World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5334
World Ranking
13487
National Ranking
5394

Overview

Tanya Y. Berger-Wolf is affiliated with The Ohio State University in the United States and has contributed to the field of computer science through numerous research publications. Their work spans areas such as computer vision, artificial intelligence, molecular biology, ecological modeling, and ecology.

The scientist has authored papers covering a variety of topics, including species distribution and climate change, video surveillance and tracking methods, cell image analysis techniques, wildlife ecology and conservation, neural dynamics and brain function, functional brain connectivity studies, and genomics and phylogenetic studies.

Recent papers include:

  • Perspectives in machine learning for wildlife conservation, 2022, Nature Communications
  • Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations, 2022, Human Vaccines & Immunotherapeutics
  • Flukebook: an open-source AI platform for cetacean photo identification, 2022, Mammalian Biology
  • Ethogram-based automatic wild animal monitoring through inertial sensors and GPS data, 2020, Ecological Informatics
  • Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis, 2021, Journal of Medical Internet Research

Frequent co-authors in their research include:

  • Charles V. Stewart
  • Daniel I. Rubenstein
  • Wei-Lun Chao
  • Jenna Kline
  • Elizabeth Campolongo

Their research has appeared most often in the following venues:

  • arXiv (Cornell University)
  • Methods in Ecology and Evolution
  • Journal of Medical Internet Research
  • International Journal of Computer Vision
  • Nature Communications

Best Publications

  • A framework for community identification in dynamic social networks

    Chayant Tantipathananandh;Tanya Berger-Wolf;David Kempe

  • A framework for analysis of dynamic social networks

    Tanya Y. Berger-Wolf;Jared Saia

  • Sampling community structure

    Arun S. Maiya;Tanya Y. Berger-Wolf

  • HotSpotter — Patterned species instance recognition

    J. P. Crall;C. V. Stewart;T. Y. Berger-Wolf;D. I. Rubenstein

  • Network Structure Inference, A Survey: Motivations, Methods, and Applications

    Ivan Brugere;Brian Gallagher;Tanya Y. Berger-Wolf

  • Mining Periodic Behavior in Dynamic Social Networks

    M. Lahiri;T.Y. Berger-Wolf

  • Benefits of bias: towards better characterization of network sampling

    Arun S. Maiya;Tanya Y. Berger-Wolf

  • Biometric animal databases from field photographs: identification of individual zebra in the wild

    Mayank Lahiri;Chayant Tantipathananandh;Rosemary Warungu;Daniel I. Rubenstein

  • Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild”

    Silvia Zuffi;Angjoo Kanazawa;Tanya Berger-Wolf;Michael Black

  • Finding spread blockers in dynamic networks

    Habiba Habiba;Yintao Yu;Tanya Y. Berger-Wolf;Jared Saia

  • Meaningful selection of temporal resolution for dynamic networks

    Rajmonda Sulo;Tanya Berger-Wolf;Robert Grossman

  • Finding Communities in Dynamic Social Networks

    Chayant Tantipathananandh;Tanya Y. Berger-Wolf

  • Visualizing the evolution of community structures in dynamic social networks

    Khairi Reda;Chayant Tantipathananandh;Andrew Johnson;Jason Leigh

  • Structure Prediction in Temporal Networks using Frequent Subgraphs

    M. Lahiri;T.Y. Berger-Wolf

  • Reconstructing sibling relationships in wild populations

    Tanya Y. Berger-Wolf;Saad I. Sheikh;Bhaskar DasGupta;Mary V. Ashley

  • Online sampling of high centrality individuals in social networks

    Arun S. Maiya;Tanya Y. Berger-Wolf

  • An Animal Detection Pipeline for Identification

    Jason Parham;Charles Stewart;Jonathan Crall;Daniel Rubenstein

  • Discrete sensor placement problems in distribution networks

    T. Y. Berger-Wolf;W. E. Hart;J. Saia

  • Constant-factor approximation algorithms for identifying dynamic communities

    Chayant Tantipathananandh;Tanya Berger-Wolf

  • Periodic subgraph mining in dynamic networks

    Mayank Lahiri;Tanya Y. Berger-Wolf

  • Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models

    Aynaz Taheri;Kevin Gimpel;Tanya Berger-Wolf

Frequent Co-Authors

Bhaskar DasGupta
Bhaskar DasGupta University of Illinois at Chicago
Wanpracha Art Chaovalitwongse
Wanpracha Art Chaovalitwongse University of Arkansas at Fayetteville
Robert V. Kenyon
Robert V. Kenyon University of Illinois at Chicago
Ashfaq Khokhar
Ashfaq Khokhar Iowa State University
Emre Kiciman
Emre Kiciman Microsoft (United States)
Kevin Gimpel
Kevin Gimpel Toyota Technological Institute at Chicago
David Kempe
David Kempe University of Southern California
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Teresa M. Przytycka
Teresa M. Przytycka National Institutes of Health
Robin J. Mermelstein
Robin J. Mermelstein University of Illinois at Chicago

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