World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8667
World Ranking
10034
National Ranking
4228

Miguel A. Labrador 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 Miguel A. Labrador 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: 213 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Miguel A. Labrador 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 Miguel A. Labrador 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: 38 D-Index — 30th percentile

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

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

Overview

Miguel A. Labrador is affiliated with the University of South Florida in the United States. Their research spans several areas within computer science, with a notable focus on signal processing and human-computer interaction. The scientist's work intersects with applications in health care and mobile technology.

The main fields of study recorded include:

  • Computer Science

Within this broad area, Labrador's research delves into subfields such as:

  • Signal Processing
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Cardiology and Cardiovascular Medicine
  • General Health Professions

Their research topics cover a diverse range of technological and medical areas, including:

  • Speech and Audio Processing
  • Indoor and Outdoor Localization Technologies
  • Heart Failure Treatment and Management
  • Mobile Health and mHealth Applications
  • Medication Adherence and Compliance
  • Gaze Tracking and Assistive Technology
  • Hand Gesture Recognition Systems

Miguel A. Labrador has contributed to multiple peer-reviewed publications, with recent papers listed as follows:

  • Enhanced Self Care with Mobile Technology to Reduce Readmission in Congestive Heart Failure: A Pilot Study, 2021, Cardiology & Vascular Research
  • Implicit detection of user handedness in touchscreen devices through interaction analysis, 2021, PeerJ Computer Science
  • Noise signature identification using mobile phones for indoor localization, 2024, Multimedia Tools and Applications
  • Correction to: Noise signature identification using mobile phones for indoor localization, 2024, Multimedia Tools and Applications

Frequent venues for publication include:

  • Multimedia Tools and Applications
  • Cardiology & Vascular Research
  • PeerJ Computer Science

Collaborations are a notable part of Labrador's work, with frequent coauthors including:

  • Daniel Fernández-Lanvin
  • Javier de Andrés Suárez
  • Sayde King
  • Samann Pinder
  • Cristian González García

Best Publications

  • A Survey on Human Activity Recognition using Wearable Sensors

    Oscar D. Lara;Miguel A. Labrador

  • Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors

    Yueng Santiago Delahoz;Miguel Angel Labrador

  • A location-based incentive mechanism for participatory sensing systems with budget constraints

    Luis G. Jaimes;Idalides Vergara-Laurens;Miguel A. Labrador

  • Centinela: A human activity recognition system based on acceleration and vital sign data

    íScar D. Lara;Alfredo J. PéRez;Miguel A. Labrador;José D. Posada

  • Topology Control in Wireless Sensor Networks: with a companion simulation tool for teaching and research

    Miguel A. Labrador;Pedro M. Wightman

  • Emergency Reporting System

    Sean Barbeau;Philip Winters;Rafael Perez;Miguel Labrador

  • P-Sense: A participatory sensing system for air pollution monitoring and control

    Diego Mendez;Alfredo J. Perez;Miguel A. Labrador;Juan Jose Marron

  • Automating mode detection for travel behaviour analysis by using global positioning systemsenabled mobile phones and neural networks

    P.A. Gonzalez;J.S. Weinstein;S.J. Barbeau;M.A. Labrador

  • A mobile platform for real-time human activity recognition

    scar D. Lara;Miguel A. Labrador

  • A3: A Topology Construction Algorithm for Wireless Sensor Networks

    P.M. Wightman;M.A. Labrador

  • On the applicability of available bandwidth estimation techniques and tools

    Cesar D. Guerrero;Miguel A. Labrador

  • System and Method for Real-Time Travel Path Prediction and Automatic Incident Alerts

    Sean J. Barbeau;Philip L. Winters;Rafael Perez;Miguel Labrador

  • G-Sense: a scalable architecture for global sensing and monitoring

    Alfredo J Perez;Miguel A Labrador;Sean J Barbeau

  • Wireless emergency-reporting system

    Sean J. Barbeau;Philip L. Winters;Rafael Perez;Miguel Labrador

  • Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis

    Steven Díaz;Jeannie B. Stephenson;Miguel A. Labrador

  • Packet dropping policies for ATM and IP networks

    M.A. Labrador;S. Banerjee

  • Privacy-Preserving Mechanisms for Crowdsensing: Survey and Research Challenges

    Idalides J. Vergara-Laurens;Luis G. Jaimes;Miguel A. Labrador

  • Features and usability assessment of a patient-centered mobile application (HeartMapp) for self-management of heart failure

    Ponrathi Athilingam;Miguel A. Labrador;Elizabeth Frances J. Remo;Laureen Mack

  • Atarraya: a simulation tool to teach and research topology control algorithms for wireless sensor networks

    Pedro M. Wightman;Miguel A. Labrador

  • Travel assistance device: utilising global positioning system-enabled mobile phones to aid transit riders with special needs

    S.J. Barbeau;P.L. Winters;N.L. Georggi;M.A. Labrador

Frequent Co-Authors

Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Kimon P. Valavanis
Kimon P. Valavanis University of Denver
Sudeep Sarkar
Sudeep Sarkar University of South Florida
Ala Al-Fuqaha
Ala Al-Fuqaha Western Michigan University
Ashok Kumar
Ashok Kumar Indian Institute of Technology Kanpur

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

Pursuing a degree in Computer Science online has never been more accessible. Thanks to advancements in online education, there are now flexible options for students from various academic backgrounds. Many of the cheapest online degrees allow learners to save on tuition while still gaining quality education from accredited institutions.

If your academic record isn’t perfect, don’t worry—there are reputable college that accepts low gpa applicants, helping make higher education more inclusive than ever. Additionally, students looking to enter the workforce quickly can explore accelerated computer science degree programs, which can fast-track your learning and give you a head start in the tech industry.

Computer Science isn’t the only evolving pathway. Interdisciplinary fields are growing, and you might ask: what can you get with an environmental science degree? From data analysis to sustainability tech, the career options are expanding as industries adapt to digital transformation. Explore your options and choose a path that fits your interests as well as your career ambitions.

Best Scientists Citing Miguel A. Labrador

Trending Scientists

Recently Published Articles