World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5341
World Ranking
10832
National Ranking
4511

Milos Manic 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 Milos Manic 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: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Milos Manic 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 Milos Manic 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: 37 D-Index — 27th percentile

27% 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

  • 2021 - IEEE Fellow For contributions to machine learning based cybersecurity for critical infrastructures
  • 2019 - Anthony J. Hornfeck Service Award

Overview

Milos Manic is affiliated with Virginia Commonwealth University in the United States and has a research focus that spans multiple subfields within computer science and engineering. Their work primarily intersects areas such as artificial intelligence, control and systems engineering, and computer networks and communications.

The main fields of study for Manic include:

  • Computer Science
  • Engineering

Their subfields of study cover:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

The core topics of their research work focus on:

  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Smart Grid Security and Resilience
  • Explainable Artificial Intelligence (XAI)
  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications

Manic has contributed to recent papers including:

  • "ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation" (2021, IEEE Access)
  • "An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters" (2021, IEEE Transactions on Industrial Electronics)
  • "Explainable Unsupervised Machine Learning for Cyber-Physical Systems" (2021, IEEE Access)
  • "Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey" (2022, IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society)
  • "IECON 2023: 49th Annual Conference of the IEEE Industrial Electronics Society" (2023, IEEE Industrial Electronics Magazine)

Frequent co-authors in their work include:

  • Daniel Marino
  • Chathurika S. Wickramasinghe
  • Daswin De Silva
  • Craig Rieger
  • Harindra S. Mavikumbure

Their publications often appear in venues such as:

  • IEEE Access
  • IEEE Industrial Electronics Magazine
  • Applied System Innovation
  • arXiv (Cornell University)
  • Energies

Manic has been recognized with awards including:

  • IEEE Fellow in 2021, for contributions to machine learning based cybersecurity for critical infrastructures
  • Anthony J. Hornfeck Service Award in 2019

Best Publications

  • Building energy load forecasting using Deep Neural Networks

    Daniel L. Marino;Kasun Amarasinghe;Milos Manic

  • Deep neural networks for energy load forecasting

    Kasun Amarasinghe;Daniel L. Marino;Milos Manic

  • CIMS: a framework for infrastructure interdependency modeling and analysis

    Donald D. Dudenhoeffer;May R. Permann;Milos Manic

  • Neural Network based Intrusion Detection System for critical infrastructures

    Ondrej Linda;Todd Vollmer;Milos Manic

  • Big data analytics in smart grids: state-of-the-art, challenges, opportunities, and future directions

    Bishnu P. Bhattarai;Sumit Paudyal;Yusheng Luo;Manish Mohanpurkar

  • Building Energy Management Systems: The Age of Intelligent and Adaptive Buildings

    Milos Manic;Dumidu Wijayasekara;Kasun Amarasinghe;Juan J. Rodriguez-Andina

  • General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering

    O. Linda;M. Manic

  • Uncertainty-Robust Design of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot

    O. Linda;M. Manic

  • Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions

    Dumidu Wijayasekara;Ondrej Linda;Milos Manic;Craig G. Rieger

  • An Adversarial Approach for Explainable AI in Intrusion Detection Systems

    Daniel L. Marino;Chathurika S. Wickramasinghe;Milos Manic

  • Network traffic monitoring devices and monitoring systems, and associated methods

    Kurt Derr;Milos Manic

  • Intelligent Buildings of the Future: Cyberaware, Deep Learning Powered, and Human Interacting

    Milos Manic;Kasun Amarasinghe;Juan J. Rodriguez-Andina;Craig Rieger

  • Toward Explainable Deep Neural Network Based Anomaly Detection

    Kasun Amarasinghe;Kevin Kenney;Milos Manic

  • Multi-robot, multi-target Particle Swarm Optimization search in noisy wireless environments

    Kurt Derr;Milos Manic

  • Interval Type-2 fuzzy voter design for fault tolerant systems

    Ondrej Linda;Milos Manic

  • Generalization of Deep Learning for Cyber-Physical System Security: A Survey

    Chathurika S. Wickramasinghe;Daniel L. Marino;Kasun Amarasinghe;Milos Manic

  • Deep Learning and Reconfigurable Platforms in the Internet of Things: Challenges and Opportunities in Algorithms and Hardware

    Roberto Fernandez Molanes;Kasun Amarasinghe;Juan Rodriguez-Andina;Milos Manic

  • Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks

    Todd Vollmer;Milos Manic

  • Fuzzy logic based anomaly detection for embedded network security cyber sensor

    Ondrej Linda;Milos Manic;Todd Vollmer;Jason Wright

  • Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data

    O. Linda;M. Manic

  • Wireless Sensor Networks—Node Localization for Various Industry Problems

    Kurt Derr;Milos Manic

  • Vulnerability identification and classification via text mining bug databases

    Dumidu Wijayasekara;Milos Manic;Miles McQueen

  • ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation

    Chathurika S. Wickramasinghe;Daniel L. Marino;Milos Manic

Frequent Co-Authors

Bogdan M. Wilamowski
Bogdan M. Wilamowski Auburn University
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Hui Yu
Hui Yu University of Portsmouth
Lucia Lo Bello
Lucia Lo Bello University of Catania
Xinghuo Yu
Xinghuo Yu RMIT University
Oscar Lucia
Oscar Lucia University of Zaragoza
Aldo Boglietti
Aldo Boglietti Polytechnic University of Turin
Sergio Vazquez
Sergio Vazquez University of Seville
Huijun Gao
Huijun Gao Harbin Institute of Technology
Leopoldo G. Franquelo
Leopoldo G. Franquelo University of Seville

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