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D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
16428
World Ranking
3312
National Ranking
974

Overview

Peter J. Mucha is affiliated with Dartmouth College in the United States and has a research profile spanning multiple interdisciplinary fields. Their primary area of study lies within Physics and Astronomy, with a strong focus on Statistical and Nonlinear Physics. This expertise intersects with several subfields including Cognitive Neuroscience, Molecular Biology, Experimental and Cognitive Psychology, and Artificial Intelligence.

The scientist's research incorporates complex approaches and themes, notably in areas such as Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, and Mental Health Research Topics. Other major topics include Functional Brain Connectivity Studies, Neural Dynamics and Brain Function, Bioinformatics and Genomic Networks, and Advanced Graph Neural Networks.

Peter J. Mucha has contributed to numerous scientific papers published in a variety of venues. These frequent publication venues include UNC Libraries, arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, and Multiscale Modeling and Simulation.

Noteworthy recent papers authored or co-authored by Mucha include:

  • The emergence of a functionally flexible brain during early infancy, 2020, Proceedings of the National Academy of Sciences
  • E. coli catheter-associated urinary tract infections are associated with distinctive virulence and biofilm gene determinants, 2022, JCI Insight
  • A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults, 2022, Proceedings of the National Academy of Sciences
  • Accrual of functional redundancy along the lifespan and its effects on cognition, 2021, NeuroImage
  • Altered neural flexibility in children with attention-deficit/hyperactivity disorder, 2022, Molecular Psychiatry

Collaborations are a significant aspect of Mucha's work, with frequent co-authors including Mason A. Porter, Emily B. Falk, Kevin N. Ochsner, David M. Lydon-Staley, and Yoona Kang.

Best Publications

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Peter J. Mucha;Thomas Richardson;Thomas Richardson;Kevin Macon;Mason A. Porter

  • Dynamic reconfiguration of human brain networks during learning.

    Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha

  • Communities in networks

    Mason A. Porter;Jukka Pekka Onnela;Jukka Pekka Onnela;Jukka Pekka Onnela;Peter J. Mucha

  • Social structure of Facebook networks

    Amanda L. Traud;Amanda L. Traud;Peter J. Mucha;Mason A. Porter

  • Robust detection of dynamic community structure in networks.

    Danielle S. Bassett;Mason A. Porter;Nicholas F. Wymbs;Scott T. Grafton

  • Comparing Community Structure to Characteristics in Online Collegiate Social Networks

    Amanda L. Traud;Eric D. Kelsic;Peter J. Mucha;Mason A. Porter

  • Core-periphery structure in networks

    M. Puck Rombach;M. Puck Rombach;Mason A. Porter;James H. Fowler;Peter J. Mucha

  • Task-based core-periphery organization of human brain dynamics.

    Danielle S. Bassett;Nicholas F. Wymbs;M. Puck Rombach;Mason A. Porter

  • Rigid fluid: animating the interplay between rigid bodies and fluid

    Mark Carlson;Peter J. Mucha;Greg Turk

  • Particle-based simulation of granular materials

    Nathan Bell;Yizhou Yu;Peter J. Mucha

  • Differential recruitment of the sensorimotor putamen and frontoparietal cortex during motor chunking in humans

    Nicholas F. Wymbs;Danielle S. Bassett;Peter J. Mucha;Mason A. Porter

  • A network analysis of committees in the U.S. House of Representatives

    Mason A. Porter;Peter J. Mucha;M. E. J. Newman;Casey M. Warmbrand

  • Core-Periphery Structure in Networks (Revisited)

    M. Puck Rombach;Mason A. Porter;Mason A. Porter;James H. Fowler;Peter J. Mucha

  • Functional classification of long non-coding RNAs by k-mer content.

    Jessime M Kirk;Susan O Kim;Susan O Kim;Kaoru Inoue;Kaoru Inoue;Matthew J Smola;Matthew J Smola

  • Community structure in Congressional cosponsorship networks

    Yan Zhang;A.J. Friend;Amanda L. Traud;Mason A. Porter

  • Melting and flowing

    Mark Carlson;Peter J. Mucha;R. Brooks Van Horn;Greg Turk

  • EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS.

    Dane Taylor;Sean A. Myers;Aaron Clauset;Mason A. Porter

  • Water drops on surfaces

    Huamin Wang;Peter J. Mucha;Greg Turk

  • A model for velocity fluctuations in sedimentation

    Peter J. Mucha;Shang You Tee;David A. Weitz;Boris I. Shraiman

  • Topological data analysis of contagion maps for examining spreading processes on networks

    Dane Taylor;Florian Klimm;Heather A. Harrington;Miroslav Kramár

  • Community structure in the United States House of Representatives

    Mason A. Porter;Peter J. Mucha;M. E. J. Newman;A. J. Friend

  • Core-Periphery Structure in Networks

    Michaela Puck Rombach;Mason Alexander Porter;James H. Fowler;Peter J. Mucha;Peter J. Mucha

Frequent Co-Authors

Mason A. Porter
Mason A. Porter University of California, Los Angeles
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Jukka-Pekka Onnela
Jukka-Pekka Onnela Harvard University
Scott T. Grafton
Scott T. Grafton University of California, Santa Barbara
James H. Fowler
James H. Fowler University of California, San Diego
Greg Turk
Greg Turk Georgia Institute of Technology
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Mark Newman
Mark Newman University of Michigan–Ann Arbor
Michael P. Brenner
Michael P. Brenner University of Michigan–Ann Arbor
David A. Weitz
David A. Weitz Harvard University

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