John R. Hauser

1.3k citations
7 papers · 806 indexed · 1 hit paper · h-index 6
Topics
Parallel Computing and Optimization Techniques (4 papers)Embedded Systems Design Techniques (4 papers)Interconnection Networks and Systems (3 papers)
Partner nations
United States

In The Last Decade

John R. Hauser

7 papers receiving 718 citations

Hit Papers

Garp: a MIPS processor with a reconfigurable coprocessor20022026201020182002100200300400

Peers

John R. Hauser
Comparison fields: 5 of 45
  • Hardware and Architecture 725
  • Computer Networks and Communications 557
  • Electrical and Electronic Engineering 172
  • Computational Theory and Mathematics 61
  • Artificial Intelligence 46
Replace Deshanand P. Singh with:
Deshanand P. Singh Canada
Arnout Vandecappelle Belgium
M. Suzuoki Japan
Per Gunnar Kjeldsberg Norway
Florin Balasa United States
D. Wendel United States
K. Diefendorff United States
Marco Zagha United States
Koen Danckaert Belgium
George W. Cox United States
John R. Hauser relative to Deshanand P. Singh Canada Deshanand P. Singh's profile →
Citations per field
00.5×1.5×2.0×
Deshanand P. Singh · 1×
Citations per year

Countries citing papers authored by John R. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by John R. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Hauser. A scholar is included among the top collaborators of John R. Hauser 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 John R. Hauser. John R. Hauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 13
2
Garp: a MIPS processor with a reconfigurable coprocessorbreakdown →
455
3
Augmenting a microprocessor with reconfigurable hardware
19
4 254
5 3
6 55
7 7

About John R. Hauser

John R. Hauser is a scholar working on Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 7 papers that have together received 806 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Embedded Systems Design Techniques (4 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (725 citations), Computer Networks and Communications (557 citations) and Computational Theory and Mathematics (61 citations). John R. Hauser has collaborated with scholars based in United States. Frequent co-authors include John Wawrzynek, Timothy J. Callahan, Nicholas Weaver, C. Kittel, Adrian Freed, Todd D. Hodes and David Wessel. Their work appears in journals such as Physics Letters A, Computer and ACM Transactions on Programming Languages 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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