Scott Lee

83 papers receiving 2.3k citations

Scott Lee's Hit Papers

Pond: CXL-Based Memory Pooling Systems for Cloud Platforms 2023 · 206 citations
2060+3+6Years since publication50100150200250

Peers

Scott Lee
Comparison fields: 5 of 156
  • Health Informatics 50
  • Hardware and Architecture 154
  • Oral Surgery 71
  • Artificial Intelligence 342
  • Transportation 58
Replace Robert Miller with:
Robert Miller United States
Rok Blagus Slovenia
Brett K. Beaulieu‐Jones United States
Yihong Zhao United States
Toralf Kirsten Germany
Scott Hazelhurst South Africa
Jianguo Liu China
Stephen Woloszynek United States
Laura K. Wiley United States
Scott Lee relative to Robert Miller United States Robert Miller's profile →
Citations per field
00.5×2×4×6.5×
Robert Miller · 1×
Citations per year

Countries citing papers authored by Scott Lee

Since Specialization
Citations

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

Fields of papers citing papers by Scott Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field
Hit paper breakdown →
2017292
2
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
Hit paper breakdown →
2023206
3 2019147
4 2019104
5 2001102
6 199692
7
Bone density assessments of dental implant sites: 3. Bone quality evaluation during osteotomy and implant placement.
200782
8 200867
9 201865
10 202165
11 201863
12 201255
13 201753
14 202150
15 201949
16 200847
17 201645
18 200542
19 202142
20 202341

About Scott Lee

Scott Lee is a scholar working on Artificial Intelligence, Physiology, Transportation, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 89 papers that have together received 2.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (11 papers), Thermoregulation and physiological responses (6 papers), Cardiovascular and exercise physiology (4 papers), Early Childhood Education and Development (4 papers), Cruise Tourism Development and Management (4 papers), Tuberculosis Research and Epidemiology (3 papers), Opioid Use Disorder Treatment (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Health Informatics (50 citations), Hardware and Architecture (154 citations), Oral Surgery (71 citations), Artificial Intelligence (342 citations) and Transportation (58 citations). Scott Lee has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Todd C. Mockler, Nadia Shakoor, Julian Togelius, Fernando de Mesentier Silva, JERROLD SCOTT PETROFSKY, Charles M. Heilig, Andy Nealen, Bernard G. Gantes, Matt L. Riggs and Max Crigger. Their work appears in journals such as Diabetes Technology & Therapeutics, Early Child Development and Care, MMWR Morbidity and Mortality Weekly Report, Inflammatory Bowel Diseases and npj Digital Medicine.

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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