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Amir Mosavi
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Computer Science
Hungary
2026

D-Index & Metrics

Computer Science

D-Index
77
Citations
19180
World Ranking
1298
National Ranking
1

Amir Mosavi 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 Amir Mosavi 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: 400 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Amir Mosavi 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 Amir Mosavi 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Hungary Leader Award
  • 2025 - Research.com Computer Science in Hungary Leader Award
  • 2022 - Research.com Computer Science in Hungary Leader Award

Overview

Amir Mosavi is affiliated with Óbuda University in Hungary and has contributed extensively to research in engineering and its related subfields. Their body of work covers a wide range of topics within engineering, with a strong focus on the application of artificial intelligence across various disciplines.

Their main field of study is Engineering, with particular specialization in the following subfields:

  • Civil and Structural Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Environmental Engineering
  • Building and Construction

Amir Mosavi's research addresses a number of key topics, including:

  • Energy Load and Power Forecasting
  • Hydrological Forecasting Using AI
  • COVID-19 diagnosis using AI
  • Hydrology and Watershed Management Studies
  • COVID-19 epidemiological studies
  • Innovative concrete reinforcement materials
  • Hydraulic flow and structures

They have published prolifically in several recognized venues, with frequent contributions to:

  • Preprints.org
  • Engineering Applications of Computational Fluid Mechanics
  • arXiv (Cornell University)
  • IEEE Access
  • SSRN Electronic Journal

Their recent papers illustrate an emphasis on machine learning and predictive analytics applied to engineering and epidemiology:

  • "Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis" (2020) published in IEEE Access
  • "COVID-19 Outbreak Prediction with Machine Learning" (2020) published in Algorithms
  • "Deep Learning for Stock Market Prediction" (2020) published in Entropy
  • "Predicting Standardized Streamflow index for hydrological drought using machine learning models" (2020) published in Engineering Applications of Computational Fluid Mechanics
  • "COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach" (2020) published in Mathematics

Amir collaborates frequently with several co-authors whose joint work has spanned numerous publications. Among the most frequent co-authors are:

  • Shahab S. Band
  • Sina Ardabili
  • Kwok-wing Chau
  • Narjes Nabipour
  • Shahaboddin Shamshirband

Best Publications

  • Flood prediction using machine learning models: Literature review

    Amir Mosavi;Pinar Ozturk;Kwok Wing Chau

  • An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

    Bahram Choubin;Bahram Choubin;Ehsan Moradi;Mohammad Golshan;Jan Adamowski

  • State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

    Amir Mosavi;Amir Mosavi;Amir Mosavi;Mohsen Salimi;Sina Faizollahzadeh Ardabili;Timon Rabczuk

  • Sustainable Business Models: A Review

    Saeed Nosratabadi;Amir Mosavi;Shahaboddin Shamshirband;Edmundas Kazimieras Zavadskas

  • COVID-19 outbreak prediction with machine learning

    Sina F. Ardabili;Amir Mosavi;Pedram Ghamisi;Filip Ferdinand

  • Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

    Mostafa Emadi;Ruhollah Taghizadeh-Mehrjardi;Ali Cherati;Majid Danesh

  • Sustainable business models: A review

    Saeed Nosratabadi;Amir Mosavi;Shahaboddin Shamshirband;Edmundas Kazimieras Zavadskas

  • Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis

    Mojtaba Nabipour;Pooyan Nayyeri;Hamed Jabani;S Shahab

  • Deep Learning for Stock Market Prediction

    M. Nabipour;P. Nayyeri;H. Jabani;A. Mosavi;A. Mosavi

  • Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method.

    Farzaneh Sajedi Hosseini;Bahram Choubin;Amir Mosavi;Narjes Nabipour

  • COVID-19 pandemic prediction for Hungary; A hybrid machine learning approach

    Gergo Pinter;Imre Felde;Amir Mosavi;Pedram Ghamisi

  • Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

    Husein Perez;Joseph H. M. Tah;Amir Mosavi

  • Predicting Standardized Streamflow index for hydrological drought using machine learning models

    Shahabbodin Shamshirband;Sajjad Hashemi;Hana Salimi;Saeed Samadianfard

  • Evaluating urban flood risk using hybrid method of TOPSIS and machine learning

    Elham Rafiei-Sardooi;Ali Azareh;Bahram Choubin;Amir H. Mosavi;Amir H. Mosavi

  • Integrated machine learning methods with resampling algorithms for flood susceptibility prediction.

