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:
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.
David B. Skillicorn;Domenico Talia
David B. Skillicorn;Jonathan M. D. Hill;William F. McColl
Lynnette Purda;David Skillicorn
David B. Skillicorn
D.B. Skillicorn
David Skillicorn
David B. Skillicorn
P. S. Keila;D. B. Skillicorn
H Abdulsalam;D B Skillicorn;P Martin
D.B. Skillicorn;W. Cai
D.B. Skillicorn
Qinxue Meng;Daniel Catchpoole;David Skillicorn;Paul J. Kennedy
D. Skillicorn
D. B. Skillicorn
David B. Skillicorn
P. S. Keila;D. B. Skillicorn
Michael W. Berry;Umeshwar Dayal;Chandrika Kamath;David Skillicorn
R. O. Rogers;D. B. Skillicorn
J.M.D. Hill;D.B. Skillicorn
Christian Leuprecht;David B. Skillicorn;Victoria E. Tait
H. Abdulsalam;D.B. Skillicorn;P. Martin
Jonathan M.D. Hill;David B. Skillicorn
If you think any of the details on this page are incorrect, let us know.
Pursuing a Computer Science degree in the USA opens doors to a variety of related online programs and career opportunities. Many students also consider disciplines like mechanical engineering, physics, data science, and electrical engineering, as they share overlapping skills and career pathways.
For those interested in engineering, options such as the cheapest mechanical engineering degree online can provide a cost-effective entry into a STEM career. Similarly, those passionate about fundamental concepts can explore the cheapest online physics degree to build a strong scientific foundation.
As technology evolves, data-driven roles are in high demand. If you are interested in analytics and big data, pursuing a data scientist degree may be a smart next step. For those drawn to innovation in circuits, power systems, and electronics, reviewing the online electrical engineering degree ranking can help you select top accredited programs.
Each path supports different career opportunities in today’s tech-driven job market, and online degrees offer the flexibility to study from anywhere.
Universitat Politècnica de València
Swansea University
Florida State University
University of Miami
Weizmann Institute of Science
University of Pittsburgh
University of California, Irvine
University of Washington
University of Tokyo
University of Manitoba
University of Tokyo
Google (United States)
University of Chicago
University of Notre Dame
University of Denver
National University of Singapore