This map shows the geographic impact of Daniel Silver'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 Daniel Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Silver more than expected).
This network shows the impact of papers produced by Daniel Silver. 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 Daniel Silver. The network helps show where Daniel Silver may publish in the future.
Co-authorship network of co-authors of Daniel Silver
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Silver.
A scholar is included among the top collaborators of Daniel Silver 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 Daniel Silver. Daniel Silver is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Silver, Daniel. (2018). Alienation in a four factor world. Journal for the Theory of Social Behaviour. 49(1). 84–105.15 indexed citations
9.
Souza, Érico N. de, et al.. (2017). Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.. The European Symposium on Artificial Neural Networks.1 indexed citations
10.
Silver, Daniel, Qiang Yang, & Lianghao Li. (2013). Lifelong Machine Learning Systems: Beyond Learning Algorithms. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 49.126 indexed citations
11.
Silver, Daniel. (2013). The Consolidation of Task Knowledge for Lifelong Machine Learning. National Conference on Artificial Intelligence.2 indexed citations
12.
Grodach, Carl & Daniel Silver. (2013). Introduction: Urbanizing cultural policy. QUT ePrints (Queensland University of Technology). 1–12.
13.
Grodach, Carl & Daniel Silver. (2012). The Politics of Urban Cultural Policy: Global Perspectives. QUT ePrints (Queensland University of Technology).34 indexed citations
14.
Silver, Daniel, et al.. (2010). CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer. The Florida AI Research Society.2 indexed citations
Silver, Daniel, et al.. (2006). Machine Life-Long Learning with csMTL Networks.. National Conference on Artificial Intelligence.1 indexed citations
17.
Silver, Daniel & Adam T. Biggs. (2006). Keystroke and Eye-Tracking Biometrics for User Identification.. International Conference on Artificial Intelligence. 344–348.26 indexed citations
18.
Blustein, James, et al.. (2005). Information Visualization for Intrusion Detection..
19.
Silver, Daniel, et al.. (2005). A Measure of Relatedness for Selecting Consolidated Task Knowledge.. The Florida AI Research Society. 399–404.1 indexed citations
20.
Silver, Daniel & Peter McCracken. (2003). The Consolidation of Neural Network Task Knowledge.. 185–192.1 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.