John Brewer

13 papers receiving 2.1k citations

John Brewer's Hit Papers

Kronecker products and matrix calculus in system theory 1978 · 1.5k citations
1.5k0+16+32Years since publication50010001.5k

Peers

John Brewer
Comparison fields: 5 of 160
  • Computational Mathematics 31
  • Control and Systems Engineering 762
  • Statistics, Probability and Uncertainty 128
  • Signal Processing 204
  • Numerical Analysis 98
Replace Alan J. Mayne with:
Alan J. Mayne Australia
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Miguel Sousa Lobo United States
Peter H. Schönemann United States
Herman Rubin United States
Ambuj Tewari United States
Michael Brusco United States
Lester E. Dubins United States
Tshilidzi Marwala South Africa
MADAN LAL PURI United States
John Brewer relative to Alan J. Mayne Australia Alan J. Mayne's profile →
Citations per field
00.5×1.5×
Alan J. Mayne · 1×
Citations per year

Countries citing papers authored by John Brewer

Since Specialization
Citations

This map shows the geographic impact of John Brewer'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 John Brewer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Brewer more than expected).

Fields of papers citing papers by John Brewer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Brewer. 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 John Brewer. The network helps show where John Brewer may publish in the future.

Co-authors

The 8 scholars most cited alongside John Brewer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Brewer Line = papers co-authored together John Brewer links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Kronecker products and matrix calculus in system theory
Hit paper breakdown →
19781513
2 1999382
3 2006199
4 1991154
5 197718
6 197817
7 197716
8 19767
9 19777
10
Micro-sociology and the 'duality of structure'
19885
11 20063
12
LAND USE, ENERGY FLOW, AND DECISION MAKING IN HUMAN SOCIETY
19741
13 19791
14 20081

About John Brewer

John Brewer is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (6 papers), Astronomical Observations and Instrumentation (1 paper), Model Reduction and Neural Networks (1 paper), Teacher Education and Leadership Studies (1 paper), Qualitative Research Methods and Applications (1 paper), Time Series Analysis and Forecasting (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Evaluation and Performance Assessment (1 paper). The work is most often cited by research in Computational Mathematics (31 citations), Control and Systems Engineering (762 citations), Statistics, Probability and Uncertainty (128 citations), Signal Processing (204 citations) and Numerical Analysis (98 citations). John Brewer has collaborated with scholars based in United States and Australia. Frequent co-authors include Isadore Newman, Carolyn R. Benz, Catherine Marshall, Gretchen Rossman, Tim J. Peterson, H. A. Dwyer, D. Starr and J. S. Bloom. Their work appears in journals such as IEEE Transactions on Automatic Control, Lecture notes in physics, Contemporary Sociology A Journal of Reviews, Modern Language Journal and IEEE Transactions on Circuits and Systems.

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.

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