channel for secure voice and data applications

    N.N. Katugampala;K.T. Al-Naimi;S. Villette;A.M. Kondoz

  • Frame concealment algorithm for stereoscopic video using motion vector sharing

    C.T.E.R. Hewage;S. Worrall;S. Dogan;A.M. Kondoz

  • Real-time end-to-end secure voice communications over GSM voice channel

    N.N. Katugampala;K.T. Al-Naimi;S. Villette;A.M. Kondoz

  • Just noticeable difference in depth model for stereoscopic 3D displays

    D. V. S. X. De Silva;W. A. C. Fernando;S. T. Worrall;S. L. P. Yasakethu

Frequent Co-Authors

Barry G. Evans
Barry G. Evans University of Surrey
Muttukrishnan Rajarajan
Muttukrishnan Rajarajan City, University of London
Hasan Demirel
Hasan Demirel Eastern Mediterranean University
Thomas Sikora
Thomas Sikora Technical University of Berlin
Sudip Misra
Sudip Misra Indian Institute of Technology Kharagpur
Raphael C.-W. Phan
Raphael C.-W. Phan Monash University Malaysia
A.M. Tekalp
A.M. Tekalp Koç University
Turgay Celik
Turgay Celik University of the Witwatersrand
Gholamreza Anbarjafari
Gholamreza Anbarjafari University of Tartu

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