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Albert-László Barabási

Albert-László Barabási

· Affiliated Faculty

Northeastern University · Chemistry

Active 1989–2026

h-index234
Citations322.2k
Papers920199 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Albert-László Barabási is the Robert Gray Dodge Professor of Network Science and a University Distinguished Professor at Northeastern University. His work primarily focuses on the study of complex networks across various fields, including biological systems, social interactions, the Internet, and ecological systems. Barabási's research challenges traditional models of random graph theory by investigating the topology of networks such as the World Wide Web, cellular, and social networks, revealing that they follow a common blueprint characterized by scale-free properties. This discovery has led to a significant paradigm shift in understanding how networks function and their robustness, error tolerance, and dynamics. His contributions extend to applying network theory to biological systems, aiming to uncover the chemical architecture of cells, and to evaluating the effectiveness of traditional Chinese medicine through network science. Barabási's work has earned him recognition as an NAS Fellow and an AAAS Fellow, and he was elected to the National Academy of Sciences for his pioneering research in network science. He is also involved in interdisciplinary projects, including visualizing misinformation spread, mapping the chemical makeup of foods, and expanding the field through initiatives like the Network Science Institute, including its expansion to London. His research has had a broad impact, influencing fields from medicine to social sciences, and has been recognized with…

Research topics

  • Political Science
  • Sociology
  • Psychology
  • Computer Science
  • Social Science
  • Social psychology
  • Public relations
  • Pedagogy
  • Pathology
  • Gerontology

Selected publications

  • Historical comparison of gender inequality in scientific careers across countries and disciplines

    Proceedings of the National Academy of Sciences · 2020 · 930 citations

    Senior authorCorresponding

    There is extensive, yet fragmented, evidence of gender differences in academia suggesting that women are underrepresented in most scientific disciplines and publish fewer articles throughout a career, and their work acquires fewer citations. Here, we offer a comprehensive picture of longitudinal gender differences in performance through a bibliometric analysis of academic publishing careers by reconstructing the complete publication history of over 1.5 million gender-identified authors whose pub…

  • The Science of Science

    2021 · 208 citations

    Senior authorCorresponding

    This is the first comprehensive overview of the 'science of science,' an emerging interdisciplinary field that relies on big data to unveil the reproducible patterns that govern individual scientific careers and the workings of science. It explores the roots of scientific impact, the role of productivity and creativity, when and what kind of collaborations are effective, the impact of failure and success in a scientific career, and what metrics can tell us about the fundamental workings of scien…

  • Research gaps and opportunities in precision nutrition: an NIH workshop report

    American Journal of Clinical Nutrition · 2022 · 91 citations

  • Human-AI coevolution

    Artificial Intelligence · 2024-11-13 · 49 citations

    articleOpen access

    Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature. Recommender systems and assistants play a prominent role in human-AI coevolution, as they permeate many facets of daily life and influence human choices through online platforms. The interaction between users and AI results in a potentially endless feedback loop, wh…

  • Chemical Complexity of Food and Implications for Therapeutics

    New England Journal of Medicine · 2025-05-07 · 29 citations

    review

Frequent coauthors

  • Marc Vidal

    133 shared
  • Amitabh Sharma

    126 shared
  • Jörg Menche

    Austrian Academy of Sciences

    121 shared
  • Yang‐Yu Liu

    Harvard University

    118 shared
  • Joseph Loscalzo

    Harvard University

    107 shared
  • Frederick P. Roth

    University of Pittsburgh

    96 shared
  • Tong Hao

    83 shared
  • Michael A. Calderwood

    75 shared

Education

  • Ph.D., Physics

    Eötvös Loránd University

    1989
  • M.S., Physics

    Eötvös Loránd University

    1984
  • B.S., Physics

    Eötvös Loránd University

    1982

Awards & honors

  • American Physical Society Julius Edgar Lilienfeld Prize (202…
  • Fellow of AAAS
  • Fellow of NAS

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