World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
81
Citations
36003
World Ranking
479
National Ranking
219

Jessica Fridrich publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Jessica Fridrich sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 186 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Jessica Fridrich D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Jessica Fridrich sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2018 - Fellow, National Academy of Inventors

Overview

Jessica Fridrich is affiliated with Binghamton University in the United States. Their research primarily focuses on areas within computer science, with a strong emphasis on digital media forensic detection and advanced steganography and watermarking techniques.

The scientist has contributed to the field of computer science through numerous publications, particularly in the subfields of computer vision and pattern recognition, information systems, computer networks and communications, hardware and architecture, and signal processing. The main topics covered in their work include:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Chaos-based Image/Signal Encryption
  • Generative Adversarial Networks and Image Synthesis
  • Digital and Cyber Forensics
  • Opportunistic and Delay-Tolerant Networks
  • Parallel Computing and Optimization Techniques

Jessica Fridrich's frequent collaborators include Eli Dworetzky, Edgar Kaziakhmedov, Yassine Yousfi, Mauro Barni, and Patrizio Campisi. These recurring co-authorships indicate ongoing partnerships within the steganography and digital forensics communities.

They have published extensively in venues such as Electronic Imaging, which features seven of their contributions, followed by IEEE Transactions on Information Forensics and Security and IEEE Signal Processing Magazine, each with two publications. Other venues include arXiv (Cornell University) and IEEE Transactions on Circuits and Systems for Video Technology.

Some recent publications authored or co-authored by Jessica Fridrich include:

  • Image Steganography With Symmetric Embedding Using Gaussian Markov Random Field Model, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • An Intriguing Struggle of CNNs in JPEG Steganalysis and the OneHot Solution, 2020, IEEE Signal Processing Letters
  • Natural Steganography in JPEG Domain With a Linear Development Pipeline, 2020, IEEE Transactions on Information Forensics and Security
  • Information Forensics and Security: A quarter-century-long journey, 2023, IEEE Signal Processing Magazine
  • Synchronizing Embedding Changes in Side-Informed Steganography, 2020, Electronic Imaging

Jessica Fridrich was awarded the title of Fellow by the National Academy of Inventors in 2018, reflecting recognition within the research community.

Best Publications

  • Rich Models for Steganalysis of Digital Images

    J. Fridrich;J. Kodovsky

  • Digital camera identification from sensor pattern noise

    J. Lukas;J. Fridrich;M. Goljan

  • Detecting LSB steganography in color, and gray-scale images

    J. Fridrich;M. Goljan;Rui Du

  • Detection of Copy-Move Forgery in Digital Images

    Jessica Fridrich

  • Universal distortion function for steganography in an arbitrary domain

    Vojtech Holub;Jessica J. Fridrich;Tomás Denemark

  • Feature-Based steganalysis for JPEG images and its implications for future design of steganographic schemes

    Jessica Fridrich

  • Determining Image Origin and Integrity Using Sensor Noise

    M. Chen;J. Fridrich;M. Goljan;J. Lukas

  • Designing steganographic distortion using directional filters

    Vojtech Holub;Jessica Fridrich

  • Steganalysis of JPEG images: Breaking the F5 algorithm

    Jessica Fridrich;Miroslav Goljan;Dorin Hogea

  • Steganography in Digital Media: Principles, Algorithms, and Applications

    Jessica Fridrich

  • Lossless data embedding--new paradigm in digital watermarking

    Jessica Fridrich;Miroslav Goljan;Rui Du

  • Reliable detection of LSB steganography in color and grayscale images

    Jessica Fridrich;Miroslav Goljan;Rui Du

  • Deep Residual Network for Steganalysis of Digital Images

    Mehdi Boroumand;Mo Chen;Jessica Fridrich

  • Practical steganalysis of digital images: state of the art

    Jessica J. Fridrich;Miroslav Goljan

  • Merging Markov and DCT Features for Multi-Class JPEG Steganalysis

    Tomas Pevny;Jessica Fridrich

  • Statistically undetectable jpeg steganography: dead ends challenges, and opportunities

    Jessica Fridrich;Tomáš Pevný;Jan Kodovský

  • Robust hash functions for digital watermarking

    J. Fridrich;M. Goljan

  • Lossless data embedding for all image formats

    Jessica J. Fridrich;Miroslav Goljan;Rui Du

  • Steganalysis of LSB encoding in color images

    J. Fridrich;M. Long

  • Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT

    Vojtech Holub;Jessica Fridrich

Frequent Co-Authors

Miroslav Goljan
Miroslav Goljan Binghamton University
Ingemar J. Cox
Ingemar J. Cox University College London
Matthew L. Miller
Matthew L. Miller NEC (United States)
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Jana Dittmann
Jana Dittmann Otto-von-Guericke University Magdeburg
Nasir Memon
Nasir Memon New York University
Min Wu
Min Wu University of Maryland, College Park
Franco Bartolini
Franco Bartolini University of Florence
Edward W. Felten
Edward W. Felten Princeton University
Deepa Kundur
Deepa Kundur University of Toronto

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Related Online Degrees & Career Pathways

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Finally, career pathways in Electronics and Electrical Engineering can suit a range of personality types. Many technical roles fit well with careers for introverts, offering opportunities to work independently or in small teams, while developing innovative solutions in dynamic fields.

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