World's Best Scientists 2026 revealed!
Chilukuri K. Mohan

Chilukuri K. Mohan

D-Index & Metrics

Computer Science

D-Index
31
Citations
7117
World Ranking
13380
National Ranking
5357

Chilukuri K. Mohan 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 Chilukuri K. Mohan 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Chilukuri K. Mohan 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 Chilukuri K. Mohan 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Chilukuri K. Mohan is affiliated with Syracuse University in the United States and has contributed to research predominantly in the fields of Computer Science and Engineering. Their work spans various subfields, including Artificial Intelligence, Information Systems, Control and Systems Engineering, Statistical and Nonlinear Physics, and Civil and Structural Engineering.

The research interests of Chilukuri K. Mohan cover a range of topics focused on practical and theoretical challenges. These topics include:

  • Misinformation and Its Impacts
  • Spam and Phishing Detection
  • Complex Network Analysis Techniques
  • Sepsis Diagnosis and Treatment
  • Emergency and Acute Care Studies
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research

The scientist has been involved in multiple publications across various venues. Notable publication venues where their work has appeared frequently include:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Anaesthesia
  • Preprints.org
  • Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems

Their recent papers demonstrate a focus on both biomedical applications and computational techniques. Selected recent papers include:

  • Comparison of the Aotearoa New Zealand Early Warning Score and National Early Warning Score to predict adverse inpatient events in a vital sign dataset, 2023, Anaesthesia
  • Unmasking AI-Generated Fake News Across Multiple Domains, 2024, Preprints.org
  • Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue, 2021, Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems
  • Structural Optimization with Isogeometric Representation using an Evolutionary Approach, 2024, Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Evolutionary training of deep neural networks on heterogeneous computing environments, 2022, Proceedings of the Genetic and Evolutionary Computation Conference Companion

Collaboration is a significant aspect of their research. Frequent coauthors include:

  • Subodh Kalia
  • Ziyang Lu
  • Pramod K. Varshney
  • Reza Zafarani
  • Alex Psirides

Best Publications

  • Elements of artificial neural networks

    Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Original Contribution: Forecasting the behavior of multivariate time series using neural networks

    Kanad Chakraborty;Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Fitness-distance-ratio based particle swarm optimization

    T. Peram;K. Veeramachaneni;C.K. Mohan

  • Particle swarm optimization: surfing the waves

    E. Ozcan;C.K. Mohan

  • Efficient classification for multiclass problems using modular neural networks

    R. Anand;K. Mehrotra;C.K. Mohan;S. Ranka

  • An improved algorithm for neural network classification of imbalanced training sets

    R. Anand;K.G. Mehrotra;C.K. Mohan;S. Ranka

  • Analysis of a simple particle swarm optimization system

    Ender Ozcan;Chilukuri K. Mohan

  • Optimization using particle swarms with near neighbor interactions

    Kalyan Veeramachaneni;Thanmaya Peram;Chilukuri Mohan;Lisa Ann Osadciw

  • Characterization of a class of sigmoid functions with applications to neural networks

    Anil Menon;Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Anomaly Detection Principles and Algorithms

    Kishan G. Mehrotra;Chilukuri K. Mohan;HuaMing Huang

  • Bounds on the number of samples needed for neural learning

    K.G. Mehrotra;C.K. Mohan;S. Ranka

  • Multi-phase discrete particle swarm optimization

    Buthainah Sabeeh No'man Al-kazemi;Chilukuri K. Mohan

  • Multi-phase generalization of the particle swarm optimization algorithm

    B. Al-kazemi;C.K. Mohan

  • Training feedforward neural networks using multi-phase particle swarm optimization

    B. Al-kazemi;C.K. Mohan

  • Flight graph based genetic algorithm for crew scheduling in airlines

    H. Timucin Ozdemir;Chilukuri K. Mohan

  • A Multiobjective Optimization Approach to Obtain Decision Thresholds for Distributed Detection in Wireless Sensor Networks

    E. Masazade;R. Rajagopalan;P.K. Varshney;C.K. Mohan

  • Credibility-Based Fake News Detection

    Niraj Sitaula;Chilukuri K. Mohan;Jennifer Grygiel;Xinyi Zhou

  • Genetic algorithms for graph partitioning and incremental graph partitioning

    Harpal Maini;Kishan Mehrotra;Chilukuri Mohan;Sanjay Ranka

  • Multi-objective mobile agent routing in wireless sensor networks

    R. Rajagopalan;C.K. Mohan;P. Varshney;K. Mehrotra

  • Partial shape matching using genetic algorithms

    Ender Ozcan;Chilukuri K. Mohan

  • A clustering-based discretization for supervised learning

    Ankit Gupta;Kishan G. Mehrotra;Chilukuri Mohan

  • Rank-based outlier detection

    Huaming Huang;Kishan Mehrotra;Chilukuri K. Mohan

  • Neural Networks for Fast Estimation of Social Network Centrality Measures

    Ashok Kumar;Kishan G. Mehrotra;Chilukuri K. Mohan

Frequent Co-Authors

Pramod K. Varshney
Pramod K. Varshney Syracuse University
Sanjay Ranka
Sanjay Ranka University of Florida
Ender Özcan
Ender Özcan University of Nottingham
Deepak Kapur
Deepak Kapur University of New Mexico
Fan-Gang Zeng
Fan-Gang Zeng University of California, Irvine
Arif Ghafoor
Arif Ghafoor Purdue University West Lafayette
Nadarajah Asokan
Nadarajah Asokan University of Waterloo
Ishfaq Ahmad
Ishfaq Ahmad The University of Texas at Arlington

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