World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
82
Citations
29145
World Ranking
454
National Ranking
211

Computer Science

D-Index
85
Citations
30691
World Ranking
801
National Ranking
435

Niraj K. Jha 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 Niraj K. Jha 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: 552 publications — 88th percentile

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

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

Niraj K. Jha 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 Niraj K. Jha 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: 82 D-Index — 94th percentile

94% 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

  • 2003 - ACM Fellow For contributions to low power design and testing of digital systems.

Overview

Niraj K. Jha is affiliated with Princeton University in the United States and has a significant research presence in the field of Computer Science. Their published work spans a range of topics centered around artificial intelligence and electrical engineering, reflected in a diverse portfolio of papers, research collaborations, and focus areas.

The scientist's recent publications include:

  • Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics (2023), published in IEEE Transactions on Power Electronics
  • How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics (2023), published in IEEE Transactions on Power Electronics
  • Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems (2022), published in IEEE Transactions on Emerging Topics in Computing
  • MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks (2022), published in ACM Transactions on Embedded Computing Systems
  • SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine learning (2021), published in IEEE Transactions on Emerging Topics in Computing

Their frequent co-authors include:

  • Shikhar Tuli
  • Shayan Hassantabar
  • Bhishma Dedhia
  • Hongxu Yin
  • Prerit Terway

Jha's publications are often featured in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • IEEE Transactions on Power Electronics

The scientist's main field of study is Computer Science, with significant focus on the following subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Experimental and Cognitive Psychology

The primary research topics covered by their work include:

  • Advanced Neural Network Applications
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • COVID-19 diagnosis using AI

Recognition for contributions to the field includes the ACM Fellow award received in 2003, specifically for work in low power design and testing of digital systems.

Best Publications

  • Switching and Finite Automata Theory

    Zvi Kohavi;Niraj K. Jha

  • GARNET: A detailed on-chip network model inside a full-system simulator

    Niket Agarwal;Tushar Krishna;Li-Shiuan Peh;Niraj K. Jha

  • A Comprehensive Study of Security of Internet-of-Things

    Arsalan Mosenia;Niraj K. Jha

  • Dynamic voltage scaling with links for power optimization of interconnection networks

    Li Shang;Li-Shiuan Peh;N.K. Jha

  • A study of the energy consumption characteristics of cryptographic algorithms and security protocols

    N.R. Potlapally;S. Ravi;A. Raghunathan;N.K. Jha

  • Express virtual channels: towards the ideal interconnection fabric

    Amit Kumar;Li-Shiuan Peh;Partha Kundu;Niraj K. Jha

  • Testing of Digital Systems

    Niraj K. Jha;Sandeep Gupta

  • An Algorithm for Synthesis of Reversible Logic Circuits

    P. Gupta;A. Agrawal;N.K. Jha

  • Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

    Hongxu Yin;Pavlo Molchanov;Jose M. Alvarez;Zhizhong Li

  • Hijacking an insulin pump: Security attacks and defenses for a diabetes therapy system

    Chunxiao Li;Anand Raghunathan;Niraj K. Jha

  • Analyzing the energy consumption of security protocols

    Nachiketh R. Potlapally;Srivaths Ravi;Anand Raghunathan;Niraj K. Jha

  • Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare

    Mehran Mozaffari-Kermani;Susmita Sur-Kolay;Anand Raghunathan;Niraj K. Jha

  • High-Level Power Analysis and Optimization

    Anand Raghunathan;Niraj K. Jha;Sujit Dey

  • MOGAC: a multiobjective genetic algorithm for hardware-software cosynthesis of distributed embedded systems

    R.P. Dick;N.K. Jha

  • FinFET Circuit Design

    Prateek Mishra;Anish Muttreja;Niraj K. Jha

  • Microfluidic chips: recent advances, critical strategies in design, applications and future perspectives.

    Prapti Pattanayak;Sachin Kumar Singh;Monica Gulati;Sukriti Vishwas

  • ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

    Xiaoliang Dai;Yangqing Jia;Peter Vajda;Matt Uyttendaele

  • Design and synthesis of self-checking VLSI circuits

    N.K. Jha;S.-J. Wang

  • Power-conscious joint scheduling of periodic task graphs and aperiodic tasks in distributed real-time embedded systems

    Jiong Luo;Niraj K. Jha

  • MOGAC: a multiobjective genetic algorithm for the co-synthesis of hardware-software embedded systems

    Robert P. Dick;Niraj K. Jha

  • Fault-tolerant computer system design

    Niraj K. Jha

  • ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

    Xiaoliang Dai;Peizhao Zhang;Bichen Wu;Hongxu Yin

Frequent Co-Authors

Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Li Shang
Li Shang University of Colorado Boulder
Lin Zhong
Lin Zhong Yale University
Sujit Dey
Sujit Dey University of California, San Diego
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore
Robert P. Dick
Robert P. Dick University of Michigan–Ann Arbor
Naveen Verma
Naveen Verma Princeton University
Sandip Kundu
Sandip Kundu University of Massachusetts Amherst
Jacob A. Abraham
Jacob A. Abraham The University of Texas at Austin
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)

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Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering often opens doors to various interdisciplinary fields. Many students complement their technical expertise by enrolling in a project management bachelor degree program. This combination enhances leadership skills and prepares graduates to manage complex engineering projects effectively.

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Moreover, competency based masters programs are gaining popularity for offering personalized learning paths. They allow students to progress at their own pace by demonstrating mastery of specific skills, making them ideal for self-motivated learners aiming to deepen their engineering knowledge.

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