World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6638
World Ranking
10650
National Ranking
4454

Sudeep Pasricha 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 Sudeep Pasricha 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: 405 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Sudeep Pasricha 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 Sudeep Pasricha 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.

Overview

Sudeep Pasricha is affiliated with Colorado State University in the United States. Their research spans multiple domains within computer science and engineering, with a focus on electrical and electronic engineering, artificial intelligence, computer networks and communications, signal processing, and information systems.

The main topics of Sudeep Pasricha's work include:

  • Neural Networks and Reservoir Computing
  • Photonic and Optical Devices
  • Optical Network Technologies
  • Indoor and Outdoor Localization Technologies
  • Advanced Memory and Neural Computing
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing

They have contributed a significant number of publications, totaling over 200 in computer science and nearly 190 in engineering. Their frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Design and Test
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • Proceedings of the Great Lakes Symposium on VLSI 2022

Among their recent notable papers are:

  • A Survey on Energy Management for Mobile and IoT Devices, 2020, IEEE Design and Test
  • Roadmap for Cybersecurity in Autonomous Vehicles, 2022, IEEE Consumer Electronics Magazine
  • Energy and Network Aware Workload Management for Geographically Distributed Data Centers, 2021, IEEE Transactions on Sustainable Computing
  • A Survey of Silicon Photonics for Energy-Efficient Manycore Computing, 2020, IEEE Design and Test
  • Object Detection in Autonomous Vehicles: Status and Open Challenges, 2022, arXiv (Cornell University)

Sudeep Pasricha has collaborated extensively with several co-authors, including:

  • Mahdi Nikdast
  • Febin Sunny
  • Amin Shafiee
  • Ishan Thakkar
  • Danish Gufran

Their interdisciplinary expertise reflects a synthesis of artificial intelligence, photonic technologies, and networked computing systems, addressing challenges in energy efficiency, security, and system management across IoT and autonomous vehicle domains.

Best Publications

  • On-Chip Communication Architectures: System on Chip Interconnect

    Sudeep Pasricha;Nikil Dutt

  • Advanced Driver-Assistance Systems: A Path Toward Autonomous Vehicles

    Vipin Kumar Kukkala;Jordan Tunnell;Sudeep Pasricha;Thomas Bradley

  • Extending the transaction level modeling approach for fast communication architecture exploration

    Sudeep Pasricha;Nikil Dutt;Mohamed Ben-Romdhane

  • Transaction level modeling of SoC with SystemC 2.0

    Sudeep Pasricha

  • Exploring serial vertical interconnects for 3D ICs

    Sudeep Pasricha

  • Dynamic backlight adaptation for low-power handheld devices

    Sudeep Pasricha;Manev Luthra;Shivajit Mohapatra;Nikil Dutt

  • Reducing Backlight Power Consumption for Streaming Video Applications on Mobile Handheld Devices.

    Sudeep Pasricha;Shivajit Mohapatra;Manev Luthra;Nikil D. Dutt

  • A low overhead fault tolerant routing scheme for 3D Networks-on-Chip

    Sudeep Pasricha;Yong Zou

  • Fast exploration of bus-based on-chip communication architectures

    Sudeep Pasricha;Nikil Dutt;Mohamed Ben-Romdhane

  • Floorplan-aware automated synthesis of bus-based communication architectures

    Sudeep Pasricha;Nikil Dutt;Elaheh Bozorgzadeh;Mohamed Ben-Romdhane

  • Constraint-driven bus matrix synthesis for MPSoC

    Sudeep Pasricha;Nikil Dutt;Mohamed Ben-Romdhane

  • Roadmap for Cybersecurity in Autonomous Vehicles

    Unknown

  • Adapting Convolutional Neural Networks for Indoor Localization with Smart Mobile Devices

    Ayush Mittal;Saideep Tiku;Sudeep Pasricha

  • Power and Thermal-Aware Workload Allocation in Heterogeneous Data Centers

    Abdulla M. Al-Qawasmeh;Sudeep Pasricha;Anthony A. Maciejewski;Howard Jay Siegel

  • METEOR: Hybrid photonic ring-mesh network-on-chip for multicore architectures

    Shirish Bahirat;Sudeep Pasricha

  • Context-Aware Energy Enhancements for Smart Mobile Devices

    Brad K. Donohoo;Chris Ohlsen;Sudeep Pasricha;Yi Xiang

  • A Survey on Energy Management for Mobile and IoT Devices

    Sudeep Pasricha;Raid Ayoub;Michael Kishinevsky;Sumit K. Mandal

  • Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system

    Bhavesh Khemka;Ryan Friese;Sudeep Pasricha;Anthony A. Maciejewski

  • OPAL: a multi-layer hybrid photonic NoC for 3D ICs

    Sudeep Pasricha;Shirish Bahirat

  • A Survey on Silicon Photonics for Deep Learning

    Febin P. Sunny;Ebadollah Taheri;Mahdi Nikdast;Sudeep Pasricha

  • NS-FTR: a fault tolerant routing scheme for networks on chip with permanent and runtime intermittent faults

    Sudeep Pasricha;Yong Zou

  • ORB: an on-chip optical ring bus communication architecture for multi-processor systems-on-chip

    Sudeep Pasricha;Nikil Dutt

  • Application of systems theoretic process analysis to a lane keeping assist system

    Haneet Singh Mahajan;Thomas H. Bradley;Sudeep Pasricha

Frequent Co-Authors

Nikil Dutt
Nikil Dutt University of California, Irvine
Howard Jay Siegel
Howard Jay Siegel Colorado State University
Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Fadi J. Kurdahi
Fadi J. Kurdahi University of California, Irvine
Thomas H. Bradley
Thomas H. Bradley Colorado State University
Charles W. Anderson
Charles W. Anderson Colorado State University
Partha Pratim Pande
Partha Pratim Pande Washington State University
Nalini Venkatasubramanian
Nalini Venkatasubramanian University of California, Irvine
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Umit Y. Ogras
Umit Y. Ogras University of Wisconsin–Madison

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 up various flexible learning and career options. Many students begin with an online associate's degree, which can kickstart a tech career or set the foundation for further study. For those aiming higher, pursuing graduate degrees that are worth it can significantly enhance prospects for advanced roles and specialized positions.

Finances are a key consideration. Students often seek affordable online courses to minimize debt while still gaining marketable skills. Flexibility also extends to admissions: many online graduate schools with low gpa requirements provide opportunities for those who may not have a perfect academic record but are motivated to advance in tech.

Whether starting with foundational courses or progressing to a master’s degree, these diverse pathways enable students from various backgrounds to join the fast-growing field of computer science—without sacrificing quality or affordability.

Best Scientists Citing Sudeep Pasricha

Trending Scientists