World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Lebanon
2026

D-Index & Metrics

Computer Science

D-Index
41
Citations
9157
World Ranking
8689
National Ranking
2

Lina J. Karam 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 Lina J. Karam 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: 263 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Lina J. Karam 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 Lina J. Karam 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: 41 D-Index — 40th percentile

40% 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

  • 2026 - Research.com Computer Science in Lebanon Leader Award
  • 2013 - IEEE Fellow For contributions to perception-based visual processing, image and video communications, and digital filtering

Overview

Lina J. Karam is affiliated with the Lebanese American University in Lebanon and has contributed extensively to the field of computer science. Their research primarily spans artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, electrical and electronic engineering, and computer networks and communications.

Their scholarly output covers several specific topics, including adversarial robustness in machine learning, domain adaptation and few-shot learning, advanced image and video retrieval techniques, anomaly detection techniques and applications, image processing techniques and applications, advanced neural network applications, and energy efficient wireless sensor networks.

Key recent publications by Lina J. Karam include the following papers:

  • Frequency-Tuned Universal Adversarial Attacks on Texture Recognition, 2022, IEEE Transactions on Image Processing
  • Locally Adaptive Statistical Background Modeling With Deep Learning-Based False Positive Rejection for Defect Detection in Semiconductor Units, 2020, IEEE Transactions on Semiconductor Manufacturing
  • Traceability for nuclear medicine: the status of primary radioactivity standards, 2022, Metrologia
  • It GAN Do Better: GAN-Based Detection of Objects on Images With Varying Quality, 2021, IEEE Transactions on Image Processing
  • Frequency-Tuned Universal Adversarial Attacks, 2020, arXiv (Cornell University)

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Semiconductor Manufacturing
  • Metrologia

Among their frequent co-authors are:

  • Yingpeng Deng
  • Jayantha Katupitiya
  • Vicente Milanés
  • Ioannis Pitas
  • Jieping Ye

Lina J. Karam was recognized as an IEEE Fellow in 2013 for contributions related to perception-based visual processing, image and video communications, and digital filtering.

Best Publications

  • A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)

    R. Ferzli;L.J. Karam

  • Understanding how image quality affects deep neural networks

    Samuel Dodge;Lina Karam

  • Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison

    Shyamprasad Chikkerur;Vijay Sundaram;Martin Reisslein;Lina J Karam

  • A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)

    N. D. Narvekar;L. J. Karam

  • A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions

    Samuel Dodge;Lina Karam

  • Morphological text extraction from images

    Y.M.Y. Hasan;L.J. Karam

  • Complex Chebyshev approximation for FIR filter design

    L.J. Karam;J.H. McClellan

  • A no-reference perceptual image sharpness metric based on a cumulative probability of blur detection

    Niranjan D. Narvekar;Lina J. Karam

  • A Distributed Canny Edge Detector: Algorithm and FPGA Implementation

    Qian Xu;Srenivas Varadarajan;Chaitali Chakrabarti;Lina J. Karam

  • JPEG2000 encoding with perceptual distortion control

    Zhen Liu;L.J. Karam;A.B. Watson

  • Adaptive image coding with perceptual distortion control

    I. Hontsch;L.J. Karam

  • Trends in multicore DSP platforms

    L.J. Karam;I. AlKamal;A. Gatherer;G.A. Frantz

  • Locally adaptive perceptual image coding

    I. Hontsch;L.J. Karam

  • DeepCorrect: Correcting DNN Models Against Image Distortions

    Tejas S. Borkar;Lina J. Karam

  • The compression of color images based on a 2-dimensional discrete wavelet transform yielding a perceptually lossless image

    Tinku Acharya;Lina J. Karam;Francescomaria Marino

  • A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling

    N.G. Sadaka;L.J. Karam;R. Ferzli;G.P. Abousleman

  • Echtzeitalgorithmen und architektur zur kodierung von mit einem dwt-basierten verfahren komprimierten bildern

    Tinku Acharya;Lina J Karam;Francescomaria Marino

  • No-reference objective wavelet based noise immune image sharpness metric

    R. Ferzli;L.J. Karam

  • Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes

    S. Alireza Golestaneh;Lina J. Karam

  • A No-Reference Objective Image Sharpness Metric Based on Just-Noticeable Blur and Probability Summation

    R. Ferzli;L.J. Karam

Frequent Co-Authors

Martin Reisslein
Martin Reisslein Arizona State University
James H. McClellan
James H. McClellan Georgia Institute of Technology
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Brian L. Evans
Brian L. Evans The University of Texas at Austin
Andrew B. Watson
Andrew B. Watson Apple (United States)
Tinku Acharya
Tinku Acharya Intel (United States)
Dinei Florencio
Dinei Florencio Microsoft (United States)
Yu Cao
Yu Cao University of Minnesota
Andreas Spanias
Andreas Spanias Arizona State University

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 in the USA offers a variety of flexible online study options and career routes. For those seeking a quicker entry into the workforce, pursuing easy licenses and certifications to get can provide valuable skills and credentials. These certifications can lead to in-demand IT roles without the commitment of a full degree program.

If you're aiming for advanced positions or specialized knowledge, consider quick masters degrees online. These accelerated programs allow you to earn a respected qualification in less time, opening doors to promotions and higher salaries.

It's important to choose programs with strong job prospects. Research the most valuable masters degrees to ensure your investment pays off in the rapidly evolving tech sector.

For students interested in starting with foundational studies, online associates degrees provide an affordable path to entry-level tech positions or future bachelor's degrees.

Best Scientists Citing Lina J. Karam

Trending Scientists