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D-Index & Metrics

Computer Science

D-Index
52
Citations
10374
World Ranking
5104
National Ranking
231

Ulf Leser 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 Ulf Leser 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: 296 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Ulf Leser 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 Ulf Leser 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Ulf Leser is affiliated with Humboldt-Universität zu Berlin in Germany. Their research spans primarily across computer science, with a significant focus on artificial intelligence as well as molecular biology. Other notable subfields include computer networks and communications, signal processing, and information systems and management.

The scientist has contributed extensively to topics such as biomedical text mining and ontologies, topic modeling, scientific computing and data management, time series analysis and forecasting, distributed and parallel computing systems, anomaly detection techniques and applications, and natural language processing techniques.

Ulf Leser's publication record includes papers in various respected venues. Among the recent works are these papers:

  • "Leveraging Large Language Models for Decision Support in Personalized Oncology" (2023, JAMA Network Open)
  • "Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network" (2021, Geophysical Journal International)
  • "The transformer earthquake alerting model: a new versatile approach to earthquake early warning" (2020, Geophysical Journal International)
  • "Finding k-shortest paths with limited overlap" (2020, The VLDB Journal)
  • "TEASER: early and accurate time series classification" (2020, Data Mining and Knowledge Discovery)

They have frequently published in venues such as arXiv (Cornell University), Bioinformatics, Zenodo (CERN European Organization for Nuclear Research), Data Mining and Knowledge Discovery, and the Proceedings of the VLDB Endowment.

Ulf Leser has collaborated regularly with a set of coauthors including Fabian Lehmann, Samuele Garda, Mario Sänger, Leon Weber, and Arik Ermshaus. These coauthors appear often across many publications, indicating sustained research partnerships.

Best Publications

  • Querying distributed RDF data sources with SPARQL

    Bastian Quilitz;Ulf Leser

  • The Stratosphere platform for big data analytics

    Alexander Alexandrov;Rico Bergmann;Stephan Ewen;Johann-Christoph Freytag

  • Deep learning with word embeddings improves biomedical named entity recognition.

    Maryam Habibi;Leon Weber;Mariana L. Neves;David Luis Wiegandt

  • ChemSpot: a hybrid system for chemical named entity recognition

    Tim Rocktäschel;Michael Weidlich;Ulf Leser

  • Fast and practical indexing and querying of very large graphs

    Silke Trißl;Ulf Leser

  • Fast and Accurate Time Series Classification with WEASEL

    Patrick Schäfer;Ulf Leser

  • Quality-driven Integration of Heterogenous Information Systems

    Felix Naumann;Ulf Leser;Johann Christoph Freytag

  • Federated Information Systems: Concepts, Terminology and Architectures

    Susanne Busse;Ralf-Detlef Kutsche;Ulf Leser;Herbert Weber

  • What makes a gene name? Named entity recognition in the biomedical literature.

    Ulf Leser;Jörg Hakenberg

  • A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature

    Domonkos Tikk;Philippe E. Thomas;Peter Palaga;Jörg Hakenberg

  • Completeness of integrated information sources

    Felix Naumann;Johann-Christoph Freytag;Ulf Leser

  • AliBaba: PubMed as a graph

    Conrad Plake;Torsten Schiemann;Marcus Pankalla;Jörg Hakenberg

  • Informationsintegration: Architekturen und Methoden zur Integration verteilter und heterogener Datenquellen.

    Ulf Leser;Felix Naumann

  • DynamicCloudSim: Simulating heterogeneity in computational clouds

    Marc Bux;Ulf Leser

  • A query language for biological networks

    Ulf Leser

  • A Flexible Framework for Integrating Annotations from Different Tools and Tag Sets

    Christian Chiarcos;Stefanie Dipper;Michael Götze;Ulf Leser

  • A hierarchical approach to model web query interfaces for web source integration

    Eduard C. Dragut;Thomas Kabisch;Clement Yu;Ulf Leser

  • Regular path queries on large graphs

    André Koschmieder;Ulf Leser

  • BioCreative III interactive task: an overview.

    Cecilia N Arighi;Phoebe M Roberts;Shashank Agarwal;Sanmitra Bhattacharya

  • Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network

    Jannes Münchmeyer;Dino Bindi;Ulf Leser;Frederik Tilmann

  • Multivariate Time Series Classification with WEASEL+MUSE

    Patrick Schäfer;Ulf Leser

  • Simple tricks for improving pattern-based information extraction from the biomedical literature

    Quang Long Nguyen;Domonkos Tikk;Domonkos Tikk;Ulf Leser

Frequent Co-Authors

Felix Naumann
Felix Naumann Hasso Plattner Institute
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
Christine Sers
Christine Sers Charité - University Medicine Berlin
Michael Hummel
Michael Hummel Charité - University Medicine Berlin
Reinhold Schäfer
Reinhold Schäfer Charité - University Medicine Berlin
Frederik Tilmann
Frederik Tilmann Freie Universität Berlin
Dino Bindi
Dino Bindi University of Potsdam
Tim Rocktäschel
Tim Rocktäschel University College London
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Hans Lehrach
Hans Lehrach Max Planck Society

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