World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5145
World Ranking
10362
National Ranking
4337

B. Aditya Prakash 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 B. Aditya Prakash 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

B. Aditya Prakash 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 B. Aditya Prakash 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

B. Aditya Prakash is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the field of Computer Science, with significant focus on Artificial Intelligence, Epidemiology, Management Science and Operations Research, Signal Processing, and Modeling and Simulation.

The scientist's work includes contributions to a variety of topics, notably:

  • COVID-19 epidemiological studies
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Data-Driven Disease Surveillance
  • Forecasting Techniques and Applications
  • Influenza Virus Research Studies
  • Stock Market Forecasting Methods

Recent publications by B. Aditya Prakash cover a range of subjects linked to infectious disease modeling and forecasting. Notable papers include:

  • "Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S." (2020) published in bioRxiv (Cold Spring Harbor Laboratory)
  • "DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting" (2020) in bioRxiv (Cold Spring Harbor Laboratory)
  • "DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations" (2024) in Nature Communications
  • "Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence

B. Aditya Prakash has published extensively in venues including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Zenodo (CERN European Organization for Nuclear Research)

The scientist frequently collaborates with other researchers, with coauthors such as:

  • Alexander Rodríguez
  • Harshavardhan Kamarthi
  • Jiaming Cui
  • Anil Vullikanti
  • Bijaya Adhikari

Best Publications

  • Rise and fall patterns of information diffusion: model and implications

    Yasuko Matsubara;Yasushi Sakurai;B. Aditya Prakash;Lei Li

  • Gelling, and melting, large graphs by edge manipulation

    Hanghang Tong;B. Aditya Prakash;Tina Eliassi-Rad;Michalis Faloutsos

  • Spotting Culprits in Epidemics: How Many and Which Ones?

    B. Aditya Prakash;Jilles Vreeken;Christos Faloutsos

  • Threshold conditions for arbitrary cascade models on arbitrary networks

    B. Aditya Prakash;Deepayan Chakrabarti;Nicholas C. Valler;Michalis Faloutsos

  • Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S.

    Evan L Ray;Nutcha Wattanachit;Jarad Niemi;Abdul Hannan Kanji

  • Virus propagation on time-varying networks: theory and immunization algorithms

    B. Aditya Prakash;Hanghang Tong;Nicholas Valler;Michalis Faloutsos

  • EigenSpokes: surprising patterns and scalable community chipping in large graphs

    B. Aditya Prakash;Ashwin Sridharan;Mukund Seshadri;Sridhar Machiraju

  • Winner takes all: competing viruses or ideas on fair-play networks

    B. Aditya Prakash;Alex Beutel;Roni Rosenfeld;Christos Faloutsos

  • On the Vulnerability of Large Graphs

    Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad

  • Sub2Vec : Feature Learning for Subgraphs

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

  • Interacting viruses in networks: can both survive?

    Alex Beutel;B. Aditya Prakash;Roni Rosenfeld;Christos Faloutsos

  • Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks

    B. Aditya Prakash;Deepayan Chakrabarti;Michalis Faloutsos;Nicholas Valler

  • Node Immunization on Large Graphs: Theory and Algorithms

    Chen Chen;Hanghang Tong;B. Aditya Prakash;Charalampos E. Tsourakakis

  • Efficiently spotting the starting points of an epidemic in a large graph

    B. Aditya Prakash;Jilles Vreeken;Christos Faloutsos

  • Epidemic spread in mobile Ad Hoc networks: determining the tipping point

    Nicholas C. Valler;B. Aditya Prakash;Hanghang Tong;Michalis Faloutsos

  • Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread.

    Sudip Saha;Abhijin Adiga;B. Aditya Prakash;Anil Kumar S. Vullikanti

  • DeepCOVID: An Operational Deep Learning -driven Framework for Explainable Real-time COVID-19 Forecasting

    Alexander Rodríguez;Anika Tabassum;Jiaming Cui;Jiajia Xie

  • DeepDiffuse: Predicting the 'Who' and 'When' in Cascades

    Mohammad Raihanul Islam;Sathappan Muthiah;Bijaya Adhikari;B. Aditya Prakash

  • Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models

    Liangzhe Chen;K. S. Tozammel Hossain;Patrick Butler;Naren Ramakrishnan

  • Metric forensics: a multi-level approach for mining volatile graphs

    Keith Henderson;Tina Eliassi-Rad;Christos Faloutsos;Leman Akoglu

  • Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US

    Estee Y Cramer;Evan L Ray;Velma K Lopez;Johannes Bracher

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Michalis Faloutsos
Michalis Faloutsos University of California, Riverside
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Tina Eliassi-Rad
Tina Eliassi-Rad Northeastern University
Jilles Vreeken
Jilles Vreeken Max Planck Society
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Deepayan Chakrabarti
Deepayan Chakrabarti The University of Texas at Austin
Pinar Keskinocak
Pinar Keskinocak Georgia Institute of Technology

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