Countries citing papers authored by Frank Klassner
Since
Specialization
Citations
This map shows the geographic impact of Frank Klassner'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 Frank Klassner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Klassner more than expected).
This network shows the impact of papers produced by Frank Klassner. 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 Frank Klassner. The network helps show where Frank Klassner may publish in the future.
Co-authorship network of co-authors of Frank Klassner
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Klassner.
A scholar is included among the top collaborators of Frank Klassner 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 Frank Klassner. Frank Klassner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Klassner, Frank, et al.. (2012). Genetic Algorithms with Lego Mindstorms and Matlab.. The Florida AI Research Society.4 indexed citations
4.
Klassner, Frank, et al.. (2010). Beyond First Impressions and Fine Farewells: Electronic Tangibles Throughout the Curriculum - Panel Discussion.. National Conference on Artificial Intelligence.
5.
McNally, Myles & Frank Klassner. (2007). Demonstrating the Capabilities of MindStorms NXT for the AI Curriculum. National Conference on Artificial Intelligence. 103–104.9 indexed citations
6.
McNally, Myles, et al.. (2007). Exploiting MindStorms NXT: Mapping and Localization Projects for the AI Course.. The Florida AI Research Society. 315–320.2 indexed citations
Klassner, Frank. (2006). Launching into AI's October Sky with robotics and lisp. National Conference on Artificial Intelligence. 27(1). 51–65.3 indexed citations
9.
Klassner, Frank. (2002). Using Lego mindstorms across the computer science curriculum. Journal of computing sciences in colleges. 18(1). 116–116.1 indexed citations
Lesser, Victor, Bryan Horling, Frank Klassner, & Anita Raja. (1999). BIG: A Resource-Bounded Information Gathering and Decision Support Agent.1 indexed citations
12.
Klassner, Frank, et al.. (1998). The role of data reprocessing in complex acoustic environments. National Conference on Artificial Intelligence. 997–1003.1 indexed citations
13.
Lesser, Victor, Bryan Horling, Frank Klassner, & Anita Raja. (1998). BIG: a resource-bounded information gathering agent. National Conference on Artificial Intelligence. 539–546.28 indexed citations
14.
Klassner, Frank, Victor Lesser, & S. Hamid Nawab. (1998). The IPUS blackboard architecture as a framework for computational auditory scene analysis. 105–114.10 indexed citations
15.
Klassner, Frank, et al.. (1997). Combining approximate front end signal processing with selective reprocessing in auditory perception. National Conference on Artificial Intelligence. 661–666.2 indexed citations
Klassner, Frank & Victor Lesser. (1996). Data reprocessing in signal understanding systems. Scholarworks (University of Massachusetts Amherst).16 indexed citations
Lesser, Victor, et al.. (1993). IPUS: an architecture for integrated signal processing and signal interpretation in complex environments. National Conference on Artificial Intelligence. 249–255.17 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.