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.
Improved Heterogeneous Distance Functions
1997796 citationsD.R. Wilson, Tony Martinezprofile →
Reduction Techniques for Instance-Based Learning Algorithms
2000750 citationsD.R. Wilson, Tony Martinezprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Tony Martinez'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 Tony Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Martinez more than expected).
This network shows the impact of papers produced by Tony Martinez. 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 Tony Martinez. The network helps show where Tony Martinez may publish in the future.
Co-authorship network of co-authors of Tony Martinez
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Martinez.
A scholar is included among the top collaborators of Tony Martinez 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 Tony Martinez. Tony Martinez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brown, Bruce L., et al.. (2013). Automatic Generation of Music for Inducing Physiological Response. Cognitive Science. 35(35).3 indexed citations
5.
Martinez, Tony, et al.. (2012). Automatic Generation of Melodic Accompaniments for Lyrics. ICCC. 87–94.13 indexed citations
6.
Martinez, Tony, et al.. (2011). Automatic Generation of Emotionally-Targeted Soundtracks.. ICCC. 60–62.8 indexed citations
7.
Martinez, Tony, et al.. (2010). Computational Modeling of Emotional Content in Music. eScholarship (California Digital Library). 32(32).1 indexed citations
8.
Martinez, Tony, et al.. (2010). Automatic Generation of Music for Inducing Emotive Response. ICCC. 140–149.18 indexed citations
Gashler, Michael S., Dan Ventura, & Tony Martinez. (2007). Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. Neural Information Processing Systems. 20. 513–520.24 indexed citations
Wilson, D.R. & Tony Martinez. (1997). Instance Pruning Techniques. International Conference on Machine Learning. 403–411.119 indexed citations
16.
Martinez, Tony, et al.. (1995). A transformation for implementing localist neural networks. Neural, Parallel & Scientific Computations archive. 3(2). 173–187.2 indexed citations
17.
Giraud-Carrier, Christophe & Tony Martinez. (1994). Seven Desirable Properties for Artificial Learning Systems. Bristol Research (University of Bristol).1 indexed citations
18.
Martinez, Tony, et al.. (1993). A Generalizing Adaptive Discriminant Network. International Journal of Clinical and Experimental Pathology. 12(9). 613–616.
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.