World's Best Scientists 2026 revealed!
Shonali Krishnaswamy

Shonali Krishnaswamy

D-Index & Metrics

Computer Science

D-Index
39
Citations
7153
World Ranking
9686
National Ranking
299

Shonali Krishnaswamy 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 Shonali Krishnaswamy 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Shonali Krishnaswamy 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 Shonali Krishnaswamy 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Shonali Krishnaswamy is affiliated with Monash University in Australia and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their research spans a broad range of topics including data mining algorithms, machine learning in healthcare, and data stream mining techniques.

Their work frequently appears in several publication venues, including:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Portsmouth Research Portal (University of Portsmouth)
  • Proceedings of the AAAI Symposium Series
  • 2022 IEEE 17th International Conference on Control & Automation (ICCA)

Their main fields of study center on computer science, particularly:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Molecular Biology

Key research topics include:

  • Data Mining Algorithms and Applications
  • Topic Modeling
  • Machine Learning in Healthcare
  • Data Stream Mining Techniques
  • Time Series Analysis and Forecasting
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications

Several papers authored or co-authored by Shonali Krishnaswamy showcase the scope and depth of their scholarship. Notable publications include:

  • "Resource-aware Mining of Data Streams," 2020, Portsmouth Research Portal (University of Portsmouth)
  • "Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing," 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Knowledge Aware Automated Health Claims Processing with Medical Ontologies and Large Language Models," 2024, Proceedings of the AAAI Symposium Series
  • "Inductive Representation Learning of Multiple ICD Codes for Healthcare," 2022, 2022 IEEE 17th International Conference on Control & Automation (ICCA)

Shonali Krishnaswamy has collaborated with several frequent co-authors, including:

  • Sheng Jie Lui
  • Cheng Xiang
  • Mohamed Medhat Gaber
  • Arkady Zaslavsky
  • Naveen Nair

Best Publications

  • Mining data streams: a review

    Mohamed Medhat Gaber;Arkady Zaslavsky;Shonali Krishnaswamy

  • Deep convolutional neural networks on multichannel time series for human activity recognition

    Jian Bo Yang;Minh Nhut Nguyen;Phyo Phyo San;Xiao Li Li

  • Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation

    Xutao Li;Gao Cong;Xiao-Li Li;Tuan-Anh Nguyen Pham

  • Verity: a QoS metric for selecting Web services and providers

    S. Kalepu;S. Krishnaswamy;S.W. Loke

  • Using On-the-Move Mining for Mobile Crowdsensing

    Wanita Sherchan;Prem P. Jayaraman;Shonali Krishnaswamy;Arkady Zaslavsky

  • Reputation = f(user ranking, compliance, verity)

    S. Kalepu;S. Krishnaswamy;Seng Wai Loke

  • Adaptive mobile activity recognition system with evolving data streams

    Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

  • A survey of classification methods in data streams

    Mohamed Medhat Gaber;Arkady B. Zaslavsky;Shonali Krishnaswamy

  • Reasoning about Context in Uncertain Pervasive Computing Environments

    Pari Delir Haghighi;Shonali Krishnaswamy;Arkady Zaslavsky;Mohamed Medhat Gaber

  • Activity Recognition with Evolving Data Streams: A Review

    Zahraa S. Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

  • Predicting reasoning performance using ontology metrics

    Yong-Bin Kang;Yuan-Fang Li;Shonali Krishnaswamy

  • Estimating computation times of data-intensive applications

    S. Krishnaswamy;S.W. Loke;A. Zaslavsky

  • A fuzzy model for reasoning about reputation in web services

    Wanita Sherchan;Seng W. Loke;Shonali Krishnaswamy

  • Cost-efficient mining techniques for data streams

    Mohamed Medhat Gaber;Shonali Krishnaswamy;Arkady Zaslavsky

  • On-board Mining of Data Streams in Sensor Networks

    Mohamed Medhat Gaber;Shonali Krishnaswamy;Arkady Zaslavsky

  • Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

    F.D. Salim;Seng Wai Loke;A. Rakotonirainy;B. Srinivasan

  • Data stream mining

    Mohamed Medhat Gaber;Arkady B. Zaslavsky;Shonali Krishnaswamy

  • Web Information Systems Engineering - Wise 2005 Workshops

    Mike Dean;Yuanbo Guo;Woochun Jun;Roland Kaschek

  • MARS: A Personalised Mobile Activity Recognition System

    Joao B'rtolo Gomes;Shonali Krishnaswamy;Mohamed Medhat Gaber;Pedro A.C. Sousa

  • AnyNovel: detection of novel concepts in evolving data streams: An application for activity recognition

    Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

Frequent Co-Authors

Arkady Zaslavsky
Arkady Zaslavsky Deakin University
Seng Wai Loke
Seng Wai Loke Deakin University
Mohamed Medhat Gaber
Mohamed Medhat Gaber Birmingham City University
Andry Rakotonirainy
Andry Rakotonirainy Queensland University of Technology
Bala Srinivasan
Bala Srinivasan Monash University
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
João Gama
João Gama University of Porto
Prem Prakash Jayaraman
Prem Prakash Jayaraman Swinburne University of Technology
Gao Cong
Gao Cong Nanyang Technological University
Claudio Bartolini
Claudio Bartolini Hewlett-Packard (United States)

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 Computer Science in the USA opens doors to a wide range of dynamic careers. Many students consider expanding their expertise through related fields like data science, which increasingly drives innovation in tech. If affordability is a concern, you can explore data science programs that combine value with quality education.

Those interested in hardware, systems, or embedded computing may gravitate toward online electrical engineering courses USA. These flexible options let you upskill while managing personal and professional commitments.

Looking to enhance your qualifications rapidly? Seek out certifications that pay well to boost your earning potential without committing to multi-year programs.

For those aiming for further academic advancement in the shortest possible time, consider a shortest masters degree to accelerate your pathway to specialized roles or leadership positions in tech.

Best Scientists Citing Shonali Krishnaswamy

Trending Scientists

Recently Published Articles