World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7726
World Ranking
7595
National Ranking
28

Rashid Mehmood publications per year

2002: 2 publications 2003: 1 publications 2004: 2 publications 2005: 2 publications 2006: 3 publications 2007: 6 publications 2008: 5 publications 2009: 9 publications 2010: 4 publications 2011: 9 publications 2012: 7 publications 2013: 4 publications 2014: 5 publications 2015: 5 publications 2016: 9 publications 2017: 21 publications 2018: 4 publications 2019: 11 publications 2020: 31 publications 2021: 15 publications 2022: 42 publications 2023: 26 publications 2024: 11 publications 2025: 19 publications 2026: 1 publications
2002 2026

254 publications in total across all disciplines

Rashid Mehmood publication distribution in Computer Science in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2027. The highlighted bar marks where Rashid Mehmood 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Rashid Mehmood D-index placement in Computer Science in 2027

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2027. The highlighted bar marks where Rashid Mehmood 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Rashid Mehmood is affiliated with King Abdulaziz University in Saudi Arabia. Their main field of research is Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Media Technology, and Sociology and Political Science.

Their research addresses a broad range of topics, including:

  • Smart Cities and Technologies
  • IoT and Edge/Fog Computing
  • Human Mobility and Location-Based Analysis
  • Energy Load and Power Forecasting
  • Blockchain Technology Applications and Security
  • Sentiment Analysis and Opinion Mining
  • Solar Radiation and Photovoltaics

Recent notable publications by Rashid Mehmood include:

  • "Algorithmic urban planning for smart and sustainable development: Systematic review of the literature" (2023), published in Sustainable Cities and Society
  • "A review and taxonomy of wind and solar energy forecasting methods based on deep learning" (2021), published in Energy and AI
  • "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures" (2021), published in Sustainability
  • "Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda" (2021), published in Journal of Open Innovation Technology Market and Complexity
  • "Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?" (2020), published in Journal of Open Innovation Technology Market and Complexity

Rashid Mehmood has frequently collaborated with other researchers in the field. Some of the most frequent coauthors include:

  • Iyad Katib
  • Juan M. Corchado
  • Tan Yiğitcanlar
  • Aiiad Albeshri
  • Fahad Alqurashi

Among the preferred venues for publishing their work are:

  • Preprints.org
  • Sustainability
  • SSRN Electronic Journal
  • Sensors
  • Electronics

Rashid Mehmood has also contributed to book publications, particularly with Springer International Publishing. Two notable volumes include the proceedings of international conferences on distributed computing and artificial intelligence, published in 2022 and 2023.

Best Publications

  • Data Fusion and IoT for Smart Ubiquitous Environments: A Survey

    Furqan Alam;Rashid Mehmood;Iyad Katib;Nasser N. Albogami

  • Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

    Lo'ai A. Tawalbeh;Rashid Mehmood;Elhadj Benkhlifa;Houbing Song

  • A review and taxonomy of wind and solar energy forecasting methods based on deep learning

    Ghadah Alkhayat;Rashid Mehmood

  • Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures

    Tan Yigitcanlar;Rashid Mehmood;Juan M. Corchado

  • UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities

    Thaha Muhammed;Rashid Mehmood;Aiiad Albeshri;Iyad Katib

  • Analysis of Eight Data Mining Algorithms for Smarter Internet of Things (IoT)

    Furqan Alam;Rashid Mehmood;Iyad Katib;Aiiad Albeshri

  • Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

    Tan Yigitcanlar;Tan Yigitcanlar;Juan M. Corchado;Juan M. Corchado;Rashid Mehmood;Rita Yi Man Li

  • Can Building "Artificially Intelligent Cities" Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar's Perspective.

    Tan Yigitcanlar;Luke Butler;Emily Windle;Kevin C. Desouza

  • Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?

    Tan Yigitcanlar;Nayomi Kankanamge;Massimo Regona;Andres Ruiz Maldonado

  • Exploring the influence of big data on city transport operations: a Markovian approach

    Rashid Mehmood;Royston Francis Meriton;Gary Graham;Patrick Hennelly

  • UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies

    Rashid Mehmood;Furqan Alam;Nasser N. Albogami;Iyad Katib

  • Intelligent disaster management system based on cloud-enabled vehicular networks

    Zubaida Alazawi;Saleh Altowaijri;Rashid Mehmood;Mohmmad B. Abdljabar

  • Big data logistics: a health-care transport capacity sharing model

    Rashid Mehmood;Gary Graham

  • Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

    Unknown

  • Sehaa: A big data analytics tool for healthcare symptoms and diseases detection using Twitter, Apache Spark, and Machine Learning

    Shoayee Alotaibi;Rashid Mehmood;Iyad Katib;Omer Rana

  • A smart disaster management system for future cities

    Zubaida Alazawi;Omar Alani;Mohmmad B. Abdljabar;Saleh Altowaijri

  • Smarter Traffic Prediction Using Big Data, In-Memory Computing, Deep Learning and GPUs.

    Muhammad Aqib;Rashid Mehmood;Ahmed Alzahrani;Iyad A. Katib

  • Distributed Artificial Intelligence-as-a-Service (DAIaaS) for Smarter IoE and 6G Environments.

    Nourah Janbi;Iyad A. Katib;Aiiad Albeshri;Rashid Mehmood

  • Greener and Smarter Phones for Future Cities: Characterizing the Impact of GPS Signal Strength on Power Consumption

    Lo'ai A. Tawalbeh;Anas Basalamah;Rashid Mehmood;Hala Tawalbeh

  • A Survey on Security in Vehicular Ad Hoc Networks

    Saira Andleeb Gillani;Farrukh Shahzad;Amir Qayyum;Rashid Mehmood

  • Enabling Next Generation Logistics and Planning for Smarter Societies

    Sugimiyanto Suma;Rashid Mehmood;Nasser Albugami;Iyad A. Katib

  • COVID-19: Detecting Government Pandemic Measures and Public Concerns from Twitter Arabic Data Using Distributed Machine Learning.

    Ebtesam Alomari;Iyad Katib;Aiiad Albeshri;Rashid Mehmood

Frequent Co-Authors

Alexey Vinel
Alexey Vinel Halmstad University
Jaafar M. H. Elmirghani
Jaafar M. H. Elmirghani King's College London
Tan Yigitcanlar
Tan Yigitcanlar Queensland University of Technology
Juan M. Corchado
Juan M. Corchado University of Salamanca
Naveen Chilamkurti
Naveen Chilamkurti La Trobe University
Soumaya Cherkaoui
Soumaya Cherkaoui Université de Sherbrooke
Jon Crowcroft
Jon Crowcroft University of Cambridge
Marta Kwiatkowska
Marta Kwiatkowska University of Oxford
Kevin C. Desouza
Kevin C. Desouza Queensland University of Technology
Taisir E. H. El-Gorashi
Taisir E. H. El-Gorashi King's College London

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