World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8571
World Ranking
5678
National Ranking
2581

Vineet R. Kamat 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 Vineet R. Kamat 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Vineet R. Kamat 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 Vineet R. Kamat 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Vineet R. Kamat is affiliated with the University of Michigan-Ann Arbor in the United States and has contributed extensively in the field of engineering, with a specialized focus on building and construction, control and systems engineering, and industrial and manufacturing engineering.

Their research spans several subfields including civil and structural engineering and cognitive neuroscience. The primary topics covered in their work include:

  • BIM and Construction Integration
  • Innovations in Concrete and Construction Materials
  • 3D Surveying and Cultural Heritage
  • Robot Manipulation and Learning
  • Occupational Health and Safety Research
  • Infrastructure Maintenance and Monitoring
  • Modular Robots and Swarm Intelligence

Vineet R. Kamat has authored impactful papers published predominantly between 2020 and 2021. Recent papers include:

  • "From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry" (2021) published in the Journal of Information Technology in Construction
  • "Human-Robot Collaboration in Construction: Classification and Research Trends" (2021) published in the Journal of Construction Engineering and Management
  • "Interactive and Immersive Process-Level Digital Twin for Collaborative Human-Robot Construction Work" (2021) published in the Journal of Computing in Civil Engineering
  • "Teaching robots to perform quasi-repetitive construction tasks through human demonstration" (2020) published in Automation in Construction
  • "Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction" (2020) published in the Journal of Computing in Civil Engineering

Their frequent co-authors include Carol C. Menassa, Xi Wang, Ci-Jyun Liang, Hongrui Yu, and Wes McGee. Publication venues where their work often appears are:

  • arXiv (Cornell University)
  • Automation in Construction
  • Journal of Computing in Civil Engineering
  • Proceedings of the... ISARC
  • Journal of Construction Engineering and Management

Overall, Vineet R. Kamat's research contributions focus on the integration of advanced robotics and digital technologies in construction engineering, emphasizing collaboration between humans and robots, process-level digital twins, and safety measures in construction environments.

Best Publications

  • From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

    Min Deng;Carol C. Menassa;Vineet R. Kamat

  • Evaluation of position tracking technologies for user localization in indoor construction environments

    Hiam M. Khoury;Vineet R. Kamat

  • Visualizing Simulated Construction Operations in 3D

    Vineet R. Kamat;Julio C. Martinez

  • Remote proximity monitoring between mobile construction resources using camera-mounted UAVs

    Daeho Kim;Meiyin Liu;Sang Hyun Lee;Vineet R. Kamat

  • Ubiquitous location tracking for context-specific information delivery on construction sites

    Amir H. Behzadan;Zeeshan Aziz;Chimay J. Anumba;Vineet R. Kamat

  • Fast plane extraction in organized point clouds using agglomerative hierarchical clustering

    Chen Feng;Yuichi Taguchi;Vineet R. Kamat

  • Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography

    Da Li;Carol C. Menassa;Vineet R. Kamat

  • Enhancing Perceived Safety in Human–Robot Collaborative Construction Using Immersive Virtual Environments

    Sangseok You;Jeong-Hwan Kim;Sanghyun Lee;Vineet Kamat

  • Human–Robot Collaboration in Construction: Classification and Research Trends

    Ci-Jyun Liang;Xi Wang;Vineet R. Kamat;Carol C. Menassa

  • Vision guided autonomous robotic assembly and as-built scanning on unstructured construction sites

    Chen Feng;Yong Xiao;Aaron Willette;Wes McGee

  • Evaluation of Augmented Reality for Rapid Assessment of Earthquake-Induced Building Damage

    Vineet R. Kamat;Sherif El-Tawil

  • Augmented reality visualization

    Amir H. Behzadan;Suyang Dong;Vineet R. Kamat

  • Collaborative visualization of engineering processes using tabletop augmented reality

    Suyang Dong;Amir H. Behzadan;Feng Chen;Vineet R. Kamat

  • Research in Visualization Techniques for Field Construction

    Vineet R. Kamat;Julio C. Martinez;Martin Fischer;Mani Golparvar-Fard

  • Georeferenced Registration of Construction Graphics in Mobile Outdoor Augmented Reality

    Amir H. Behzadan;Vineet R. Kamat

  • Enabling discovery‐based learning in construction using telepresent augmented reality

    Amir H. Behzadan;Vineet R. Kamat

  • Interactive and Immersive Process-Level Digital Twin for Collaborative Human–Robot Construction Work

    Xi Wang;Ci-Jyun Liang;Carol C. Menassa;Vineet R. Kamat

  • Investigating the effect of indoor thermal environment on occupants’ mental workload and task performance using electroencephalogram

    Xi Wang;Da Li;Carol C. Menassa;Vineet R. Kamat

  • General-purpose modular hardware and software framework for mobile outdoor augmented reality applications in engineering

    Amir H. Behzadan;Brian W. Timm;Vineet R. Kamat

  • Visualization of construction graphics in outdoor augmented reality

    Amir H. Behzadan;Vineet R. Kamat

  • Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction

    Mehrdad Arashpour;Vineet Kamat;Yu Bai;Ron Wakefield

Frequent Co-Authors

Chen Feng
Chen Feng New York University
SangHyun Lee
SangHyun Lee University of Michigan–Ann Arbor
Yuichi Taguchi
Yuichi Taguchi Mitsubishi Electric (United States)
Sherif El-Tawil
Sherif El-Tawil University of Michigan–Ann Arbor
Atul Prakash
Atul Prakash University of Michigan–Ann Arbor
Jerome P. Lynch
Jerome P. Lynch University of Michigan–Ann Arbor
Mehrdad Arashpour
Mehrdad Arashpour Monash University
Yu Bai
Yu Bai Peking University
Khalil Najafi
Khalil Najafi University of Michigan–Ann Arbor
Victor C. Li
Victor C. Li University of Michigan–Ann Arbor

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