    Esmaeel Dodangeh;Bahram Choubin;Ahmad Najafi Eigdir;Narjes Nabipour

  • Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

    Shahab S. Band;Saeid Janizadeh;Subodh Chandra Pal;Asish Saha

  • Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

    Saeed Samadianfard;Sajjad Hashemi;Katayoun Kargar;Mojtaba Izadyar

  • Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods

    Sina Ardabili;Amir Mosavi;Amir Mosavi;Annamária R. Várkonyi-Kóczy

  • Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

    Majid Dehghani;Hossein Riahi-Madvar;Farhad Hooshyaripor;Amir Mosavi;Amir Mosavi

  • Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis

    Sevda Shabani;Saeed Samadianfard;Mohammad Taghi Sattari;Amir Mosavi

  • Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction

    Amirhosein Mosavi;Farzaneh Sajedi Hosseini;Bahram Choubin;Massoud Goodarzi

  • Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

    Shahaboddin Shamshirband;Ehsan Jafari Nodoushan;Jason E. Adolf;Azizah Abdul Manaf

  • Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model

    Danial Mohammadzadeh;Seyed-Farzan Kazemi;Amir Mosavi;Ehsan Nasseralshariati

  • A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems

    Zhi Liu;Ardashir Mohammadzadeh;Hamza Turabieh;Majdi Mafarja

  • Snow avalanche hazard prediction using machine learning methods

    Bahram Choubin;Moslem Borji;Amir Mosavi;Amir Mosavi;Farzaneh Sajedi-Hosseini

Frequent Co-Authors

Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Kwok-wing Chau
Kwok-wing Chau Hong Kong Polytechnic University
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Timon Rabczuk
Timon Rabczuk Bauhaus University, Weimar
Ahmad Sedaghat
Ahmad Sedaghat Australian University Kuwait
Abdolhossein Hemmati-Sarapardeh
Abdolhossein Hemmati-Sarapardeh Shahid Bahonar University of Kerman
Alireza Baghban
Alireza Baghban Amirkabir University of Technology
Hossein Moayedi
Hossein Moayedi Duy Tan University
Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University

External Links

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Exploring these pathways can help you build a competitive skill set and expand your career possibilities across the tech landscape.

Best Scientists Citing Amir Mosavi

Herbert L. DuPont

Herbert L. DuPont

The University of Texas Health Science Center at Houston

Publications: 40

Dieu Tien Bui

Dieu Tien Bui

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Publications: 33

Saeed Shirazian

Saeed Shirazian

University of Limerick

Publications: 26

Biswajeet Pradhan

Biswajeet Pradhan

University of Technology Sydney

Publications: 23

Ozgur Kisi

Ozgur Kisi

Ilia State University

Publications: 23

Ahmed El-Shafie

Ahmed El-Shafie

United Arab Emirates University

Publications: 22

Zaher Mundher Yaseen

Zaher Mundher Yaseen

King Fahd University of Petroleum and Minerals

Publications: 21

Vahid Nourani

Vahid Nourani

University of Tabriz

Publications: 17

Kwok-wing Chau

Kwok-wing Chau

Hong Kong Polytechnic University

Publications: 15

Hamid Reza Pourghasemi

Hamid Reza Pourghasemi

Shiraz University

Publications: 14

Abdolhossein Hemmati-Sarapardeh

Abdolhossein Hemmati-Sarapardeh

Shahid Bahonar University of Kerman

Publications: 11

Omid Rahmati

Omid Rahmati

Agricultural Research Education And Extention Organization

Publications: 11

Zhi-Dong Jiang

Zhi-Dong Jiang

The University of Texas at Austin

Publications: 11

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Nadhir Al-Ansari

Luleå University of Technology

Publications: 11

Hossein Moayedi

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Publications: 11

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Mashallah Rezakazemi

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