World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9056
World Ranking
5154
National Ranking
2370

K. Vijay-Shanker 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 K. Vijay-Shanker 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

K. Vijay-Shanker 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 K. Vijay-Shanker 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

K. Vijay-Shanker is affiliated with the University of Delaware in the United States. Their research spans several fields within biochemistry, genetics, molecular biology, and computer science, with a notable focus on molecular biology and artificial intelligence.

Their work encompasses main topics such as:

  • Biomedical Text Mining and Ontologies
  • Topic Modeling
  • Natural Language Processing Techniques
  • Bioinformatics and Genomic Networks
  • MicroRNA in disease regulation
  • RNA modifications and cancer
  • Cancer-related molecular mechanisms research

Vijay-Shanker has contributed extensively to the scientific literature, with key papers including:

  • OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data, 2020, JCO Clinical Cancer Informatics
  • Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction, 2022, BMC Bioinformatics
  • emiRIT: a text-mining-based resource for microRNA information, 2021, Database
  • Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction, 2021, arXiv (Cornell University)
  • Text mining of CHO bioprocess bibliome: Topic modeling and document classification, 2023, PLoS ONE

Frequently publishing in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Glycobiology, BMC Bioinformatics, and JCO Clinical Cancer Informatics, Vijay-Shanker's work engages with preprint and peer-reviewed platforms alike.

Collaborations represent an important aspect of their research activities. Frequent co-authors include:

  • Peng Su
  • Cathy Wu
  • Samir Gupta
  • Robel Kahsay
  • Raja Mazumder

Their publication record includes a significant number of contributions related to both fundamental biological processes and computational techniques, reflecting an interdisciplinary approach to addressing complex biomedical questions.

Best Publications

  • Towards automatically generating summary comments for Java methods

    Giriprasad Sridhara;Emily Hill;Divya Muppaneni;Lori Pollock

  • The Convergence of Mildly Context-Sensitive Grammar Formalisms

    Aravind Joshi;K. Vijay-Shanker;David Weir

  • Automatic generation of natural language summaries for Java classes

    Laura Moreno;Jairo Aponte;Giriprasad Sridhara;Andrian Marcus

  • CHARACTERIZING STRUCTURAL DESCRIPTIONS PRODUCED BY VARIOUS GRAMMATICAL FORMALISMS

    K. Vijay-Shanker;David J. Weir;Aravind K. Joshi

  • The equivalence of four extensions of context-free grammars

    K. Vijay-Shanker;D. J. Weir

  • Using natural language program analysis to locate and understand action-oriented concerns

    David Shepherd;Zachary P. Fry;Emily Hill;Lori Pollock

  • Automatically capturing source code context of NL-queries for software maintenance and reuse

    Emily Hill;Lori Pollock;K. Vijay-Shanker

  • Automatically detecting and describing high level actions within methods

    Giriprasad Sridhara;Lori Pollock;K. Vijay-Shanker

  • Mining source code to automatically split identifiers for software analysis

    Eric Enslen;Emily Hill;Lori Pollock;K. Vijay-Shanker

  • Feature structures based Tree Adjoining Grammars

    K. Vijay-Shanker;A. K. Joshi

  • Using descriptions of trees in a tree adjoining grammar

    K. Vijay-Shanker

  • A biological named entity recognizer.

    Meenakshi Narayanaswamy;K. E. Ravikumar;K. Vijay-Shanker

  • iPTMnet: an integrated resource for protein post-translational modification network discovery.

    Hongzhan Huang;Cecilia N Arighi;Cecilia N Arighi;Karen E Ross;Jia Ren

  • Exploring the neighborhood with dora to expedite software maintenance

    Emily Hill;Lori Pollock;K. Vijay-Shanker

  • Parsing some constrained grammar formalisms

    K. Vijay-Shanker;David J. Weir

  • D-Tree Grammars

    Owen Rambow;K. Vijay-Shanker;David Weir

  • AMAP: automatically mining abbreviation expansions in programs to enhance software maintenance tools

    Emily Hill;Zachary P. Fry;Haley Boyd;Giriprasad Sridhara

  • Generating Parameter Comments and Integrating with Method Summaries

    Giriprasad Sridhara;Lori Pollock;K. Vijay-Shanker

  • Dialogue Act Tagging with Transformation-Based Learning

    Ken Samuel;Sandra Carberry;K. Vijay-Shanker

  • Literature mining and database annotation of protein phosphorylation using a rule-based system

    Z. Z. Hu;M. Narayanaswamy;K. E. Ravikumar;K. Vijay-Shanker

  • Some computational properties of tree adjoining grammars

    K. Vijay-Shankar;Aravind K. Joshi

Frequent Co-Authors

Cathy H. Wu
Cathy H. Wu University of Delaware
Lori Pollock
Lori Pollock University of Delaware
Cecilia N. Arighi
Cecilia N. Arighi University of Delaware
David J. Weir
David J. Weir Helsinki Institute of Physics
Aravind K. Joshi
Aravind K. Joshi University of Pennsylvania
Hongzhan Huang
Hongzhan Huang University of Delaware
Owen Rambow
Owen Rambow Stony Brook University
Martha Palmer
Martha Palmer University of Colorado Boulder
Jingyi Yu
Jingyi Yu ShanghaiTech University
Marc Robinson-Rechavi
Marc Robinson-Rechavi University of Lausanne

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 opens up numerous related degrees and career pathways, many of which can be pursued online. A data science degree is a popular choice for those interested in the intersection of programming, statistics, and analytics. These degrees are in high demand as industries depend more on big data insights.

For students leaning toward hardware, systems, or circuit design, there are several options for an online bachelor’s in electrical engineering. This pathway combines foundational science with applied problem-solving skills and is valued across multiple technology sectors.

If you're seeking rapid entry into the job market, consider certifications that pay well. Many certifications require less time than full degrees but can still provide strong earning potential in areas like cybersecurity, cloud computing, or software development.

For fast-tracking your education, some schools offer the quickest online masters degree options, allowing you to earn an advanced qualification within a year. These programs are ideal for professionals looking to boost credentials and advance their careers efficiently.

Best Scientists Citing K. Vijay-Shanker

Trending Scientists

Recently Published Articles