World's Best Scientists 2026 revealed!
Naren Ramakrishnan

Naren Ramakrishnan

D-Index & Metrics

Computer Science

D-Index
60
Citations
12102
World Ranking
3286
National Ranking
1591

Naren Ramakrishnan 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 Naren Ramakrishnan 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: 475 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Naren Ramakrishnan 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 Naren Ramakrishnan 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2009 - ACM Distinguished Member

Overview

Naren Ramakrishnan is affiliated with Virginia Tech in the United States, specializing in Computer Science with a primary focus on Artificial Intelligence. Their research spans multiple subfields including Statistical and Nonlinear Physics, Molecular Biology, Computer Networks and Communications, and Epidemiology.

The scientist's work covers a range of topics, with notable emphasis on Anomaly Detection Techniques and Applications, Topic Modeling, Natural Language Processing Techniques, Network Security and Intrusion Detection, Data-Driven Disease Surveillance, Complex Network Analysis Techniques, and Scientific Computing and Data Management.

Naren Ramakrishnan has contributed extensively to academic literature with frequent publications in multiple venues. The top venues for their research include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Knowledge Discovery from Data
  • ACM Transactions on Intelligent Systems and Technology
  • bioRxiv (Cold Spring Harbor Laboratory)

Some of their recent papers are:

  • Neural Abstractive Text Summarization with Sequence-to-Sequence Models, 2021, ACM/IMS Transactions on Data Science
  • Optimal sizing of rainwater harvesting systems for domestic water usages: A systematic literature review, 2020, Resources Conservation & Recycling X
  • Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems, 2020, Big Data
  • Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist has collaborated frequently with several coauthors, including Nikhil Muralidhar, Mandar Sharma, Nathan Self, Subhodip Biswas, and Chang-Tien Lu.

In addition to journal publications, Naren Ramakrishnan has contributed to book publications with Springer Science+Business Media, notably on works titled Advances in Knowledge Discovery and Data Mining published in 2021.

Among recognized achievements, they have been named an ACM Distinguished Member since 2009.

Best Publications

  • Epidemiological modeling of news and rumors on Twitter

    Fang Jin;Edward Dougherty;Parang Saraf;Yang Cao

  • 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators

    Naren Ramakrishnan;Patrick Butler;Sathappan Muthiah;Nathan Self

  • Neural Abstractive Text Summarization with Sequence-to-Sequence Models

    Tian Shi;Yaser Keneshloo;Naren Ramakrishnan;Chandan K. Reddy

  • Privacy risks in recommender systems

    N. Ramakrishnan;B.J. Keller;B.J. Mirza;A.Y. Grama

  • Deep Reinforcement Learning for Sequence-to-Sequence Models

    Yaser Keneshloo;Tian Shi;Naren Ramakrishnan;Chandan K. Reddy

  • The human is the loop: new directions for visual analytics

    Alex Endert;M. Shahriar Hossain;Naren Ramakrishnan;Chris North

  • Misinformation Propagation in the Age of Twitter

    Fang Jin;Wei Wang;Liang Zhao;Edward Dougherty

  • Photosynthetic Acclimation Is Reflected in Specific Patterns of Gene Expression in Drought-Stressed Loblolly Pine

    Jonathan I. Watkinson;Allan A. Sioson;Cecilia Vasquez-Robinet;Maulik Shukla

  • Studying Recommendation Algorithms by Graph Analysis

    Batul J. Mirza;Benjamin J. Keller;Naren Ramakrishnan

  • Multi-Task Learning for Spatio-Temporal Event Forecasting

    Liang Zhao;Qian Sun;Jieping Ye;Feng Chen

  • Sub2Vec : Feature Learning for Subgraphs

    Bijaya Adhikari;Yao Zhang;Naren Ramakrishnan;B. Aditya Prakash

  • Incorporating Prior Domain Knowledge into Deep Neural Networks

    Nikhil Muralidhar;Mohammad Raihanul Islam;Manish Marwah;Anuj Karpatne

  • Data mining: from serendipity to science

    N. Ramakrishnan;A.Y. Grama

  • Algorithms for Storytelling

    D. Kumar;N. Ramakrishnan;R.F. Helm;M. Potts

  • Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016

    Craig J. McGowan;Matthew Biggerstaff;Michael Johansson;Karyn M. Apfeldorf

  • Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media

    Rupinder Paul Khandpur;Taoran Ji;Steve Jan;Gang Wang

  • Growing pains for global monitoring of societal events.

    Wei Wang;Ryan Kennedy;David Lazer;David Lazer;Naren Ramakrishnan

  • Turning CARTwheels: an alternating algorithm for mining redescriptions

    Naren Ramakrishnan;Deept Kumar;Bud Mishra;Malcolm Potts

  • PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software

    Elias N. Houstis;Ann C. Catlin;John R. Rice;Vassilios S. Verykios

  • In-building wideband multipath characteristics at 2.5 and 60 GHz

    C.R. Anderson;T.S. Rappaport;K. Bae;A. Verstak

  • Compression, clustering, and pattern discovery in very high-dimensional discrete-attribute data sets

    M. Koyuturk;A. Grama;N. Ramakrishnan

Frequent Co-Authors

Layne T. Watson
Layne T. Watson Virginia Tech
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
John S. Brownstein
John S. Brownstein Boston Children's Hospital
Lenwood S. Heath
Lenwood S. Heath Virginia Tech
Chris North
Chris North Virginia Tech
B. Aditya Prakash
B. Aditya Prakash Georgia Institute of Technology
Ratnesh Sharma
Ratnesh Sharma NEC (United States)
Ananth Grama
Ananth Grama Purdue University West Lafayette
Richard F. Helm
Richard F. Helm Virginia Tech
Madhav V. Marathe
Madhav V. Marathe University of Virginia

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