J. Tow

433 citations
20 papers · 307 · h-index 10

Impact in

Papers in

J. Tow

17 papers receiving 262 citations

Peers

J. Tow
Comparison fields: 5 of 34
  • Hardware and Architecture 33
  • Signal Processing 50
  • Biomedical Engineering 161
  • Electrical and Electronic Engineering 188
  • Computational Theory and Mathematics 46
Replace Donald D. Givone with:
Donald D. Givone United States
S. Hein United States
S. Signell Sweden
J.-E. Eklund Sweden
M.A. Shanblatt United States
Kalyan Mondal India
Saleh R. Al‐Araji United Arab Emirates
K. Uchimura Japan
U. Kleine Germany
J.M. Khoury United States
J. Tow relative to Donald D. Givone United States Donald D. Givone's profile →
Citations per field
00.5×3.4×
Donald D. Givone · 1×
Citations per year

Countries citing papers authored by J. Tow

Since Specialization
Citations

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

Fields of papers citing papers by J. Tow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside J. Tow, 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 J. Tow Line = papers co-authored together J. Tow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 196874
2 196964
3 198529
4 197323
5 196921
6 196821
7 198520
8 197514
9 197211
10 19789
11 19706
12 19814
13 19792
14 20052
15 19692
16 19782
17 19862
18 19931
19 19670
20 20030

About J. Tow

J. Tow is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 20 papers that have together received 307 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (6 papers), Embedded Systems Design Techniques (5 papers), Low-power high-performance VLSI design (4 papers), Parallel Computing and Optimization Techniques (3 papers), Numerical Methods and Algorithms (3 papers), Acoustic Wave Resonator Technologies (2 papers), VLSI and FPGA Design Techniques (2 papers) and Power Quality and Harmonics (2 papers). The work is most often cited by research in Hardware and Architecture (33 citations), Signal Processing (50 citations), Biomedical Engineering (161 citations), Electrical and Electronic Engineering (188 citations) and Computational Theory and Mathematics (46 citations). J. Tow has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include P.E. Fleischer, Kalyan Mondal, John Hartung, L. C. Tran, Chai Wah Wu, Michael Peter Kennedy and Stanley Pau. Their work appears in journals such as Proceedings of the IEEE, International Journal of Circuit Theory and Applications, IEEE Journal of Solid-State Circuits, Electronics Letters and Journal of the Franklin Institute.

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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