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.
A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise
19821.5k citationsVictor S. Frost, K. Sam Shanmugan et al.profile →
Simulation of Communication Systems
1992637 citationsMichel C. Jeruchim, Philip Balaban et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by K. Sam Shanmugan
Since
Specialization
Citations
This map shows the geographic impact of K. Sam Shanmugan'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 K. Sam Shanmugan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Sam Shanmugan more than expected).
Fields of papers citing papers by K. Sam Shanmugan
This network shows the impact of papers produced by K. Sam Shanmugan. 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 K. Sam Shanmugan. The network helps show where K. Sam Shanmugan may publish in the future.
Co-authorship network of co-authors of K. Sam Shanmugan
This figure shows the co-authorship network connecting the top 25 collaborators of K. Sam Shanmugan.
A scholar is included among the top collaborators of K. Sam Shanmugan 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 K. Sam Shanmugan. K. Sam Shanmugan 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.
Tranter, William H., K. Sam Shanmugan, Theodore S. Rappaport, & Kurt Kosbar. (2004). Principles of communication systems simulation.7 indexed citations
Frost, Victor S., et al.. (1987). Some new efficient techniques for the simulation of computer communications networks. 152–158.1 indexed citations
11.
Frost, Victor S. & K. Sam Shanmugan. (1986). Hybrid Approaches to Network Simulation.. International Conference on Communications. 228–234.5 indexed citations
12.
Shanmugan, K. Sam, et al.. (1986). An adaptive linearizer for 16-QAM transmission over non-linear satellite channels. Global Communications Conference. 1. 126–132.5 indexed citations
Shanmugan, K. Sam, et al.. (1984). Simulation of M-ary transmission schemes operating over nonlinear satellite channels. International Conference on Communications. 1. 340–344.4 indexed citations
15.
Shanmugan, K. Sam, et al.. (1983). Simulation of spread-spectrum systems using ICSSM. Global Communications Conference. 3. 1612.2 indexed citations
Frost, Victor S., K. Sam Shanmugan, & J. C. Holtzman. (1982). An information theory characterization of radar images and a new definition for radiometric resolution.1 indexed citations
19.
Frost, Victor S., et al.. (1982). A statistical model for radar images of agricultural scenes.1 indexed citations
20.
Frost, Victor S., K. Sam Shanmugan, & J. C. Holtzman. (1982). Edge detection for synthetic aperture radar and other noisy images. 2.10 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.