World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4781
World Ranking
11760
National Ranking
103

Hirley Alves 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 Hirley Alves 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: 362 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Hirley Alves 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 Hirley Alves 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Hirley Alves is affiliated with the University of Oulu in Finland and has a significant academic footprint in the fields of Engineering and Computer Science. Their research spans several specialized subfields, prominently including Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Biomedical Engineering, and Artificial Intelligence.

Their body of work covers key research topics such as Advanced MIMO Systems Optimization, IoT Networks and Protocols, Energy Harvesting in Wireless Networks, Age of Information Optimization, Wireless Body Area Networks, Wireless Communication Security Techniques, and Advanced Wireless Communication Technologies.

Recent notable papers authored or co-authored by Hirley Alves include:

  • Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era (2021) published in IEEE Internet of Things Journal
  • White Paper on Critical and Massive Machine Type Communication Towards 6G (2020) published in arXiv (Cornell University)
  • Machine type communications: key drivers and enablers towards the 6G era (2021) published in EURASIP Journal on Wireless Communications and Networking
  • A NOMA-Based Q-Learning Random Access Method for Machine Type Communications (2020) published in IEEE Wireless Communications Letters
  • Multi-UAV Path Learning for Age and Power Optimization in IoT With UAV Battery Recharge (2022) published in IEEE Transactions on Vehicular Technology

Frequent collaborators include Onel L. Alcaraz López, Matti Latva-aho, Richard Demo Souza, Eslam Eldeeb, and Mohammad Shehab. The volume of co-authorship indicates sustained research partnerships across multiple projects and papers.

Hirley Alves has published extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Open Journal of the Communications Society
  • IEEE Access
  • IEEE Wireless Communications Letters

Best Publications

  • Performance of Transmit Antenna Selection Physical Layer Security Schemes

    H. Alves;R. D. Souza;M. Debbah;M. Bennis

  • Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era

    Onel L. A. Lopez;Hirley Alves;Richard Demo Souza;Samuel Montejo-Sanchez

  • Six Key Features of Machine Type Communication in 6G

    Nurul Huda Mahmood;Hirley Alves;Onel Alcaraz Lopez;Mohammad Shehab

  • White paper on critical and massive machine type communication towards 6G

    N.H. Mahmood;S. Böcker;A. Munari;F. Clazzer

  • Analysis and Performance Optimization of LoRa Networks With Time and Antenna Diversity

    Arliones Hoeller;Richard Demo Souza;Onel L. Alcaraz Lopez;Hirley Alves

  • Machine type communications: key drivers and enablers towards the 6G era

    Nurul Huda Mahmood;Stefan Böcker;Ingrid Moerman;Onel L. Alcaraz López

  • Exploiting the Direct Link in Full-Duplex Amplify-and-Forward Relaying Networks

    D. P. Moya Osorio;E. E. Benitez Olivo;H. Alves;J. C. S. Santos Filho

  • Ultrareliable Short-Packet Communications With Wireless Energy Transfer

    Onel L. Alcaraz López;Hirley Alves;Richard Demo Souza;Evelio Martín García Fernández

  • Performance of Block-Markov Full Duplex Relaying with Self Interference in Nakagami-m Fading

    H. Alves;D. B. da Costa;R. D. Souza;M. Latva-aho

  • A NOMA-Based Q -Learning Random Access Method for Machine Type Communications

    Matheus Valente da Silva;Richard Demo Souza;Hirley Alves;Taufik Abrao

  • Ultra-Reliable Cooperative Short-Packet Communications With Wireless Energy Transfer

    Onel L. Alcaraz Lopez;Evelio Martin Garcia Fernandez;Richard Demo Souza;Hirley Alves

  • Enabling mMTC in Remote Areas: LoRaWAN and LEO Satellite Integration for Offshore Wind Farms Monitoring

    Muhammad Asad Ullah;Konstantin Mikhaylov;Hirley Alves

  • Long-Range Low-Power Wireless Networks and Sampling Strategies in Electricity Metering

    Mauricio de Castro Tome;Pedro H. J. Nardelli;Hirley Alves

  • Performance Analysis of Full-Duplex Relay-Aided NOMA Systems Using Partial Relay Selection

    Anderson Tregancini;Edgar Eduardo Benitez Olivo;Diana Pamela Moya Osorio;Carlos H. M. de Lima

  • Aggregation and Resource Scheduling in Machine-Type Communication Networks: A Stochastic Geometry Approach

    Onel L. Alcaraz Lopez;Hirley Alves;Pedro H. Juliano Nardelli;Matti Latva-aho

  • Wireless Powered Communications With Finite Battery and Finite Blocklength

    Onel L. Alcaraz Lopez;Evelio Martin Garcia Fernandez;Richard Demo Souza;Hirley Alves

  • Ultra-Low Latency, Low Energy, and Massiveness in the 6G Era via Efficient CSIT-Limited Scheme

    Onel L. A. Lopez;Nurul H. Mahmood;Hirley Alves;Carlos M. Lima

  • Network Slicing for URLLC and eMBB With Max-Matching Diversity Channel Allocation

    Elco Joao dos Santos;Richard Demo Souza;Joao Luiz Rebelatto;Hirley Alves

  • K-Means Spreading Factor Allocation for Large-Scale LoRa Networks.

    Muhammad Asad Ullah;Junnaid Iqbal;Arliones Hoeller;Arliones Hoeller;Richard Demo Souza

  • Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

    Pedro H. J. Nardelli;Hirley Alves;Antti Pinomaa;Sohail Wahid

  • Six Key Enablers for Machine Type Communication in 6G.

    Nurul Huda Mahmood;Hirley Alves;Onel L. Alcaraz López;Mohammad Shehab

  • On the average spectral efficiency of interference-limited full-duplex networks

    Hirley Alves;Carlos H. M. de Lima;Pedro Henrique Juliano Nardelli;Richard Demo Souza

Frequent Co-Authors

Matti Latva-aho
Matti Latva-aho University of Oulu
Richard Demo Souza
Richard Demo Souza Universidade Federal de Santa Catarina
Daniel Benevides da Costa
Daniel Benevides da Costa King Fahd University of Petroleum and Minerals
Mehdi Bennis
Mehdi Bennis University of Oulu
Constantinos B. Papadias
Constantinos B. Papadias American College of Greece
Merouane Debbah
Merouane Debbah Khalifa University
Gabor Fodor
Gabor Fodor Ericsson (Sweden)
Riku Jantti
Riku Jantti Aalto University
Ashutosh Sabharwal
Ashutosh Sabharwal Rice University
Christian Wietfeld
Christian Wietfeld TU Dortmund University

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