World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
32606
World Ranking
1546
National Ranking
802

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to the measurement and analysis of networks and distributed systems
  • 2010 - ACM Fellow For contributions to the measurement and analysis of networks and distributed systems.
  • 2009 - ACM Senior Member
  • 2009 - ACM Distinguished Member

Overview

Mark Crovella is affiliated with Boston University in the United States and has contributed extensively to the fields of biochemistry, genetics, molecular biology, and computer science. Their research output spans a broad range of interdisciplinary topics involving bioinformatics, computational theory, and machine learning applications.

The main fields of study for Mark Crovella include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Their subfields of focus cover:

  • Molecular Biology
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Transportation
  • Computer Networks and Communications

In terms of specific research topics, their work engages with:

  • Bioinformatics and Genomic Networks
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • Machine Learning in Bioinformatics
  • Gene Regulatory Network Analysis
  • Human Mobility and Location-Based Analysis
  • Urban Transport and Accessibility

Mark Crovella has published numerous papers including recent contributions such as:

  • "Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity" (2020, Nature Communications)
  • "Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease" (2020, Alzheimer's Research & Therapy)
  • "State-of-the-art computational methods to predict protein-protein interactions with high accuracy and coverage" (2023, PROTEOMICS)
  • "Frog embryos use multiple levels of temporal pattern in risk assessment for vibration-cued escape hatching" (2022, Animal Cognition)
  • "Revealing an Inherently Limiting Factor in Human Mobility Prediction" (2022, IEEE Transactions on Emerging Topics in Computing)

The frequent publication venues for their work include:

  • arXiv (Cornell University)
  • PROTEOMICS
  • Nature Communications
  • Cell
  • Alzheimer's Research & Therapy

Collaborations have been an important aspect of their research, with frequent co-authors such as:

  • Simon Kasif
  • Andrew Emili
  • Loqman Salamatian
  • Scott Anderson
  • Paul Barford

The professional recognition received by Mark Crovella includes several distinctions from leading organizations: they were named an IEEE Fellow in 2012 for contributions to the measurement and analysis of networks and distributed systems.

Additional honors include:

  • ACM Fellow (2010) for contributions to the measurement and analysis of networks and distributed systems
  • ACM Senior Member (2009)
  • ACM Distinguished Member (2009)

Best Publications

  • Self-similarity in World Wide Web traffic: evidence and possible causes

    Mark E. Crovella;Azer Bestavros

  • Generating representative Web workloads for network and server performance evaluation

    Paul Barford;Mark Crovella

  • Mining anomalies using traffic feature distributions

    Anukool Lakhina;Mark Crovella;Christophe Diot

  • Diagnosing network-wide traffic anomalies

    Anukool Lakhina;Mark Crovella;Christophe Diot

  • Method and apparatus for reliable and scalable distribution of data files in distributed networks

    Vijay R. Basani;Krishna Mangiapudi;Lynne M. Murach;Leroy R. Karge

  • Measuring bottleneck link speed in packet-switched networks

    Robert L. Carter;Mark E. Crovella

  • Characteristics of WWW Client-based Traces

    Carlos Cunha;Azer Bestavros;Mark Crovella

  • On the relationship between file sizes, transport protocols, and self-similar network traffic

    Kihong Park;Gitae Kim;M. Crovella

  • Characterizing reference locality in the WWW

    V. Almeida;A. Bestavros;M. Crovella;A. de Oliveira

  • Structural analysis of network traffic flows

    Anukool Lakhina;Konstantina Papagiannaki;Mark Crovella;Christophe Diot

  • Heavy-tailed probability distributions in the World Wide Web

    Mark E. Crovella;Murad S. Taqqu;Azer Bestavros

  • Changes in Web client access patterns: Characteristics and caching implications

    Paul Barford;Azer Bestavros;Adam Bradley;Mark Crovella

  • Characterization of network-wide anomalies in traffic flows

    Anukool Lakhina;Mark Crovella;Christiphe Diot

  • Constraint-based geolocation of internet hosts

    Bamba Gueye;Artur Ziviani;Mark Crovella;Serge Fdida

  • Delegation forwarding

    Vijay Erramilli;Mark Crovella;Augustin Chaintreau;Christophe Diot

  • Server selection using dynamic path characterization in wide-area networks

    R.L. Carter;M.E. Crovella

  • Effect of traffic self-similarity on network performance

    Kihong Park;Gitae Kim;Mark E. Crovella

  • Method and apparatus for dynamic resource discovery and information distribution in a data network

    Vijay R. Basani;Krishna Mangipudi;Lynne M. Murach;Leroy R. Karge

  • Virtual landmarks for the internet

    Liying Tang;Mark Crovella

  • Sampling biases in IP topology measurements

    A. Lakhina;J.W. Byers;M. Crovella;P. Xie

Frequent Co-Authors

Azer Bestavros
Azer Bestavros Boston University
Paul Barford
Paul Barford University of Wisconsin–Madison
Christophe Diot
Christophe Diot Google (United States)
Eric D. Kolaczyk
Eric D. Kolaczyk McGill University
John W. Byers
John W. Byers Boston University
Mor Harchol-Balter
Mor Harchol-Balter Carnegie Mellon University
Evimaria Terzi
Evimaria Terzi Boston University
Ibrahim Matta
Ibrahim Matta Boston University
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Nina Taft
Nina Taft Google (United States)

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