World's Best Scientists 2026 revealed!
Deepak Agarwal

Deepak Agarwal

D-Index & Metrics

Computer Science

D-Index
36
Citations
5409
World Ranking
11274
National Ranking
4656

Deepak Agarwal 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 Deepak Agarwal 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Deepak Agarwal 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 Deepak Agarwal 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Deepak Agarwal is a researcher primarily affiliated with Pinterest in the United States. Their work focuses extensively on the field of Medicine with a particular emphasis on Pulmonary and Respiratory Medicine, Urology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, and Rheumatology as prominent subfields of study.

The main topics covered in Agarwal's research include:

  • Urinary Bladder and Prostate Research
  • Kidney Stones and Urolithiasis Treatments
  • Prostate Cancer Diagnosis and Treatment
  • Pediatric Urology and Nephrology Studies
  • Pelvic Floor Disorders Treatments
  • Retinal and Macular Surgery
  • Hormonal and Reproductive Studies

Frequent co-authors who have collaborated with Agarwal include:

  • Amy E. Krambeck
  • Tim Large
  • Marcelino Rivera
  • Mark Assmus
  • Matthew Lee

Agarwal's publications appear most often in the following journals:

  • The Journal of Urology
  • Journal of Endourology
  • Urology
  • World Journal of Urology
  • Journal of Energy Resources Technology

Notable recent research papers authored by Deepak Agarwal include:

  • Same Day Discharge is a Successful Approach for the Majority of Patients Undergoing Holmium Laser Enucleation of the Prostate (2021) published in European Urology Focus
  • Catheter Removal on the Same Day of Holmium Laser Enucleation of the Prostate: Outcomes of a Pilot Study (2020) published in Urology

Other related papers in the domain, while not directly authored by Agarwal but relevant to the field and timeframe, include studies focusing on large gland prostate procedures and advancements in laser enucleation technology, appearing in journals such as Journal of Endourology and European Urology Focus.

Best Publications

  • Regression-based latent factor models

    Deepak Agarwal;Bee-Chung Chen

  • fLDA: matrix factorization through latent dirichlet allocation

    Deepak Agarwal;Bee-Chung Chen

  • Multi-armed bandit problems with dependent arms

    Sandeep Pandey;Deepayan Chakrabarti;Deepak Agarwal

  • Amazon Redshift and the Case for Simpler Data Warehouses

    Unknown

  • Contextual advertising by combining relevance with click feedback

    Deepayan Chakrabarti;Deepak Agarwal;Vanja Josifovski

  • Response prediction using collaborative filtering with hierarchies and side-information

    Aditya Krishna Menon;Krishna-Prasad Chitrapura;Sachin Garg;Deepak Agarwal

  • Spatio-temporal models for estimating click-through rate

    Deepak Agarwal;Bee-Chung Chen;Pradheep Elango

  • Explore/Exploit Schemes for Web Content Optimization

    Deepak Agarwal;Bee-Chung Chen;Pradheep Elango

  • Online Models for Content Optimization

    Deepak Agarwal;Bee-chung Chen;Pradheep Elango;Nitin Motgi

  • Bandits for Taxonomies: A Model-based Approach.

    Sandeep Pandey;Deepak Agarwal;Deepayan Chakrabarti;Vanja Josifovski

  • Automatic ad format selection via contextual bandits

    Liang Tang;Romer Rosales;Ajit Singh;Deepak Agarwal

  • Predictive discrete latent factor models for large scale dyadic data

    Deepak Agarwal;Srujana Merugu

  • Estimating rates of rare events with multiple hierarchies through scalable log-linear models

    Deepak Agarwal;Rahul Agrawal;Rajiv Khanna;Nagaraj Kota

  • A spatio-temporal approach to collaborative filtering

    Zhengdong Lu;Deepak Agarwal;Inderjit S. Dhillon

  • Spatial scan statistics: approximations and performance study

    Deepak Agarwal;Andrew McGregor;Jeff M. Phillips;Suresh Venkatasubramanian

  • Localized factor models for multi-context recommendation

    Deepak Agarwal;Bee-Chung Chen;Bo Long

  • LASER: a scalable response prediction platform for online advertising

    Deepak Agarwal;Bo Long;Jonathan Traupman;Doris Xin

  • Fast online learning through offline initialization for time-sensitive recommendation

    Deepak Agarwal;Bee-Chung Chen;Pradheep Elango

  • Click shaping to optimize multiple objectives

    Deepak Agarwal;Bee-Chung Chen;Pradheep Elango;Xuanhui Wang

  • GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction

    XianXing Zhang;Yitong Zhou;Yiming Ma;Bee-Chung Chen

  • Estimating rates of rare events at multiple resolutions

    Deepak Agarwal;Andrei Zary Broder;Deepayan Chakrabarti;Dejan Diklic

  • Budget pacing for targeted online advertisements at LinkedIn

    Deepak Agarwal;Souvik Ghosh;Kai Wei;Siyu You

Frequent Co-Authors

Deepayan Chakrabarti
Deepayan Chakrabarti The University of Texas at Austin
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Wei Chu
Wei Chu Sichuan University
Andrei Z. Broder
Andrei Z. Broder Google (United States)
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Xuanhui Wang
Xuanhui Wang Google (United States)
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Jayavel Shanmugasundaram
Jayavel Shanmugasundaram Yahoo (United States)

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