World's Best Scientists 2026 revealed!
Nesime Tatbul

Nesime Tatbul

D-Index & Metrics

Computer Science

D-Index
36
Citations
12385
World Ranking
10973
National Ranking
4563

Nesime Tatbul 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 Nesime Tatbul 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: 141 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.

Nesime Tatbul 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 Nesime Tatbul 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

Nesime Tatbul is affiliated with MIT in the United States and has contributed extensively to the field of computer science. Their research output includes 56 publications predominantly in computer science, with significant focus on subfields such as artificial intelligence, signal processing, computer networks and communications, information systems, and computer vision and pattern recognition.

Tatbul's work covers a range of topics, which include:

  • Data Stream Mining Techniques
  • Data Management and Algorithms
  • Advanced Database Systems and Queries
  • Time Series Analysis and Forecasting
  • Cloud Computing and Resource Management
  • Scientific Computing and Data Management
  • Anomaly Detection Techniques and Applications

Their recent published papers feature research in various areas of data and database systems. Some of the notable papers include:

  • "Exathlon," 2021, Proceedings of the VLDB Endowment
  • "Flow-loss," 2021, Proceedings of the VLDB Endowment
  • "Robust Query Driven Cardinality Estimation under Changing Workloads," 2023, Proceedings of the VLDB Endowment
  • "Towards Observability Data Management at Scale," 2021, ACM SIGMOD Record
  • "Bao," 2022, ACM SIGMOD Record

These publications demonstrate engagement with prominent venues in database and data management research. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM SIGMOD Record
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Information Systems

Collaboration forms an essential part of Tatbul's scholarly activity. Frequent co-authors have included:

  • Ryan Marcus
  • Tim Kraska
  • Parimarjan Negi
  • Mohammad Alizadeh
  • Samuel Madden

The scope of their research spans both theoretical and applied aspects of data science, with a focus on challenges related to managing and processing data streams, query optimization, and system observability at scale.

Best Publications

  • Aurora: a new model and architecture for data stream management

    Daniel J. Abadi;Don Carney;Ugur Çetintemel;Mitch Cherniack

  • The Design of the Borealis Stream Processing Engine

    Daniel J. Abadi;Yanif Ahmad;Magdalena Balazinska;Mitch Cherniack

  • Aurora: a data stream management system

    D. Abadi;D. Carney;U. Çetintemel;M. Cherniack

  • Monitoring streams: a new class of data management applications

    Don Carney;Uǧur Çetintemel;Mitch Cherniack;Christian Convey

  • Load shedding in a data stream manager

    Nesime Tatbul;Uğur Çetintemel;Stan Zdonik;Mitch Cherniack

  • Proceedings of the VLDB Endowment

    Gustavo Alonso;Juliana Freire;Ahmet Saçan;Nesime Tatbul

  • Neo: a learned query optimizer

    Ryan Marcus;Parimarjan Negi;Hongzi Mao;Chi Zhang

  • Staying FIT: efficient load shedding techniques for distributed stream processing

    Nesime Tatbul;Uǧur Çetintemel;Stan Zdonik

  • Window-aware load shedding for aggregation queries over data streams

    Nesime Tatbul;Stan Zdonik

  • Neo: A Learned Query Optimizer

    Ryan Marcus;Parimarjan Negi;Hongzi Mao;Chi Zhang

  • Retrospective on Aurora

    Hari Balakrishnan;Magdalena Balazinska;Don Carney;Uğur Çetintemel

  • Plan-based complex event detection across distributed sources

    Mert Akdere;Uǧur Çetintemel;Nesime Tatbul

  • Distributed operation in the Borealis stream processing engine

    Yanif Ahmad;Bradley Berg;Uǧur Cetintemel;Mark Humphrey

  • Bao: Making Learned Query Optimization Practical

    Ryan Marcus;Parimarjan Negi;Hongzi Mao;Nesime Tatbul

  • SECRET: a model for analysis of the execution semantics of stream processing systems

    Irina Botan;Roozbeh Derakhshan;Nihal Dindar;Laura Haas

  • A demonstration of the BigDAWG polystore system

    A. Elmore;J. Duggan;M. Stonebraker;M. Balazinska

  • Data Ingestion for the Connected World.

    John Meehan;Cansu Aslantas;Stan Zdonik;Nesime Tatbul

  • Streaming data integration: Challenges and opportunities

    Nesime Tatbul

  • Confidence-based data management for personal area sensor networks

    Nesime Tatbul;Mark Buller;Reed Hoyt;Steve Mullen

  • S-Store: streaming meets transaction processing

    John Meehan;Nesime Tatbul;Stan Zdonik;Cansu Aslantas

  • DejaVu: declarative pattern matching over live and archived streams of events

    Nihal Dindar;Baris Güç;Patrick Lau;Asli Ozal

  • Exathlon: a benchmark for explainable anomaly detection over time series

    Vincent Jacob;Fei Song;Arnaud Stiegler;Bijan Rad

  • Precision and Recall for Time Series

    Nesime Tatbul;Tae Jun Lee;Stan Zdonik;Mejbah Alam

  • Bao: Learning to Steer Query Optimizers.

    Ryan Marcus;Parimarjan Negi;Hongzi Mao;Nesime Tatbul

Frequent Co-Authors

Asuman Dogac
Asuman Dogac SRDC Software Research & Development and Consultancy Corp.
Daniel J. Abadi
Daniel J. Abadi University of Maryland, College Park
Anand Ranganathan
Anand Ranganathan Unscrambl Inc.
Gustavo Alonso
Gustavo Alonso ETH Zurich
David Maier
David Maier Portland State University
Laura M. Haas
Laura M. Haas University of Massachusetts Amherst

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