Sam Taylor

3.1k citations
13 papers · 484 · 1 hit paper · h-index 8

Impact in

Papers in

Sam Taylor

11 papers receiving 476 citations

Sam Taylor's Hit Papers

Prevalence and correlates of stress and burnout among U.S. healthcare workers during the COVID-19 pandemic: A national cross-sectional survey study 2021 · 345 citations
3450+1+3Years since publication100200300

Peers

Sam Taylor
Comparison fields: 5 of 82
  • Research and Theory 7
  • General Health Professions 178
  • Clinical Psychology 122
  • Hardware and Architecture 29
  • Leadership and Management 5
Replace Mulyadi Mulyadi with:
Mulyadi Mulyadi Indonesia
Hong Sui China
Xiaohua Wu China
Karen Murray United Kingdom
Rana Obeidat Jordan
Keping Yang China
Seham Mansour Alyousef Saudi Arabia
Annabel Taylor Australia
Elizabeth Carlson United States
Lei Yin China
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Sam Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Sam Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Prevalence and correlates of stress and burnout among U.S. healthcare workers during the COVID-19 pandemic: A national cross-sectional survey study
Hit paper breakdown →
2021345
2 202141
3 201733
4 201215
5 200615
6 200812
7 201410
8 20097
9 20074
10 20211
11 20251
12 20250
13 20250

About Sam Taylor

Sam Taylor is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering, Computer Networks and Communications and Molecular Biology, having authored 13 papers that have together received 484 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (4 papers), VLSI and FPGA Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), VLSI and Analog Circuit Testing (1 paper), Embedded Systems Design Techniques (1 paper) and Mental Health and Patient Involvement (1 paper). The work is most often cited by research in Research and Theory (7 citations), General Health Professions (178 citations), Clinical Psychology (122 citations), Hardware and Architecture (29 citations) and Leadership and Management (5 citations). Sam Taylor has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Nancy Nankivil, Elizabeth Goelz, Christine A. Sinsky, Martin Stillman, Sara Poplau, Mark Linzer, Kriti Prasad, Roger Brown, Luis A. Plana and D. Edwards. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, EClinicalMedicine, PLoS ONE, Beilstein Journal of Nanotechnology and Molecular Cancer Research.

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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