World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5906
World Ranking
8946
National Ranking
3805

Hung Manh La 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 Hung Manh La 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Hung Manh La 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 Hung Manh La 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Hung Manh La is affiliated with the University of Nevada Reno in the United States. Their research spans multiple areas within engineering and computer science, focusing on robotics applications and infrastructure monitoring.

Their publication record includes papers covering robotics, civil engineering, and intelligent systems. Notable recent papers include:

  • Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms (2020, Sensors)
  • A Climbing Robot for Steel Bridge Inspection (2021, Journal of Intelligent & Robotic Systems)
  • A scalable blockchain based trust management in VANET routing protocol (2021, Journal of Parallel and Distributed Computing)
  • Architecture, Classification, and Applications of Contemporary Unmanned Aerial Vehicles (2021, IEEE Consumer Electronics Magazine)
  • Detection of delamination and rebar debonding in concrete structures with ultrasonic SH-waveform tomography (2021, Automation in Construction)

The scientist frequently collaborates with several authors, including:

  • Adarsh Sehgal
  • Son Thanh Nguyen
  • Habib Ahmed
  • Van Anh Ho
  • Muskan Sehgal

Hung Manh La's work appears often in key journals and conferences such as:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Robotics and Automation Letters
  • Automation in Construction
  • 2022 IEEE/SICE International Symposium on System Integration (SII)

Their main fields of study are Engineering and Computer Science. They have a significant number of publications in the subfields of:

  • Civil and Structural Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Mechanical Engineering
  • Biomedical Engineering

The researcher's primary topics of investigation include:

  • Infrastructure Maintenance and Monitoring
  • Soft Robotics and Applications
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Reinforcement Learning in Robotics
  • Concrete Corrosion and Durability
  • Geophysical Methods and Applications

Best Publications

  • Automated Crack Detection on Concrete Bridges

    Prateek Prasanna;Kristin J. Dana;Nenad Gucunski;Basily B. Basily

  • Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks

    Long Jin;Shuai Li;Hung Manh La;Xin Luo

  • A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

    Jesse Leaman;Hung Manh La

  • Review of Deep Reinforcement Learning for Robot Manipulation

    Unknown

  • A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance

    Ronny Salim Lim;Hung Manh La;Weihua Sheng

  • Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping

    Hung Manh La;Weihua Sheng;Jiming Chen

  • Multirobot Cooperative Learning for Predator Avoidance

    Hung Manh La;Ronny Salim Lim;Weihua Sheng

  • Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks

    Hung Manh La;Weihua Sheng

  • Developing a crack inspection robot for bridge maintenance

    Ronny Salim Lim;Hung Manh La;Zeyong Shan;Weihua Sheng

  • Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach

    Long Jin;Long Jin;Shuai Li;Hung Manh La;Xin Zhang

  • Mechatronic Systems Design for an Autonomous Robotic System for High-Efficiency Bridge Deck Inspection and Evaluation

    Hung M. La;Ronny Salim Lim;Basily B. Basily;Nenad Gucunski

  • A Review of SLAM Techniques and Security in Autonomous Driving

    Unknown

  • A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Matthew C. Deans

  • A distributed control framework for a team of unmanned aerial vehicles for dynamic wildfire tracking

    Huy X. Pham;Hung M. La;David Feil-Seifer;Matthew Deans

  • Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms.

    Habib Ahmed;Hung Manh La;Nenad Gucunski

  • Automated Robotic Monitoring and Inspection of Steel Structures and Bridges

    Hung Manh La;Tran Hiep Dinh;Nhan Huu Pham;Quang Phuc Ha

  • Dynamic path planning and replanning for mobile robots using RRT

    Devin Connell;Hung Manh La

  • A Climbing Robot for Steel Bridge Inspection

    Son Thanh Nguyen;Hung Manh La

  • Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization

    Adarsh Sehgal;Hung La;Sushil Louis;Hai Nguyen

  • Dynamic target tracking and observing in a mobile sensor network

    Hung Manh La;Weihua Sheng

  • Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Aria Nefian

  • Reinforcement Learning for Autonomous UAV Navigation Using Function Approximation

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Luan Van Nguyen

  • A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Matthew Dean

Frequent Co-Authors

Weihua Sheng
Weihua Sheng Oklahoma State University
Shuai Li
Shuai Li University of Oulu
Kristin J. Dana
Kristin J. Dana Rutgers, The State University of New Jersey
Long Jin
Long Jin Lanzhou University
Jingang Yi
Jingang Yi Rutgers, The State University of New Jersey
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma
Jiming Chen
Jiming Chen Zhejiang University
Ibrahim Khalil
Ibrahim Khalil RMIT University
I-Ming Chen
I-Ming Chen Nanyang Technological University
Xin Luo
Xin Luo Chinese Academy of Sciences

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