World's Best Scientists 2026 revealed!
Inderveer Chana

Inderveer Chana

D-Index & Metrics

Computer Science

D-Index
38
Citations
5316
World Ranking
10344
National Ranking
111

Inderveer Chana 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 Inderveer Chana 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Inderveer Chana 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 Inderveer Chana 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Inderveer Chana is affiliated with Thapar University in India, contributing extensively to research in computer science and related interdisciplinary fields. Their work spans areas such as bioinformatics, molecular biology, artificial intelligence, and information systems. The subfields of their research include molecular biology, artificial intelligence, computer vision and pattern recognition, and computer networks and communications.

Their research topics cover a range of specialized themes, notably bioinformatics and genomic networks, IoT and edge/fog computing, blockchain technology applications and security, natural language processing techniques, topic modeling, handwritten text recognition techniques, and gene expression and cancer classification.

Recent publication venues frequently featuring their work include Archives of Computational Methods in Engineering, Concurrency and Computation Practice and Experience, Journal of Mechanics in Medicine and Biology, ACM Computing Surveys, and Procedia Computer Science.

Co-authors frequently collaborating with Inderveer Chana include Muskaan Singh, Ravinder Kumar, Rashmeet Toor, Maggi Bansal, and Siobhán Clarke.

Representative recent papers authored or co-authored by Inderveer Chana include:

  • A Survey on IoT Big Data, 2020, ACM Computing Surveys
  • Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions, 2021, Archives of Computational Methods in Engineering
  • Corpus based Machine Translation System with Deep Neural Network for Sanskrit to Hindi Translation, 2020, Procedia Computer Science
  • BSense: A parallel Bayesian hyperparameter optimized Stacked ensemble model for breast cancer survival prediction, 2022, Journal of Computational Science
  • Machine Translation Systems for Indian Languages: Review of Modelling Techniques, Challenges, Open Issues and Future Research Directions, 2020, Archives of Computational Methods in Engineering

Inderveer Chana's body of work reflects a cross-disciplinary approach integrating computing methods with biological and linguistic data, addressing challenges in areas ranging from healthcare analytics to language translation systems. Their focus on computational techniques has implications for analyzing large-scale data such as IoT streams and omics datasets.

Best Publications

  • A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges

    Sukhpal Singh;Inderveer Chana

  • Cloud Load Balancing Techniques : A Step Towards Green Computing

    Nidhi Jain Kansal;Inderveer Chana

  • QoS-Aware Autonomic Resource Management in Cloud Computing: A Systematic Review

    Sukhpal Singh;Inderveer Chana

  • Fault Tolerance- Challenges, Techniques and Implementation in Cloud Computing

    Anju Bala;Inderveer Chana

  • Energy Efficiency Techniques in Cloud Computing: A Survey and Taxonomy

    Tarandeep Kaur;Inderveer Chana

  • Cloud based intelligent system for delivering health care as a service

    Pankaj Deep Kaur;Inderveer Chana

  • QRSF: QoS-aware resource scheduling framework in cloud computing

    Sukhpal Singh;Inderveer Chana

  • Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach

    Nidhi Jain Kansal;Inderveer Chana

  • Cloud resource provisioning: survey, status and future research directions

    Sukhpal Singh;Inderveer Chana

  • IoT Based Agriculture as a Cloud and Big Data Service: The Beginning of Digital India

    Sukhpal Singh Gill;Inderveer Chana;Rajkumar Buyya

  • STAR: SLA-aware Autonomic Management of Cloud Resources

    Sukhpal Singh;Inderveer Chana;Rajkumar Buyya

  • A resource elasticity framework for QoS-aware execution of cloud applications

    Pankaj Deep Kaur;Inderveer Chana

  • Q-aware

    Sukhpal Singh;Inderveer Chana

  • CHOPPER: an intelligent QoS-aware autonomic resource management approach for cloud computing

    Sukhpal Singh Gill;Inderveer Chana;Maninder Singh;Rajkumar Buyya

  • A Survey of Various Workflow Scheduling Algorithms in Cloud Environment

    Anju Bala;Inderveer Chana

  • Data deduplication techniques for efficient cloud storage management: a systematic review

    Ravneet Kaur;Inderveer Chana;Jhilik Bhattacharya

  • A Survey on IoT Big Data: Current Status, 13 V’s Challenges, and Future Directions

    Maggi Bansal;Inderveer Chana;Siobhán Clarke

  • Bacterial foraging based hyper-heuristic for resource scheduling in grid computing

    Rajni;Inderveer Chana

  • Load Balancing and Job Migration Techniques in Grid: A Survey of Recent Trends

    Neeraj Rathore;Inderveer Chana

  • Resource provisioning and scheduling in clouds: QoS perspective

    Sukhpal Singh;Inderveer Chana

  • Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions

    Parampreet Kaur;Ashima Singh;Inderveer Chana

  • Intelligent failure prediction models for scientific workflows

    Anju Bala;Inderveer Chana

Frequent Co-Authors

Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Sukhpal Singh Gill
Sukhpal Singh Gill Queen Mary University of London
Ajith Abraham
Ajith Abraham Sai University
Siobhán Clarke
Siobhán Clarke Trinity College Dublin

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