World's Best Scientists 2026 revealed!
Naveen Chilamkurti

Naveen Chilamkurti

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
9795
World Ranking
2442
National Ranking
80

Computer Science

D-Index
58
Citations
11296
World Ranking
3685
National Ranking
109

Naveen Chilamkurti 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 Naveen Chilamkurti 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: 269 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Naveen Chilamkurti 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 Naveen Chilamkurti 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: 53 D-Index — 66th percentile

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

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

Overview

Naveen Chilamkurti is affiliated with La Trobe University in Australia. Their research spans primarily the fields of Computer Science and Engineering, with notable contributions to various subfields including Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Information Systems.

Their research topics encompass a range of areas focusing on emerging technologies and security in networked systems. Key topics include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection
  • Smart Grid Security and Resilience
  • Privacy-Preserving Technologies in Data
  • Smart Grid Energy Management
  • Anomaly Detection Techniques and Applications

Naveen Chilamkurti has published extensively in several scholarly venues. Frequent publication venues include:

  • International Journal of Communication Systems
  • Sensors
  • arXiv (Cornell University)
  • International Journal of Internet Technology and Secured Transactions
  • IEEE Access

Their notable recent papers include:

  • "Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network", 2020, IEEE Access
  • "Smart healthcare in smart cities: wireless patient monitoring system using IoT", 2021, The Journal of Supercomputing
  • "IoT Resource Allocation and Optimization Based on Heuristic Algorithm", 2020, Sensors
  • "Blockchain Based Smart Contracts for Internet of Medical Things in e-Healthcare", 2020, Electronics
  • "Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication", 2020, IEEE Access

In addition to journal publications, Chilamkurti has authored books published by well-known publishers. These include:

  • "Disruptive Artificial Intelligence and Sustainable Human Resource Management", 2023, River Publishers eBooks
  • "Artificial Intelligence for Health 4.0: Challenges and Applications", 2023, River Publishers eBooks
  • "Big Data Technologies and Applications", 2021, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  • "Green Computing in Smart Cities: Simulation and Techniques", 2020, Springer Science+Business Media

Naveen Chilamkurti frequently collaborates with several researchers including:

  • Arun Kumar Sangaiah
  • Hamid R. Arabnia
  • Damminda Alahakoon
  • Habib Ammari
  • Μάρκος Αναστασόπουλος

Best Publications

  • Distributed attack detection scheme using deep learning approach for Internet of Things

    Abebe Abeshu Diro;Naveen K. Chilamkurti

  • Survey on SDN based network intrusion detection system using machine learning approaches

    Nasrin Sultana;Naveen K. Chilamkurti;Wei Peng;Rabei Alhadad

  • Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

    Abebe Abeshu;Naveen Chilamkurti

  • Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks

    Debiao He;Neeraj Kumar;Jianhua Chen;Cheng-Chi Lee

  • A secure temporal-credential-based mutual authentication and key agreement scheme with pseudo identity for wireless sensor networks

    Debiao He;Neeraj Kumar;Naveen Chilamkurti

  • Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network

    S. Manimurugan;Saad Al-Mutairi;Majed Mohammed Aborokbah;Naveen Chilamkurti

  • An ontology-driven personalized food recommendation in IoT-based healthcare system

    V. Subramaniyaswamy;Gunasekaran Manogaran;R. Logesh;V. Vijayakumar

  • Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

    Gunasekaran Manogaran;P. Mohamed Shakeel;Hassan Fouad;Yunyoung Nam

  • Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications

    Abebe Diro;Naveen Chilamkurti

  • Cross-Layer Support for Energy Efficient Routing in Wireless Sensor Networks

    Naveen. Chilamkurti;Sherali. Zeadally;Athanassios V. Vasilakos;Vikas. Sharma

  • Random forest for big data classification in the internet of things using optimal features

    S. K. Lakshmanaprabu;K. Shankar;M. Ilayaraja;Abdul Wahid Nasir

  • Smart healthcare in smart cities: wireless patient monitoring system using IoT

    M. Poongodi;Ashutosh Sharma;Mounir Hamdi;Ma Maode

  • Energy-efficient networking: past, present, and future

    Sherali Zeadally;Samee Ullah Khan;Naveen K. Chilamkurti

  • IoT Resource Allocation and Optimization Based on Heuristic Algorithm

    Arun Kumar Sangaiah;Ali Asghar Rahmani Hosseinabadi;Morteza Babazadeh Shareh;Seyed Yaser Bozorgi Rad

  • RETRACTED: A framework for risk assessment, management and evaluation: Economic tool for quantifying risks in supply chain

    Mohamed Abdel-Basset;M. Gunasekaran;Mai Mohamed;Naveen Chilamkurti

  • Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system

    Priyan Malarvizhi Kumar;Usha Devi G;Gunasekaran Manogaran;Revathi Sundarasekar

  • Blockchain based smart contracts for internet of medical things in e-healthcare

    Ashutosh Sharma;Sarishma;Ravi Tomar;Naveen Chilamkurti

  • Three-way decisions based on neutrosophic sets and AHP-QFD framework for supplier selection problem

    Mohamed Abdel-Basset;Gunasekaran Manogaran;Mai Mohamed;Naveen K. Chilamkurti

  • Collaborative trust aware intelligent intrusion detection in VANETs

    Neeraj Kumar;Naveen Chilamkurti

  • A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms

    Unknown

  • An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications

    Subramani Jegadeesan;Maria Azees;Priyan Malarvizhi Kumar;Gunasekaran Manogaran

  • Performance Analysis of PMIPv6-Based NEtwork MObility for Intelligent Transportation Systems

    Jong-Hyouk Lee;T. Ernst;N. Chilamkurti

Frequent Co-Authors

Neeraj Kumar
Neeraj Kumar Thapar University
Sherali Zeadally
Sherali Zeadally University of Kentucky
Seungmin Rho
Seungmin Rho Chung-Ang University
Gunasekaran Manogaran
Gunasekaran Manogaran University of California, Davis
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Anand Paul
Anand Paul Kyungpook National University
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology
Alexey Vinel
Alexey Vinel Halmstad University
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Debiao He
Debiao He Wuhan 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

For those interested in pursuing Electronics and Electrical Engineering, exploring related online degrees can open doors to flexible learning and career advancement. Many students benefit from competency based programs, which allow learners to progress at their own pace by demonstrating skills rather than following a strict timeline. This approach is especially useful for busy professionals or those with prior experience in the field.

Military spouses and dependents often face unique challenges when enrolling in education programs. Fortunately, some institutions specialize in providing support through online school for military spouses, offering tailored resources and flexible schedules to accommodate frequent moves and family commitments.

Start dates can be a major factor in planning your studies. Online colleges with frequent start dates help students avoid long waiting periods and begin their education on their own timeline. This flexibility is ideal for those balancing work and study.

For those seeking quicker qualifications, exploring certificate programs that pay well can provide targeted skills to jumpstart a career or enhance current job prospects in the engineering tech sector.

Best Scientists Citing Naveen Chilamkurti

Trending Scientists

Recently Published Articles