Ted E. Williams

828 citations
15 papers · 602 · h-index 10

Impact in

Papers in

Ted E. Williams

14 papers receiving 545 citations

Peers

Ted E. Williams
Comparison fields: 5 of 27
  • Hardware and Architecture 390
  • Computer Networks and Communications 217
  • Computational Theory and Mathematics 144
  • Electrical and Electronic Engineering 457
  • Signal Processing 39
Replace C.H. van Berkel with:
C.H. van Berkel Netherlands
K.Y. Yun United States
B. Ramkumar United States
Scott McMillan United States
F. El-Guibaly Canada
Jo Ebergen Canada
P. Six Belgium
Ivan D. Castellanos United States
K. Aingaran United States
Hadi Asghari-Moghaddam United States
Ted E. Williams relative to C.H. van Berkel Netherlands C.H. van Berkel's profile →
Citations per field
00.5×1.5×2.3×
C.H. van Berkel · 1×
Citations per year

Countries citing papers authored by Ted E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ted E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted E. Williams. 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 Ted E. Williams. The network helps show where Ted E. Williams may publish in the future.

Co-authors

The 12 scholars most cited alongside Ted E. Williams, 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 Ted E. Williams Line = papers co-authored together Ted E. Williams links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1991144
2
Self-timed rings and their application to division
1992130
3
Efficient self-timing with level-encoded 2-phase dual-rail (LEDR)
1991104
4 200855
5 199446
6 200729
7 199520
8 199517
9
Latency and throughput tradeoffs in self-timed speed-independent pipelines and rings
199017
10 200315
11
SRT division diagrams and their usage in designing intergrated circuits for division
19868
12 20027
13 20026
14 19943
15 19901

About Ted E. Williams

Ted E. Williams is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Biomedical Engineering, having authored 15 papers that have together received 602 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (8 papers), Low-power high-performance VLSI design (8 papers), Embedded Systems Design Techniques (4 papers), VLSI and Analog Circuit Testing (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advancements in PLL and VCO Technologies (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Hardware and Architecture (390 citations), Computer Networks and Communications (217 citations), Computational Theory and Mathematics (144 citations), Electrical and Electronic Engineering (457 citations) and Signal Processing (39 citations). Ted E. Williams has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Mark Horowitz, David L. Dill, Mark E. Dean, William J. Dally, Jim J. Lin, Brucek Khailany, N. Burgess, Hungwen Li, Hisao Ando and Chien Chen. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Computers and The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology.

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.

Explore authors with similar magnitude of impact