Michael Brown

440 citations
20 papers · 324 · h-index 7

Impact in

Papers in

Michael Brown

19 papers receiving 291 citations

Peers

Michael Brown
Comparison fields: 5 of 58
  • Hardware and Architecture 94
  • Signal Processing 110
  • Artificial Intelligence 136
  • Computer Networks and Communications 89
  • Nuclear and High Energy Physics 19
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D. Hwang United States
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Citations per year

Countries citing papers authored by Michael Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Brown, 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 Michael Brown Line = papers co-authored together Michael Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1982126
2 201595
3 199422
4 201116
5 199213
6 20229
7 19947
8 20147
9
Is Less Really More? Towards Better Metrics for Measuring Security Improvements Realized Through Software Debloating.
20196
10 20046
11 19944
12
DATA ACQUISITION AND DISPLAY SYSTEM (DACADS) FOR THE 200-MeV LINAC AT THE AGS.
19702
13 20062
14 19862
15 20032
16 19902
17 20041
18 20141
19 19991
20 20020

About Michael Brown

Michael Brown is a scholar working on Computer Networks and Communications, Hardware and Architecture, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 20 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (4 papers), Distributed and Parallel Computing Systems (3 papers), Parallel Computing and Optimization Techniques (3 papers), Embedded Systems Design Techniques (2 papers), Particle accelerators and beam dynamics (2 papers), VLSI and FPGA Design Techniques (2 papers), Low-power high-performance VLSI design (2 papers) and Energy Efficiency and Management (2 papers). The work is most often cited by research in Hardware and Architecture (94 citations), Signal Processing (110 citations), Artificial Intelligence (136 citations), Computer Networks and Communications (89 citations) and Nuclear and High Energy Physics (19 citations). Michael Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard Chamberlain, John S. Bridle, Jens Leenstra, José Eduardo Moreira, Dung Q. Nguyen, Balaram Sinharoy, H. Q. Le, Richard J. Eickemeyer, Michael K. Gschwind and Tejas S. Karkhanis. Their work appears in journals such as Review of Scientific Instruments, IBM Journal of Research and Development, British Journal of Management, Review of European Community & International Environmental Law and interactions.

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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