T.N. Mudge

573 citations
26 papers · 412 · h-index 10

Impact in

    • Parallel Computing and Optimization Techniques
    • Real-Time Systems Scheduling
    • Embedded Systems Design Techniques
    • VLSI and Analog Circuit Testing
    • Low-power high-performance VLSI design
    • VLSI and FPGA Design Techniques
    • Radiation Effects in Electronics

Papers in

T.N. Mudge

23 papers receiving 402 citations

Peers

T.N. Mudge
Comparison fields: 5 of 18
  • Hardware and Architecture 248
  • Electrical and Electronic Engineering 184
  • Computer Networks and Communications 26
  • Computer Science Applications 2
  • Artificial Intelligence 11
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Citations per field
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Citations per year

Countries citing papers authored by T.N. Mudge

Since Specialization
Citations

This map shows the geographic impact of T.N. Mudge'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 T.N. Mudge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.N. Mudge more than expected).

Fields of papers citing papers by T.N. Mudge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.N. Mudge. 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 T.N. Mudge. The network helps show where T.N. Mudge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003116
2 200355
3 200335
4 199326
5 200725
6 200624
7 200222
8 200221
9 200318
10 200513
11 20049
12 19826
13 20026
14 20055
15 20065
16 20115
17 19824
18
WIRE ROUTING EXPERIMENTS ON A RASTER PIPELINE SUBARRAY MACHINE.
19834
19 20034
20 20054

About T.N. Mudge

T.N. Mudge is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Software and Computational Theory and Mathematics, having authored 26 papers that have together received 412 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Low-power high-performance VLSI design (10 papers), VLSI and FPGA Design Techniques (5 papers), Interconnection Networks and Systems (3 papers), Formal Methods in Verification (1 paper), Software Testing and Debugging Techniques (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (248 citations), Electrical and Electronic Engineering (184 citations), Computer Networks and Communications (26 citations), Computer Science Applications (2 citations) and Artificial Intelligence (11 citations). T.N. Mudge has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David T. Blaauw, Krisztián Flautner, Steven M. Martin, Nam Sung Kim, Vinodh Cuppu, Bruce Jacob, Brian T. Davis, Edward S. Davidson, Karem A. Sakallah and Dennis Sylvester. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Computers, Proceedings - International Symposium on Computer Architecture/Proceedings, International Conference on Computer Aided Design and Proceedings - ACM IEEE Design Automation Conference.

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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