Jack Davis

663 citations
10 papers · 461 · h-index 6

Impact in

    • VLSI and Analog Circuit Testing
    • Low-power high-performance VLSI design
    • Advancements in Semiconductor Devices and Circuit Design
    • VLSI and FPGA Design Techniques
    • Semiconductor materials and devices
    • Advancements in PLL and VCO Technologies

Papers in

Jack Davis

8 papers receiving 426 citations

Peers

Jack Davis
Comparison fields: 5 of 47
  • Hardware and Architecture 119
  • Electrical and Electronic Engineering 350
  • Computational Theory and Mathematics 49
  • Orthopedics and Sports Medicine 25
  • Gender Studies 27
Replace Andrew Wolfe with:
Andrew Wolfe United States
Daniel Webber United States
Robin Wilson France
James E. Robertson United States
Dye-Jyun Ma United States
Carlos Molina Spain
Kaushik Gala United States
John Oliver United States
Jérémy Lardon France
Vinh Quang Nguyen South Korea
Jack Davis relative to Andrew Wolfe United States Andrew Wolfe's profile →
Citations per field
00.5×2.8×
Andrew Wolfe · 1×
Citations per year

Countries citing papers authored by Jack Davis

Since Specialization
Citations

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

Fields of papers citing papers by Jack Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jack Davis, 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 Jack Davis Line = papers co-authored together Jack Davis links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1984360
2 201525
3 201624
4 201620
5 201519
6 201710
7 20171
8 20231
9 20161
10 20020

About Jack Davis

Jack Davis is a scholar working on Economics and Econometrics, Sociology and Political Science, Hardware and Architecture, Management Science and Operations Research and Orthopedics and Sports Medicine, having authored 10 papers that have together received 461 indexed citations. Recurring topics across this work include Sports Analytics and Performance (5 papers), Sport and Mega-Event Impacts (2 papers), Sports, Gender, and Society (2 papers), Sports Performance and Training (2 papers), VLSI and Analog Circuit Testing (2 papers), Time Series Analysis and Forecasting (1 paper), Low-power high-performance VLSI design (1 paper) and Sports Dynamics and Biomechanics (1 paper). The work is most often cited by research in Hardware and Architecture (119 citations), Electrical and Electronic Engineering (350 citations), Computational Theory and Mathematics (49 citations), Orthopedics and Sports Medicine (25 citations) and Gender Studies (27 citations). Jack Davis has collaborated with scholars based in Canada, South Africa and Sri Lanka. Frequent co-authors include W. Paul Griffin, L.G. Heller, Tim B. Swartz, Hasina Samji, Kalysha Closson, Busisiwe Nkala, Janan Dietrich, Robert S. Hogg, Angela Kaida and Glenda Gray. Their work appears in journals such as Journal of Statistical Computation and Simulation, Journal of the Operational Research Society, Vulnerable Children and Youth Studies, Australian & New Zealand Journal of Statistics and SHILAP Revista de lepidopterología.

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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