Articles

Google-scholar | Orcid-id: 0000-0002-0879-7865 | Researcher-id: D-7230-2016
  1. Thomas Stoeger, Martin Gerlach, Richard I. Morimoto, and Luis A.N. Amaral
    "Large-scale investigation of the reasons why potentially important genes are ignored"
    PLOS Biology 16, e2006643 (2018)
    → Code: github
    → Media Coverage:
        PLOS Biology Primer by Ian Dunham
        Northwestern News
        New York Times by Carl Zimmer
        The Atlantic by Ed Yong
        The Economist
        Science Magazine (News)
        Nature (Daily Briefing)
        F1000-prime

  2. Martin Gerlach, Beatrice Farb, William Revelle, and Luis A.N. Amaral
    "A robust data-driven approach identifies four personality types across four large data sets"
    Nature Human Behaviour 2, 735–742 (2018) ; sharable link ; pdf ; supplementary material
    → Code: github/personality-types
    → Media Coverage:
        Northwestern News
        Scientific American
        Science Magazine (News)
        Time Magazine
        Washington Post
        Süddeutsche Zeitung (German)

  3. Martin Gerlach, Tiago P. Peixoto, and Eduardo G. Altmann
    "A network approach to topic models"
    Science Advances 4, eaaq1360 (2018) or arXiv:1708.01677
    → Code: TopSBM
    → Media Coverage:
        Northwestern Data Science Initiative
        TechXplore

  4. Laercio Dias, Martin Gerlach, Joachim Scharloth, and Eduardo G. Altmann
    "Using text analysis to quantify the similarity and evolution of scientific disciplines"
    Royal Society Open Science 5,171545 (2018) or arXiv:1706.08671

  5. Eduardo G. Altmann, Laercio Dias, and Martin Gerlach
    "Generalized Entropies and the Similarity of Texts"
    Journal of Statistical Mechanics 2017,014002 (2017) or arXiv:1611.03596

  6. Jorge C. Leitão, Jose M. Miotto, Martin Gerlach, and Eduardo G. Altmann
    "Is this scaling nonlinear?"
    Royal Society Open Science 3,150649 (2016) or arXiv:1604.02872
    → Data & code: zenodo.49367

  7. Martin Gerlach, Francesc Font-Clos, and Eduardo G. Altmann
    "Similarity of symbol frequency distributions with heavy tails"
    Physical Review X 6,021009 (2016) or arXiv:1510.00277
    → Media Coverage:
        APS Focus by Philip Ball
        Physics Today: Fine-tuning our view of how language changes
        Ria Novotny: Mathematicians have a new look at changing languages (Russian)

  8. Eduardo G. Altmann and Martin Gerlach
    "Statistical laws in linguistics"
    Chapter in the Book Creativity and Universality in Language , M. Degli Esposti, E.G. Altmann, and F. Pachet (Eds.), Springer (2016)
    Springer link or arXiv:1502.03296

  9. Martin Gerlach and Eduardo G. Altmann
    "Scaling laws and fluctuations in the statistics of word frequencies"
    New Journal of Physics 16,113010 (2014) or arXiv:1406.4441

  10. Fakhteh Ghanbarnejad*, Martin Gerlach*, Jose M. Miotto, and Eduardo G. Altmann (*: equal contribution)
    "Extracting information from S-curves of language change"
    Journal of The Royal Society Interface 11, 20141044 (2014) or arXiv:1406.4498
    → Data and code: m9.figshare.1172265
    → Media Coverage: Spiegel Online, Swiss Radio SRF4-News

  11. Martin Gerlach and Eduardo G. Altmann
    "Stochastic Model for the Vocabulary Growth in Natural Languages"
    Physical Review X 3, 021006 (2013) or arXiv:1212.1362

  12. Martin Gerlach, Sebastian Wüster, and Jan-Michael Rost
    "Kicking Electrons"
    Journal of Physics B 45, 235204 (2012) or arXiv:1110.1545
    → Selected for Highlights of 2012

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