World's Best Scientists 2026 revealed!
Hossein Nezamabadi-pour

Hossein Nezamabadi-pour

Award Badge
Computer Science
Iran
2026

D-Index & Metrics

Computer Science

D-Index
51
Citations
18374
World Ranking
5212
National Ranking
3

Hossein Nezamabadi-pour 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 Hossein Nezamabadi-pour 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Hossein Nezamabadi-pour 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 Hossein Nezamabadi-pour 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: 51 D-Index — 63rd percentile

63% 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 Iran Leader Award
  • 2025 - Research.com Computer Science in Iran Leader Award
  • 2022 - Research.com Computer Science in Iran Leader Award

Overview

Hossein Nezamabadi-pour is affiliated with Shahid Bahonar University of Kerman in Iran. Their research spans multiple fields within computer science and engineering, with a total of 81 publications in computer science and 29 in engineering. Their work is focused on diverse subfields including computer vision and pattern recognition, artificial intelligence, media technology, electrical and electronic engineering, and management science and operations research.

The scientist has contributed extensively to various research topics. Key areas of focus include anomaly detection techniques and applications, imbalanced data classification techniques, text and document classification technologies, face and expression recognition, metaheuristic optimization algorithms research, human pose and action recognition, and multi-criteria decision making.

Nezamabadi-pour has published papers in several notable venues. Frequent publication outlets include Multimedia Tools and Applications with 6 publications, Expert Systems with Applications with 5, Pattern Analysis and Applications with 3, International Journal of Machine Learning and Cybernetics with 2, and Sensors with 2 publications.

Some of the recent papers by Nezamabadi-pour include:

  • MFS-MCDM: Multi-label feature selection using multi-criteria decision making (2020), published in Knowledge-Based Systems
  • Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection (2021), published in Swarm and Evolutionary Computation
  • Ensemble of feature selection algorithms: a multi-criteria decision-making approach (2021), published in International Journal of Machine Learning and Cybernetics
  • VMFS: A VIKOR-based multi-target feature selection (2021), published in Expert Systems with Applications
  • An efficient Pareto-based feature selection algorithm for multi-label classification (2021), published in Information Sciences

Nezamabadi-pour has collaborated regularly with several researchers. Frequent co-authors include Mohammad Bagher Dowlatshahi, Amin Hashemi, Behzad Mirzaei, Javad Mahmoodi, and Farshad Rahmati.

Best Publications

  • GSA: A Gravitational Search Algorithm

    Esmat Rashedi;Hossein Nezamabadi-pour;Saeid Saryazdi

  • BGSA: binary gravitational search algorithm

    Esmat Rashedi;Hossein Nezamabadi-Pour;Saeid Saryazdi

  • Filter modeling using gravitational search algorithm

    Unknown

  • An advanced ACO algorithm for feature subset selection

    Shima Kashef;Hossein Nezamabadi-pour

  • An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems

    K. Nekooei;M. M. Farsangi;H. Nezamabadi-Pour;K. Y. Lee

  • Image denoising in the wavelet domain using a new adaptive thresholding function

    Mehdi Nasri;Hossein Nezamabadi-pour

  • MLACO: A multi-label feature selection algorithm based on ant colony optimization

    Mohsen Paniri;Mohammad Bagher Dowlatshahi;Hossein Nezamabadi-pour

  • Edge detection using ant algorithms

    Hossein Nezamabadi-pour;Saeid Saryazdi;Esmat Rashedi

  • A comprehensive survey on gravitational search algorithm

    Esmat Rashedi;Elaheh Rashedi;Hossein Nezamabadi-pour

  • A combined approach for clustering based on K-means and gravitational search algorithms

    Abdolreza Hatamlou;Abdolreza Hatamlou;Salwani Abdullah;Hossein Nezamabadi-pour

  • Disruption: A new operator in gravitational search algorithm

    Soroor Sarafrazi;Hossein Nezamabadi-pour;Saeid Saryazdi

  • Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

    Mohammad Mohammadhassani;Hossein Nezamabadi-pour;Meldi Suhatril;Mahdi Shariati

  • A gravitational search algorithm for multimodal optimization

    Sajjad Yazdani;Hossein Nezamabadi-pour;Shima Kamyab

  • Multilabel feature selection: A comprehensive review and guiding experiments

    Shima Kashef;Hossein Nezamabadi‐pour;Bahareh Nikpour

  • A PSO-Based Optimum Design of PID Controller for a Linear Brushless DC Motor

    Mehdi Nasri;Hossein Nezamabadi-pour;Malihe Maghfoori

  • MFS-MCDM: Multi-label feature selection using multi-criteria decision making

    Amin Hashemi;Mohammad Bagher Dowlatshahi;Hossein Nezamabadi-pour

  • MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality

    Amin Hashemi;Mohammad Bagher Dowlatshahi;Hossein Nezamabadi-pour

  • Facing the classification of binary problems with a GSA-SVM hybrid system

    Soroor Sarafrazi;Hossein Nezamabadi-pour

  • Placement of SVCs and Selection of Stabilizing Signals in Power Systems

    M.M. Farsangi;H. Nezamabadi-pour;Yong-Hua Song;K.Y. Lee

  • A simultaneous feature adaptation and feature selection method for content-based image retrieval systems

    Esmat Rashedi;Hossein Nezamabadi-Pour;Saeid Saryazdi

  • An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups

    Mohammad Mohammadhassani;Hossein Nezamabadi-pour;Meldi Suhatril;Mahdi shariati

Frequent Co-Authors

Kwang Y. Lee
Kwang Y. Lee Baylor University
Mohammed Jameel
Mohammed Jameel King Khalid University
Mohd Zamin Jumaat
Mohd Zamin Jumaat University of Malaya
Mahdi Shariati
Mahdi Shariati Duy Tan University
Salwani Abdullah
Salwani Abdullah National University of Malaysia
Nikos D. Hatziargyriou
Nikos D. Hatziargyriou National Technical University of Athens
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi

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

Exploring online education in computer science opens up numerous flexible and affordable pathways. For those just starting their academic journey, pursuing the easiest associate's degree to get can offer a quick entry point into tech fields, with minimal upfront commitment.

Cost is also a significant factor for many learners. You can save on tuition by enrolling in the cheapest accredited online doctoral programs or picking the most respected online university that aligns with your career aspirations. Both options provide the credibility and flexibility needed to advance in computer science without sacrificing quality.

The tech industry is always evolving, and specialized programs like a game design masters online can help you break into exciting niches such as video game development or interactive media.

Whether you’re seeking an entry-level credential or advanced specialization, there is a wide range of online programs to help you build relevant skills and achieve your professional goals from anywhere in the world.

Best Scientists Citing Hossein Nezamabadi-pour

Trending Scientists

Recently Published Articles