World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
119
Citations
235984
World Ranking
147
National Ranking
86

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2019 - ACM Distinguished Member
  • 2016 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Mark Newman is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple fields, primarily within Medicine and Biochemistry, Genetics and Molecular Biology.

The scientist has contributed to several subfields, including Surgery, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine, and Public Health, Environmental and Occupational Health. Their work covers a range of key topics:

  • SARS-CoV-2 and COVID-19 Research
  • Surgical site infection prevention
  • Enhanced Recovery After Surgery
  • Cardiac, Anesthesia and Surgical Outcomes
  • Evolution and Genetic Dynamics
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • COVID-19 and healthcare impacts

Some of their recent publications include:

  • Surveillance of surgical site infection in a teaching hospital in Ghana: a prospective cohort study, 2020, Journal of Hospital Infection
  • Risk factors for surgical site infections in abdominal surgeries in Ghana: emphasis on the impact of operating rooms door openings, 2020, Epidemiology and Infection
  • Improving the WHO Surgical Safety Checklist sign-out, 2021, BJS Open
  • Multi-Antigen Viral-Vectored Vaccine Protects Against SARS-CoV-2 and Variants in a Lethal hACE2 Transgenic Mouse Model, 2025, Vaccines
  • Molecular characterization of fluoroquinolone resistant Escherichia coli from Ghana, 2020, International Journal of Infectious Diseases

The scientist frequently publishes in venues such as:

  • Journal of Hospital Infection
  • BJS Open
  • Epidemiology and Infection
  • Vaccines
  • International Journal of Infectious Diseases

Mark Newman collaborates regularly with a number of coauthors, including Mary Hauser, Arban Domi, Pratima Kumari, Antoinette Bediako-Bowan, and Enid Owusu.

Among their recognitions are being named an ACM Distinguished Member in 2019 and a Fellow of the John Simon Guggenheim Memorial Foundation in 2016.

Best Publications

  • The Structure and Function of Complex Networks

    Mark E. J. Newman

  • Community structure in social and biological networks

    Michelle Girvan;M. E. J. Newman

  • Finding and evaluating community structure in networks.

    M. E. J. Newman;M. E. J. Newman;M. Girvan;M. Girvan

  • Modularity and community structure in networks

    Mark Newman

  • Networks: An Introduction

    Mark Newman

  • Power-Law Distributions in Empirical Data

    Aaron Clauset;Aaron Clauset;Cosma Rohilla Shalizi;M. E. J. Newman

  • Finding community structure in very large networks.

    Aaron Clauset;M. E. J. Newman;Cristopher Moore

  • Power laws, Pareto distributions and Zipf's law

    M. E. J. Newman

  • The structure of scientific collaboration networks

    M. E. J. Newman

  • Assortative mixing in networks.

    M. E. J. Newman;M. E. J. Newman

  • Fast algorithm for detecting community structure in networks.

    M. E. J. Newman

  • Finding community structure in networks using the eigenvectors of matrices

    M. E. J. Newman

  • Random graphs with arbitrary degree distributions and their applications.

    M. E. J. Newman;M. E. J. Newman;S. H. Strogatz;D. J. Watts;D. J. Watts

  • The structure and dynamics of networks

    Mark E J Newman;Albert László Barabási;Duncan J. Watts;Duncan J. Watts

  • Mixing patterns in networks.

    M. E. J. Newman;M. E. J. Newman

  • Monte Carlo methods in statistical physics

    M. E. J. Newman;G. T. Barkema

  • Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality

    M. E. J. Newman;M. E. J. Newman

  • Analysis of weighted networks.

    M. E. J. Newman

  • Network Robustness and Fragility: Percolation on Random Graphs

    Duncan S. Callaway;M. E. J. Newman;M. E. J. Newman;Steven H. Strogatz;Duncan J. Watts;Duncan J. Watts

  • A measure of betweenness centrality based on random walks

    M. E. J. Newman

  • Scientific collaboration networks. I. Network construction and fundamental results.

    M. E. J. Newman;M. E. J. Newman

Frequent Co-Authors

Cristopher Moore
Cristopher Moore Santa Fe Institute
Duncan J. Watts
Duncan J. Watts University of Pennsylvania
Alessandro Sette
Alessandro Sette La Jolla Institute For Allergy & Immunology
Robert W. Chesnut
Robert W. Chesnut Johns Hopkins University
Aaron Clauset
Aaron Clauset University of Colorado Boulder
Scott Southwood
Scott Southwood Johnson & Johnson
Peter J. Mucha
Peter J. Mucha Dartmouth College
John Sidney
John Sidney La Jolla Institute For Allergy & Immunology
Mason A. Porter
Mason A. Porter University of California, Los Angeles
Duncan S. Callaway
Duncan S. Callaway University of California, Berkeley

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