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.
Comparison of linear, nonlinear, and feature selection methods for EEG signal classification
2003540 citationsDeon Garrett, David A. Peterson et al.IEEE Transactions on Neural Systems and Rehabilitation Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by David A. Peterson
Since
Specialization
Citations
This map shows the geographic impact of David A. Peterson'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 David A. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Peterson more than expected).
Fields of papers citing papers by David A. Peterson
This network shows the impact of papers produced by David A. Peterson. 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 David A. Peterson. The network helps show where David A. Peterson may publish in the future.
Co-authorship network of co-authors of David A. Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Peterson.
A scholar is included among the top collaborators of David A. Peterson 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 David A. Peterson. David A. Peterson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Peterson, David A., Joanne M. Miller, Kyle L. Saunders, & Scott D. McClurg. (2020). Macrointerest. British Journal of Political Science. 52(1). 200–220.2 indexed citations
Grossback, Lawrence J., David A. Peterson, & James A. Stimson. (2007). Electoral Mandates in American Politics. British Journal of Political Science. 37(4). 711–730.6 indexed citations
Peterson, David A., et al.. (2004). Disease detection technique using the principal orthogonal decomposition on DNA microarray data. 157–160.
12.
Garrett, Deon, David A. Peterson, Charles W. Anderson, & Michael H. Thaut. (2003). Comparison of linear, nonlinear, and feature selection methods for EEG signal classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11(2). 141–144.540 indexed citations breakdown →
Anderson, Charles W., Bruce A. Draper, & David A. Peterson. (2000). Behavioral Cloning of Student Pilots with Modular Neural Networks. International Conference on Machine Learning. 25–32.9 indexed citations
15.
Nichols, Johanna & David A. Peterson. (1996). The Amerind Personal Pronouns. Language. 72(2). 336–371.34 indexed citations
Peterson, David A.. (1981). Education for the Aging: The Profession's Participation in the White House Conference on Aging.. 5(3). 16–18.1 indexed citations
18.
Peterson, David A., et al.. (1980). Golden Age 4-H Clubs: An Experience in Adult Education.. 4(3). 18–21.2 indexed citations
Peterson, David A.. (1973). Older Persons, Nutrition, and Adult Education: A New Opportunity..
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.