Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Donald Sofge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donald Sofge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald Sofge more than expected).
This network shows the impact of papers produced by Donald Sofge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donald Sofge. The network helps show where Donald Sofge may publish in the future.
Co-authorship network of co-authors of Donald Sofge
This figure shows the co-authorship network connecting the top 25 collaborators of Donald Sofge.
A scholar is included among the top collaborators of Donald Sofge based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Donald Sofge. Donald Sofge is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lawless, William F. & Donald Sofge. (2016). AI and the Mitigation of Error: A Thermodynamics of Teams. National Conference on Artificial Intelligence.1 indexed citations
10.
Mittu, Ranjeev, Gavin Taylor, Donald Sofge, & William F. Lawless. (2016). Introduction to the Symposium on AI and the Mitigation of Human Error. National Conference on Artificial Intelligence.1 indexed citations
Lawless, William F., Ira S. Moskowitz, Ranjeev Mittu, & Donald Sofge. (2015). A Thermodynamics of Teams: Towards a Robust Computational Model of Autonomous Teams.. National Conference on Artificial Intelligence.2 indexed citations
13.
Lawless, William F. & Donald Sofge. (2013). Trust and Interdependence in Controlling Multi-Agent Multi-Tasking Autonomous Teams. National Conference on Artificial Intelligence.1 indexed citations
14.
Bruza, Peter, William F. Lawless, C. J. van Rijsbergen, Donald Sofge, & Dominic Widdows. (2010). Quantum informatics for cognitive, social, and semantic processes : papers from the AAAI Fall Symposium.2 indexed citations
15.
Bruza, Peter, Donald Sofge, William F. Lawless, Keith van Rijsbergen, & Matthias Klusch. (2009). Proceedings of the 3rd International Symposium on Quantum Interaction.1 indexed citations
16.
Bruza, Peter, William F. Lawless, Keith van Rijsbergen, Donald Sofge, & Bob Coecke. (2008). Quantum Interaction: Proceedings of the Second Quantum Interaction Symposium - Qi-2008.6 indexed citations
17.
Bruza, Peter, William F. Lawless, Keith van Rijsbergen, & Donald Sofge. (2007). Quantum interaction : Papers from the AAAI Spring Symposium : Technical Report SS-07-08.5 indexed citations
Sofge, Donald, et al.. (2003). An Agent Driven Human-centric Interface for Autonomous Mobile Robots. Defense Technical Information Center (DTIC).3 indexed citations
20.
Sofge, Donald. (2002). Using Genetic Algorithm Based Variable Selection to Improve Neural Network Models for Real-World Systems.. 16–19.20 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.