World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5874
World Ranking
9827
National Ranking
4137

Rahul Mangharam 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 Rahul Mangharam 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: 210 publications — 50th percentile

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

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

Rahul Mangharam 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 Rahul Mangharam 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Rahul Mangharam is affiliated with the University of Pennsylvania in the United States. Their research spans multiple fields within computer science and engineering, with a focus on artificial intelligence, control and systems engineering, and automotive engineering. Their work also extends into computer vision and pattern recognition as well as cardiology and cardiovascular medicine.

The scientist's research topics include:

  • Autonomous Vehicle Technology and Safety
  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Formal Methods in Verification
  • Control Systems and Identification

Among recent publications, the following papers are notable:

  • Data-driven switching modeling for MPC using Regression Trees and Random Forests (2020), published in Nonlinear Analysis Hybrid Systems
  • Differentiable Safe Controller Design Through Control Barrier Functions (2022), published in IEEE Control Systems Letters
  • Anytime Computation and Control for Autonomous Systems (2020), published in IEEE Transactions on Control Systems Technology
  • Stress Testing Autonomous Racing Overtake Maneuvers with RRT (2022), published in 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack (2022), published in 2022 IEEE Intelligent Vehicles Symposium (IV)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • IFAC-PapersOnLine
  • IEEE Transactions on Biomedical Engineering
  • Nonlinear Analysis Hybrid Systems

Rahul Mangharam has collaborated extensively with several co-authors including Hongrui Zheng, Johannes Betz, Zirui Zang, Shuo Yang, and Yash Vardhan Pant. These collaborations have contributed to a significant number of publications in their main research fields.

Best Publications

  • Data-driven model predictive control using random forests for building energy optimization and climate control

    Francesco Smarra;Francesco Smarra;Achin Jain;Tullio de Rubeis;Dario Ambrosini

  • Cyber–Physical Modeling of Implantable Cardiac Medical Devices

    Zhihao Jiang;M. Pajic;R. Mangharam

  • The Wireless Control Network: A New Approach for Control Over Networks

    M. Pajic;S. Sundaram;G. J. Pappas;R. Mangharam

  • RT-Link: A Time-Synchronized Link Protocol for Energy- Constrained Multi-hop Wireless Networks

    A. Rowe;R. Mangharam;R. Rajkumar

  • Modeling and verification of a dual chamber implantable pacemaker

    Zhihao Jiang;Miroslav Pajic;Salar Moarref;Rajeev Alur

  • GrooveNet: A Hybrid Simulator for Vehicle-to-Vehicle Networks

    Rahul Mangharam;Daniel Weller;Raj Rajkumar;Priyantha Mudalige

  • Voice over Sensor Networks

    R. Mangharam;A. Rowe;R. Rajkumar;R. Suzuki

  • Toward patient safety in closed-loop medical device systems

    David Arney;Miroslav Pajic;Julian M. Goldman;Insup Lee

  • MLE+: a tool for integrated design and deployment of energy efficient building controls

    Willy Bernal;Madhur Behl;Truong Nghiem;Rahul Mangharam

  • Smooth operator: Control using the smooth robustness of temporal logic

    Yash Vardhan Pant;Houssam Abbas;Rahul Mangharam

  • Model-Driven Safety Analysis of Closed-Loop Medical Systems

    Miroslav Pajic;Rahul Mangharam;Oleg Sokolsky;David Arney

  • FireFly: a cross-layer platform for real-time embedded wireless networks

    Rahul Mangharam;Anthony Rowe;Raj Rajkumar

  • GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks

    Rahul Mangharam;Daniel S. Weller;Daniel D. Stancil;Ragunathan Rajkumar

  • The Swarm at the Edge of the Cloud

    Edward A. Lee;Jan Rabaey;Björn Hartmann;John Kubiatowicz

  • Closed-loop verification of medical devices with model abstraction and refinement

    Zhihao Jiang;Miroslav Pajic;Rajeev Alur;Rahul Mangharam

  • Fly-by-logic: control of multi-drone fleets with temporal logic objectives

    Yash Vardhan Pant;Houssam Abbas;Rhudii A. Quaye;Rahul Mangharam

  • Learning and control using gaussian processes: towards bridging machine learning and controls for physical systems

    Achin Jain;Truong X. Nghiem;Manfred Morari;Rahul Mangharam

  • MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks

    S. Pollin;R. Mangharam;B. Bougard;L. Van der Perre

  • From Verification to Implementation: A Model Translation Tool and a Pacemaker Case Study

    Miroslav Pajic;Zhihao Jiang;Insup Lee;Oleg Sokolsky

  • Real-Time Heart Model for Implantable Cardiac Device Validation and Verification

    Zhihao Jiang;Miroslav Pajic;Allison Connolly;Sanjay Dixit

  • F1/10: An Open-Source Autonomous Cyber-Physical Platform

    Matthew O'Kelly;Varundev Sukhil;Houssam Abbas;Jack Harkins

  • Cyber-Physical Modeling of Implantable Cardiac Medical Devices The authors present an approach for verification of heart pacemaker device software, and a heart model that is effective when a pacemaker drives the heart into a harmful condition.

    Zhihao Jiang;Miroslav Pajic;Rahul Mangharam

Frequent Co-Authors

Miroslav Pajic
Miroslav Pajic Duke University
George J. Pappas
George J. Pappas University of Pennsylvania
Ragunathan Rajkumar
Ragunathan Rajkumar Carnegie Mellon University
Shreyas Sundaram
Shreyas Sundaram Purdue University West Lafayette
Anthony Rowe
Anthony Rowe Carnegie Mellon University
Insup Lee
Insup Lee University of Pennsylvania
Oleg Sokolsky
Oleg Sokolsky University of Pennsylvania
Rajeev Alur
Rajeev Alur University of Pennsylvania
Sofie Pollin
Sofie Pollin KU Leuven

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

Exploring computer science in the USA opens doors to various online degree options that can be flexible and budget-friendly. For those just starting out, an associate degree in 6 months online can be a quick way to gain foundational skills and boost employability.

Advancing further, an affordable master degree online allows you to specialize in key computer science areas without breaking the bank. If your goal is to move into senior roles and drive change within organizations, consider the best online doctorate in organizational leadership.

For those interested in academia or top-tier leadership positions, explore the cheapest accredited online doctoral programs that provide recognized credentials at an affordable cost. Each pathway offers unique benefits, making online education in computer science accessible to students at any stage of their professional journey.

Best Scientists Citing Rahul Mangharam

Trending Scientists

Recently Published Articles