This map shows the geographic impact of Leonard Uhr'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 Leonard Uhr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Uhr more than expected).
This network shows the impact of papers produced by Leonard Uhr. 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 Leonard Uhr. The network helps show where Leonard Uhr may publish in the future.
Co-authorship network of co-authors of Leonard Uhr
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Uhr.
A scholar is included among the top collaborators of Leonard Uhr 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 Leonard Uhr. Leonard Uhr is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Honavar, Vasant & Leonard Uhr. (2007). Symbol Processing Systems, Connectionist Networks, and Generalized Connectionist Networks. 17(6). 693–7.
2.
Honavar, Vasant & Leonard Uhr. (1994). Artificial Intelligence and Neural Networks; Steps toward Principled Integration.55 indexed citations
3.
Honavar, Vasant & Leonard Uhr. (1989). Generation, local receptive fields and global convergence improve perceptual learning in connectionist networks. International Joint Conference on Artificial Intelligence. 180–185.8 indexed citations
Uhr, Leonard, M. J. Duff, & Kendall Preston. (1987). Evaluation of Multicomputers for Image Processing.28 indexed citations
8.
Li, Ze-Nian & Leonard Uhr. (1986). Evidential reasoning in parallel hierarchical vision programs. arXiv (Cornell University). 175–182.1 indexed citations
9.
Preston, Kendall & Leonard Uhr. (1982). Multicomputers and Image Processing: Algorithms and Programs; Based on a Symposium Held in Madison, WISC., May 26-29, 1981.7 indexed citations
Uhr, Leonard. (1979). Parallel-Serial Production Systems with Many Working Memories.. Minds at UW (University of Wisconsin). 911–916.2 indexed citations
12.
Uhr, Leonard. (1979). Parallel-serial production systems. International Joint Conference on Artificial Intelligence. 911–916.3 indexed citations
Uhr, Leonard. (1973). DECIDER-1: a system that chooses among different types of acts. International Joint Conference on Artificial Intelligence. 396–401.1 indexed citations
15.
Uhr, Leonard & Sara R. Jordan. (1969). The learning of parameters for generating compound characterizers for pattern recognition. International Joint Conference on Artificial Intelligence. 381–415.5 indexed citations
16.
Uhr, Leonard & Manfred Kochen. (1969). Mikrokosms and robots. 43(47). 541–555.1 indexed citations
Uhr, Leonard. (1966). Pattern recognition : theory, experiment, computer simulations, and dynamic models of form perception and discovery. Wiley eBooks.5 indexed citations
19.
Uhr, Leonard, et al.. (1962). COMPUTER SIMULATIONS OF A PERCEPTUAL LEARNING MODEL FOR SENSORY PATTERN RECOGNITION, CONCEPT FORMATION, AND SYMBOL TRANSFORMATION. IFIP Congress. 413–418.4 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.