World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
18656
World Ranking
2727
National Ranking
1358

Luis Gravano 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 Luis Gravano 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: 142 publications — 23rd percentile

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

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

Luis Gravano 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 Luis Gravano 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Luis Gravano is affiliated with Columbia University in the United States. Their research expertise lies primarily within the field of Computer Science, with a substantive focus on Artificial Intelligence as well as statistical and nonlinear physics. Additional subfields of their work include Information Systems, Transportation, and Communication.

Their scholarly output features topics related to:

  • Topic Modeling
  • Complex Network Analysis Techniques
  • Advanced Text Analysis Techniques
  • Expert Finding and Q&A Systems
  • Text and Document Classification Technologies
  • Human Mobility and Location-Based Analysis
  • Public Relations and Crisis Communication

Publications by Luis Gravano have appeared in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media

Recent papers authored or co-authored by Luis Gravano include:

  • "Beyond Trending Topics: Real-World Event Identification on Twitter," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Selecting Quality Twitter Content for Events," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Automatic Identification and Presentation of Twitter Content for Planned Events," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only," 2020, arXiv (Cornell University)
  • "Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher," 2020, arXiv (Cornell University)

Luis Gravano frequently collaborates with a number of coauthors, among the most common are:

  • Daniel Hsu
  • Hila Becker
  • Mor Naaman
  • Giannis Karamanolakis
  • Eden Shaveet

Best Publications

  • Snowball: extracting relations from large plain-text collections

    Eugene Agichtein;Luis Gravano

  • Beyond Trending Topics: Real-World Event Identification on Twitter

    Hila Becker;Mor Naaman;Luis Gravano

  • Efficient IR-style keyword search over relational databases

    Vagelis Hristidis;Luis Gravano;Yannis Papakonstantinou

  • Approximate String Joins in a Database (Almost) for Free

    Luis Gravano;Panagiotis G. Ipeirotis;H. V. Jagadish;Nick Koudas

  • k-Shape: Efficient and Accurate Clustering of Time Series

    John Paparrizos;Luis Gravano

  • k-Shape: Efficient and Accurate Clustering of Time Series

    Unknown

  • Learning similarity metrics for event identification in social media

    Hila Becker;Mor Naaman;Luis Gravano

  • The Stanford Digital Library Metadata Architecture

    Michelle Baldonado;Chen Chuan K. Chang;Luis Gravano;Andreas Paepcke

  • GlOSS: text-source discovery over the Internet

    Luis Gravano;Héctor García-Molina;Anthony Tomasic

  • STHoles: a multidimensional workload-aware histogram

    Nicolas Bruno;Surajit Chaudhuri;Luis Gravano

  • Hip and trendy: Characterizing emerging trends on Twitter

    Mor Naaman;Hila Becker;Luis Gravano

  • Evaluating Top-k Selection Queries

    Surajit Chaudhuri;Luis Gravano

  • Evaluating top-k queries over Web-accessible databases

    N. Bruno;L. Gravano;A. Marian

  • Top-k selection queries over relational databases: Mapping strategies and performance evaluation

    Nicolas Bruno;Surajit Chaudhuri;Luis Gravano

  • Computing Geographical Scopes of Web Resources

    Junyan Ding;Luis Gravano;Narayanan Shivakumar

  • Evaluating top-k queries over web-accessible databases

    Amélie Marian;Nicolas Bruno;Luis Gravano

  • Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies

    Luis Gravano;Hector Garcia-Molina

  • Text joins in an RDBMS for web data integration

    Luis Gravano;Panagiotis G. Ipeirotis;Nick Koudas;Divesh Srivastava

  • The effectiveness of GIOSS for the text database discovery problem

    Luis Gravano;Héctor García-Molina;Anthony Tomasic

  • STARTS: Stanford proposal for Internet meta-searching

    Luis Gravano;Chen-Chuan K. Chang;Héctor García-Molina;Andreas Paepcke

  • Hip andTrendy: Characterizing EmergingTrends onTwitter

    Mor Naaman;Hila Becker;Luis Gravano

Frequent Co-Authors

Panagiotis G. Ipeirotis
Panagiotis G. Ipeirotis New York University
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Eugene Agichtein
Eugene Agichtein Emory University
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Nicolas Bruno
Nicolas Bruno Microsoft (United States)
Mor Naaman
Mor Naaman Cornell University
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Mehran Sahami
Mehran Sahami Stanford University
Daniel Hsu
Daniel Hsu Columbia University
Andreas Paepcke
Andreas Paepcke Stanford University

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