World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
56
Citations
14642
World Ranking
835
National Ranking
357

Electronics and Electrical Engineering

D-Index
57
Citations
15397
World Ranking
1939
National Ranking
764

Vladimir Stojanovic publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Vladimir Stojanovic sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 253 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Vladimir Stojanovic D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Vladimir Stojanovic sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 56 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Vladimir Stojanovic is affiliated with the University of California, Berkeley in the United States. Their body of work primarily spans the fields of Engineering and Computer Science, with significant contributions in Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Artificial Intelligence, and Computational Theory and Mathematics.

Their research covers various topics related to control systems and fault detection, including:

  • Fault Detection and Control Systems
  • Adaptive Control of Nonlinear Systems
  • Iterative Learning Control Systems
  • Neural Networks Stability and Synchronization
  • Stability and Control of Uncertain Systems
  • Adaptive Dynamic Programming Control
  • Advanced Control Systems Optimization

Frequent coauthors collaborating with Vladimir Stojanovic include:

  • Hongfeng Tao
  • Xiaona Song
  • Shuai Song
  • Shuping He
  • Wojciech Paszke

Their publication record includes multiple papers in respected venues. The most represented journals and conferences for their work are:

  • Journal of the Franklin Institute
  • Measurement Science and Technology
  • International Journal of Robust and Nonlinear Control
  • Nonlinear Dynamics
  • International Journal of Adaptive Control and Signal Processing

Selected recent papers demonstrate the scope and diversity of Vladimir Stojanovic's research:

  • "An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks," 2020, published in Journal of the Franklin Institute
  • "An Optimal Iterative Learning Control Approach for Linear Systems With Nonuniform Trial Lengths Under Input Constraints," 2022, published in IEEE Transactions on Systems Man and Cybernetics Systems
  • "Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher Level Markov Jump Systems With Uncertain Transition Probabilities," 2021, published in IEEE Transactions on Fuzzy Systems
  • "Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion," 2022, published in Journal of the Franklin Institute
  • "Fuzzy Fault Detection for Markov Jump Systems With Partly Accessible Hidden Information: An Event-Triggered Approach," 2021, published in IEEE Transactions on Cybernetics

Best Publications

  • Single-chip microprocessor that communicates directly using light

    Chen Sun;Chen Sun;Mark T. Wade;Yunsup Lee;Jason S. Orcutt;Jason S. Orcutt

  • Comparative analysis of master-slave latches and flip-flops for high-performance and low-power systems

    V. Stojanovic;V.G. Oklobdzija

  • Integrating photonics with silicon nanoelectronics for the next generation of systems on a chip.

    Amir H Atabaki;Sajjad Moazeni;Fabio Pavanello;Fabio Pavanello;Hayk Gevorgyan

  • DSENT - A Tool Connecting Emerging Photonics with Electronics for Opto-Electronic Networks-on-Chip Modeling

    Chen Sun;Chia-Hsin Owen Chen;George Kurian;Lan Wei

  • Improved sense-amplifier-based flip-flop: design and measurements

    B. Nikolic;V.G. Oklobdzija;V. Stojanovic;Wenyan Jia

  • Building Manycore Processor-to-DRAM Networks with Monolithic Silicon Photonics

    C. Batten;A. Joshi;J. Orcutt;A. Khilo

  • Design and Analysis of a Hardware-Efficient Compressed Sensing Architecture for Data Compression in Wireless Sensors

    F. Chen;A. P. Chandrakasan;V. M. Stojanovic

  • Silicon-photonic clos networks for global on-chip communication

    Ajay Joshi;Christopher Batten;Yong-Jin Kwon;Scott Beamer

  • Autonomous dual-mode (PAM2/4) serial link transceiver with adaptive equalization and data recovery

    Vladimir Stojanovic;Andrew Ho;Bruno W. Garlepp;Fred Chen

  • Equalization and clock recovery for a 2.5-10-Gb/s 2-PAM/4-PAM backplane transceiver cell

    J. Zerbe;C. Werner;V. Stojanovic;F. Chen

  • Modeling and analysis of high-speed links

    V. Stojanovic;M. Horowitz

  • Monolithic silicon-photonic platforms in state-of-the-art CMOS SOI processes

    Unknown

  • Open foundry platform for high-performance electronic-photonic integration

    Jason S. Orcutt;Benjamin Moss;Chen Sun;Jonathan Leu

  • Methods for true energy-performance optimization

    D. Markovic;V. Stojanovic;B. Nikolic;M.A. Horowitz

  • Circuits and techniques for high-resolution measurement of on-chip power supply noise

    E. Alon;V. Stojanovic;M.A. Horowitz

  • Digital System Clocking: High-Performance and Low-Power Aspects

    Vojin G. Oklobdzija;Vladimir M. Stojanovic;Dejan M. Markovic;Nikola M. Nedovic

  • Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications

    M Spencer;F Chen;Cheng C Wang;R Nathanael

  • Silicon photonics for compact, energy-efficient interconnects

    Unknown

  • A 45nm 1.3 GHz 16.7 double-precision GFLOPS/W RISC-V processor with vector accelerators

    Unknown

  • Nanophotonic integration in state-of-the-art CMOS foundries

    Jason S Orcutt;Anatol Khilo;Charles W Holzwarth;Milos A Popović

  • Integrated circuit design with NEM relays

    Fred Chen;Hei Kam;Dejan Markovic;Tsu-Jae King Liu

  • A Monolithically-Integrated Optical Receiver in Standard 45-nm SOI

    M. Georgas;J. Orcutt;R. J. Ram;V. Stojanovic

  • Extraction of titanium from different titania precursors by the FFC Cambridge process

    Unknown

Frequent Co-Authors

Miloš A. Popović
Miloš A. Popović Boston University
Jason S. Orcutt
Jason S. Orcutt IBM (United States)
Mark Horowitz
Mark Horowitz Stanford University
Jared L. Zerbe
Jared L. Zerbe Apple (United States)
Elad Alon
Elad Alon University of California, Berkeley
Luca Alloatti
Luca Alloatti ETH Zurich
Dejan Markovic
Dejan Markovic University of California, Los Angeles
Krste Asanovic
Krste Asanovic University of California, Berkeley

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