World's Best Scientists 2026 revealed!
Mahdi Jalili

Mahdi Jalili

D-Index & Metrics

Computer Science

D-Index
51
Citations
7901
World Ranking
5432
National Ranking
164

Mahdi Jalili 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 Mahdi Jalili 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: 288 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Mahdi Jalili 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 Mahdi Jalili 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.

Overview

Mahdi Jalili is affiliated with RMIT University in Australia. Their research primarily spans the fields of engineering and computer science, with a significant focus on electrical and electronic engineering, artificial intelligence, statistical and nonlinear physics, control and systems engineering, and automotive engineering.

Their work covers a range of topics including smart grid energy management, electric vehicles and infrastructure, complex network analysis techniques, microgrid control and optimization, advanced graph neural networks, advanced battery technologies research, and recommender systems and techniques.

Some of the recent papers authored or co-authored by Mahdi Jalili include:

  • Finding influential nodes in social networks based on neighborhood correlation coefficient (2020), Knowledge-Based Systems
  • A deep learning based trust- and tag-aware recommender system (2021), Neurocomputing
  • Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks (2021), Nature Communications
  • Control and Optimisation of Power Grids Using Smart Meter Data: A Review (2023), Sensors
  • Power Grids as Complex Networks: Resilience and Reliability Analysis (2021), IEEE Access

Mahdi Jalili frequently collaborates with several coauthors, including:

  • Xinghuo Yu
  • Ali Moradi Amani
  • Hui Song
  • Lasantha Meegahapola
  • Parham Moradi

They have published extensively in various venues, with a notable number of publications in:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Expert Systems with Applications
  • IEEE Access
  • Energy Reports

Best Publications

  • Information cascades in complex networks

    Mahdi Jalili;Matjaž Perc

  • A novel multivariate filter method for feature selection in text classification problems

    Mahdieh Labani;Parham Moradi;Fardin Ahmadizar;Mahdi Jalili

  • Cascaded failures in weighted networks.

    Baharan Mirzasoleiman;Mahmoudreza Babaei;Mahdi Jalili;Mohammadali Safari

  • Link prediction in multiplex online social networks.

    Mahdi Jalili;Yasin Orouskhani;Milad Asgari;Nazanin Alipourfard

  • Evaluating Collaborative Filtering Recommender Algorithms: A Survey

    Mahdi Jalili;Sajad Ahmadian;Maliheh Izadi;Parham Moradi

  • Artificial Intelligence and Internet of Things for Autonomous Vehicles

    Hamid Khayyam;Bahman Javadi;Mahdi Jalili;Reza N. Jazar;Reza N. Jazar

  • Social power and opinion formation in complex networks

    Mahdi Jalili

  • Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger

    Hossein Rouhani;Mahdi Jalili;Babak N. Araabi;Wolfgang Eppler

  • Finding influential nodes in social networks based on neighborhood correlation coefficient

    Ahmad Zareie;Amir Sheikhahmadi;Mahdi Jalili;Mohammad Sajjad Khaksar Fasaei

  • Identification of influential users in social network using gray wolf optimization algorithm

    Ahmad Zareie;Amir Sheikhahmadi;Mahdi Jalili

  • Functional Brain Networks: Does the Choice of Dependency Estimator and Binarization Method Matter?

    Mahdi Jalili

  • A probabilistic model to resolve diversity---accuracy challenge of recommendation systems

    Amin Javari;Mahdi Jalili

  • Ranking Nodes in Signed Social Networks

    Moshen Shahriari;Mahdi Jalili

  • A trust-aware recommendation method based on Pareto dominance and confidence concepts

    Mohammad Mahdi Azadjalal;Parham Moradi;Alireza Abdollahpouri;Mahdi Jalili

  • TCARS: Time- and Community-Aware Recommendation System

    Fatemeh Rezaeimehr;Parham Moradi;Sajad Ahmadian;Nooruldeen Nasih Qader

  • An imputation-based matrix factorization method for improving accuracy of collaborative filtering systems

    Manizheh Ranjbar;Parham Moradi;Mostafa Azami;Mahdi Jalili

  • Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks.

    Homayoun Hamedmoghadam;Mahdi Jalili;Hai L. Vu;Lewi Stone

  • A deep learning based trust- and tag-aware recommender system

    Sajad Ahmadian;Milad Ahmadian;Mahdi Jalili

  • Power Grids as Complex Networks: Resilience and Reliability Analysis

    Ali Moradi Amani;Mahdi Jalili

  • Cascading Failure Tolerance of Modular Small-World Networks

    M. Babaei;H. Ghassemieh;M. Jalili

  • Identification of influential users in social networks based on users interest

    Ahmad Zareie;Amir Sheikhahmadi;Mahdi Jalili

  • Community Detection in Signed Networks: the Role of Negative ties in Different Scales

    Pouya Esmailian;Mahdi Jalili

  • Correlation of cascade failures and centrality measures in complex networks

    Ryan Ghanbari;Mahdi Jalili;Xinghuo Yu

Frequent Co-Authors

Xinghuo Yu
Xinghuo Yu RMIT University
Maria G. Knyazeva
Maria G. Knyazeva University of Lausanne
Reto Meuli
Reto Meuli University of Lausanne
Kim Q. Do
Kim Q. Do University of Lausanne
Matjaž Perc
Matjaž Perc University of Maribor
Lasantha Meegahapola
Lasantha Meegahapola RMIT University
Sajad Jafari
Sajad Jafari Amirkabir University of Technology
Adrian Weller
Adrian Weller University of Cambridge
Hamid Khayyam
Hamid Khayyam RMIT University
Guanrong Chen
Guanrong Chen City University of Hong Kong

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