World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
4910
World Ranking
8989
National Ranking
3816

Alex Ramirez 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 Alex Ramirez 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Alex Ramirez 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 Alex Ramirez 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

Alex Ramirez is affiliated with Google in the United States and has contributed research primarily in the fields of Health Professions and Medicine. Their work spans several subfields including General Health Professions, Health Information Management, Artificial Intelligence, Public Health, Environmental and Occupational Health, and Oncology.

The main topics addressed in their publications focus on the intersection of technology and healthcare. These topics include:

  • Artificial Intelligence in Healthcare
  • Machine Learning in Healthcare
  • Electronic Health Records Systems
  • Telemedicine and Telehealth Implementation
  • COVID-19 and healthcare impacts
  • Patient Satisfaction in Healthcare
  • Long-Term Effects of COVID-19

The recent papers authored by or associated with Alex Ramirez demonstrate a research interest in healthcare analytics, telehealth, and the effects of COVID-19. These include:

  • "Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework" (2020), published in Applied Sciences
  • "Disparities in Telehealth use During the COVID-19 Pandemic" (2022), published in Journal of Immigrant and Minority Health
  • "Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study" (2021), published in JMIR Infodemiology
  • "Integrating artificial intelligence and analytics in smart grids: a systematic literature review" (2021), published in International Journal of Energy Sector Management
  • "Associations of physical activity with gut microbiota in pre-adolescent children" (2021), published in Physical Activity and Nutrition

Frequent collaborators in Ramirez's research include:

  • Sara Santarossa
  • Stéphane Gagnon
  • Gregory Richards
  • Andrea E. Cassidy-Bushrow
  • Sabrina Azzi

Ramirez publishes in diverse venues which reflect the interdisciplinary nature of their work. These venues include:

  • Applied Sciences
  • Journal of Immigrant and Minority Health
  • JMIR Infodemiology
  • International Journal of Energy Sector Management
  • Physical Activity and Nutrition

Best Publications

  • Dynamically Controlled Resource Allocation in SMT Processors

    Francisco J. Cazorla;Alex Ramirez;Mateo Valero;Enrique Fernandez

  • Enabling preemptive multiprogramming on GPUs

    Ivan Tanasic;Isaac Gelado;Javier Cabezas;Alex Ramirez

  • Supercomputing with commodity CPUs: are mobile SoCs ready for HPC?

    Nikola Rajovic;Paul M. Carpenter;Isaac Gelado;Nikola Puzovic

  • Tibidabo: Making the case for an ARM-based HPC system

    Nikola Rajovic;Nikola Rajovic;Alejandro Rico;Alejandro Rico;Nikola Puzovic;Chris Adeniyi-Jones

  • Task Superscalar: An Out-of-Order Task Pipeline

    Yoav Etsion;Felipe Cabarcas;Alejandro Rico;Alex Ramirez

  • Multicore Resource Management

    K.J. Nesbit;M. Moreto;F.J. Cazorla;A. Ramirez

  • DiDi: Mitigating the Performance Impact of TLB Shootdowns Using a Shared TLB Directory

    Carlos Villavieja;Vasileios Karakostas;Lluis Vilanova;Yoav Etsion

  • Predictable performance in SMT processors: synergy between the OS and SMTs

    F.J. Cazorla;P.M.W. Knijnenburg;R. Sakellariou;E. Fernandez

  • Parallel Scalability of Video Decoders

    Cor Meenderinck;Arnaldo Azevedo;Ben Juurlink;Mauricio Alvarez Mesa

  • The low power architecture approach towards exascale computing

    Nikola Rajovic;Nikola Rajovic;Lluis Vilanova;Lluis Vilanova;Carlos Villavieja;Carlos Villavieja;Nikola Puzovic

  • The low-power architecture approach towards exascale computing

    Nikola Rajovic;Nikola Puzovic;Lluis Vilanova;Carlos Villavieja

  • Trace-driven simulation of multithreaded applications

    Alejandro Rico;Alejandro Duran;Felipe Cabarcas;Yoav Etsion

  • M R M

    Kyle J. Nesbit;James E. Smith;Miquel Moreto;Francisco J. Cazorla

  • Software trace cache

    Alex Ramírez;Josep-L. Larriba-Pey;Carlos Navarro;Josep Torrellas

  • Code layout optimizations for transaction processing workloads

    Alex Ramirez;Luiz André Barroso;Kourosh Gharachorloo;Robert Cohn

  • A performance characterization of high definition digital video decoding using H.264/AVC

    M. Alvarez;E. Salami;A. Ramirez;M. Valero

  • The mont-blanc prototype: an alternative approach for HPC systems

    Nikola Rajovic;Alejandro Rico;Filippo Mantovani;Daniel Ruiz

  • Energy efficiency vs. performance of the numerical solution of PDEs: An application study on a low-power ARM-based cluster

    Dominik GöDdeke;Dimitri Komatitsch;Markus Geveler;Dirk Ribbrock

  • Fetching instruction streams

    Alex Ramirez;Oliverio J. Santana;Josep L. Larriba-Pey;Mateo Valero

  • Predictable performance in SMT processors

    Francisco J. Cazorla;Peter M.W. Knijnenburg;Rizos Sakellariou;Enrique Fernández

Frequent Co-Authors

Mateo Valero
Mateo Valero Barcelona Supercomputing Center
Francisco J. Cazorla
Francisco J. Cazorla Barcelona Supercomputing Center
Eduard Ayguadé
Eduard Ayguadé Barcelona Supercomputing Center
Xavier Martorell
Xavier Martorell Universitat Politècnica de Catalunya
Rizos Sakellariou
Rizos Sakellariou University of Manchester
Jesús Labarta
Jesús Labarta Barcelona Supercomputing Center
Rosa M. Badia
Rosa M. Badia Barcelona Supercomputing Center
Per Stenström
Per Stenström Chalmers University of Technology
André Seznec
André Seznec French Institute for Research in Computer Science and Automation - INRIA
Koen De Bosschere
Koen De Bosschere Ghent University

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