World's Best Scientists 2026 revealed!
Heikki Mannila

Heikki Mannila

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Computer Science
Finland
2026

D-Index & Metrics

Computer Science

D-Index
82
Citations
41270
World Ranking
932
National Ranking
4

Heikki Mannila 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 Heikki Mannila 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: 279 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Heikki Mannila 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 Heikki Mannila 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: 82 D-Index — 94th percentile

94% 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

  • 2026 - Research.com Computer Science in Finland Leader Award
  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2023 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award

Overview

Heikki Mannila is affiliated with Aalto University in Finland and focuses primarily on engineering, with specific attention to electrical and electronic engineering, artificial intelligence, and building and construction.

Their research spans several main topics, including advanced clustering algorithms research, building energy and comfort optimization, energy load and power forecasting, data mining algorithms and applications, data management and algorithms, graph theory and CDMA systems, and simulation techniques and applications.

The scientist has published multiple papers across well-known venues. Recent publications include:

  • "Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining," 2020, arXiv (Cornell University)
  • "The Hadamard decomposition problem," 2024, Data Mining and Knowledge Discovery
  • "Issue Information," 2020, Statistical Analysis and Data Mining The ASA Data Science Journal
  • "Issue Information," 2020, Statistical Analysis and Data Mining The ASA Data Science Journal
  • "Issue Information," 2020, Statistical Analysis and Data Mining The ASA Data Science Journal

Frequent co-authors collaborating with Heikki Mannila include:

  • Jia Li
  • Guang Cheng
  • Ranjan Maitra
  • Bertrand Clarke
  • Sayan Mukherjee

The scientist's work is often featured in several venues, such as:

  • Statistical Analysis and Data Mining The ASA Data Science Journal
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Data Mining and Knowledge Discovery
  • Energy and Buildings

Best Publications

  • Principles of Data Mining

    David J. Hand;Padhraic Smyth;Heikki Mannila

  • Fast discovery of association rules

    Rakesh Agrawal;Heikki Mannila;Ramakrishnan Srikant;Hannu Toivonen

  • Discovery of Frequent Episodes in Event Sequences

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • Random projection in dimensionality reduction: applications to image and text data

    Ella Bingham;Heikki Mannila

  • Clustering aggregation

    A. Gionis;H. Mannila;P. Tsaparas

  • Efficient algorithms for discovering association rules

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • Finding interesting rules from large sets of discovered association rules

    Mika Klemettinen;Heikki Mannila;Pirjo Ronkainen;Hannu Toivonen

  • Levelwise Search and Borders of Theories in KnowledgeDiscovery

    Heikki Mannila;Hannu Toivonen

  • Rule discovery from time series

    Gautam Das;King-Ip Lin;Heikki Mannila;Gopal Renganathan

  • Discovering Frequent Episodes in Sequences.

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • A database perspective on knowledge discovery

    Tomasz Imielinski;Heikki Mannila

  • Disjunctive datalog

    Thomas Eiter;Georg Gottlob;Heikki Mannila

  • Discovering generalized episodes using minimal occurrences

    Heikki Mannila;Hannu Toivonen

  • Finding Similar Time Series

    Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • Sistema y método para proporcionar recomendaciones sensibles al contexto a los servicios digitales

    Sorvari Antti;Kähäri Markus;Toivonen Hannu;Mannila Heikki

  • Verkamo: Fast Discovery of Association Rules

    Rakesh Agrawal;Heikki Mannila;Rayadurgam Srikant;Hannu T. T. Toivonen

  • The Discrete Basis Problem

    P. Miettinen;T. Mielikainen;A. Gionis;G. Das

  • The Design of Relational Databases

    Heikki Mannila;Kari-Jouko Räihä

  • Assessing data mining results via swap randomization

    Aristides Gionis;Heikki Mannila;Taneli Mielikäinen;Panayiotis Tsaparas

  • Time series segmentation for context recognition in mobile devices

    J. Himberg;K. Korpiaho;H. Mannila;J. Tikanmaki

  • Algorithms and Applications

    Tapio Elomaa;Heikki Mannila;Pekka Orponen

Frequent Co-Authors

Hannu Toivonen
Hannu Toivonen University of Helsinki
Aristides Gionis
Aristides Gionis Royal Institute of Technology
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Esko Ukkonen
Esko Ukkonen University of Helsinki
David J. Hand
David J. Hand Imperial College London
Kari-Jouko Räihä
Kari-Jouko Räihä Tampere University
Gautam Das
Gautam Das The University of Texas at Arlington
Mikael Fortelius
Mikael Fortelius University of Helsinki
Juha Kere
Juha Kere Karolinska Institute
Leena Peltonen
Leena Peltonen University of Helsinki

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