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David B. Skillicorn

David B. Skillicorn

D-Index & Metrics

Computer Science

D-Index
35
Citations
5953
World Ranking
11609
National Ranking
455

Overview

David B. Skillicorn is affiliated with Queen's University in Canada and has contributed extensively to the fields of computer science, social sciences, and physics and astronomy. Their research predominantly focuses on areas including artificial intelligence, statistical and nonlinear physics, sociology and political science, information systems, and communication.

Themes prominently featured in their work encompass complex network analysis techniques, stock market forecasting methods, advanced graph neural networks, topic modeling, auditing and governance related to earnings management, opinion dynamics and social influence, as well as internet traffic analysis and secure electronic voting.

Throughout their academic career, David B. Skillicorn has collaborated frequently with several researchers, including Mosab Alfaqeeh, Christian Leuprecht, Clark McCauley, Lukasz Lapczyk, and D. Nam.

The venues in which they have frequently published include Social Network Analysis and Mining, arXiv (Cornell University), TUGraz OPEN Library (Graz University of Technology), ACM SIGMIS Database the DATABASE for Advances in Information Systems, and SSRN Electronic Journal.

Among their recent publications are:

  • Structured Parallel Computation in Structured Documents, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Community detection in social networks by spectral embedding of typed graphs, 2023, Social Network Analysis and Mining
  • Modeling signed social networks using spectral embedding, 2021, Social Network Analysis and Mining
  • Novel Information Discovery and Collaborative Filtering to Support Group Creativity, 2020, ACM SIGMIS Database the DATABASE for Advances in Information Systems
  • Detecting Stock Market Manipulation from Online Forums, 2022, SSRN Electronic Journal

In addition to articles, they have contributed to book publications, including the 2024 title Finding Communities in Social Networks Using Graph Embeddings, published by Springer Vienna.

Best Publications

  • Models and languages for parallel computation

    David B. Skillicorn;Domenico Talia

  • Questions and Answers about BSP

    David B. Skillicorn;Jonathan M. D. Hill;William F. McColl

  • Accounting Variables, Deception, and a Bag of Words: Assessing the Tools of Fraud Detection†

    Lynnette Purda;David Skillicorn

  • Architecture-independent parallel computation

    David B. Skillicorn

  • Architecture-independent parallel computation

    D.B. Skillicorn

  • Foundations of parallel programming

    David Skillicorn

  • Understanding Complex Datasets: Data Mining with Matrix Decompositions

    David B. Skillicorn

  • Structure in the Enron Email Dataset

    P. S. Keila;D. B. Skillicorn

  • Classification Using Streaming Random Forests

    H Abdulsalam;D B Skillicorn;P Martin

  • A Cost Calculus for Parallel Functional Programming

    D.B. Skillicorn;W. Cai

  • A taxonomy for computer architectures

    D.B. Skillicorn

  • Relational Autoencoder for Feature Extraction

    Qinxue Meng;Daniel Catchpoole;David Skillicorn;Paul J. Kennedy

  • Strategies for parallel data mining

    D. Skillicorn

  • The Bird-Meertens Formalism as a Parallel Model

    D. B. Skillicorn

  • Models for practical parallel computation

    David B. Skillicorn

  • Detecting Unusual and Deceptive Communication in Email

    P. S. Keila;D. B. Skillicorn

  • Proceedings of the 2004 SIAM International Conference on Data Mining

    Michael W. Berry;Umeshwar Dayal;Chandrika Kamath;David Skillicorn

  • Using the BSP cost model to optimise parallel neural network training

    R. O. Rogers;D. B. Skillicorn

  • Practical barrier synchronisation

    J.M.D. Hill;D.B. Skillicorn

  • Beyond the Castle Model of cyber-risk and cyber-security

    Christian Leuprecht;David B. Skillicorn;Victoria E. Tait

  • Streaming Random Forests

    H. Abdulsalam;D.B. Skillicorn;P. Martin

  • Lessons learned from implementing BSP

    Jonathan M.D. Hill;David B. Skillicorn

Frequent Co-Authors

James R. Cordy
James R. Cordy Queen's University
Domenico Talia
Domenico Talia University of Calabria
Vipin Kumar
Vipin Kumar University of Minnesota
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Wentong Cai
Wentong Cai Nanyang Technological University
Henri Prade
Henri Prade Paul Sabatier University
Michael W. Berry
Michael W. Berry University of Tennessee at Knoxville
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
Peter Gärdenfors
Peter Gärdenfors Lund University
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University

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