Peter M. Lee

2.0k citations
28 papers · 1.3k indexed · 1 hit paper · h-index 11

Peter M. Lee

26 papers receiving 1.2k citations

Hit Papers

Bayesian Statistics: An Introduction7451998202620072016200400600

Peers

Peter M. Lee
Comparison fields: 5 of 167
  • Statistics and Probability 273
  • Statistics, Probability and Uncertainty 167
  • General Decision Sciences 18
  • Management Science and Operations Research 109
  • Artificial Intelligence 219
Replace Larry Rabinowitz with:
Larry Rabinowitz United States
Scott D. Grimshaw United States
S. L. Singapore
Dennis D. Wackerly United States
John Salvatier United Kingdom
Andrew A. Neath United States
Colin Aitken United Kingdom
Thomas Taimre Australia
Franco Taroni Switzerland
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Citations per field
00.5×2.6×
Larry Rabinowitz · 1×
Citations per year

Countries citing papers authored by Peter M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20256
3 20251
4 202410
5 202313
6 20226
7 20222
8 20221
9 201629
10 20160
11 201658
12 201015
13
Influence of gasoline engine lubricant on tribological performance, fuel economy and emissions
20072
14
Application of Circuit-Level Hot-Carrier Reliability Simulation to Memory Design
19982
15
New Insights in Optimizing CMOS Inverter Circuits with Respect to Hot-Carrier Degradation
19941
16 199387
17 1992102
18 199074
19
BERT- Circuit Oxide Reliability Simulator (CORS)
19902
20
BERT - CIRCUIT AGING SIMULATOR (CAS)
19902

About Peter M. Lee

Peter M. Lee is a scholar working on Fluid Flow and Transfer Processes, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Automotive Engineering, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lubricants and Their Additives (10 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Semiconductor materials and devices (6 papers), Tribology and Wear Analysis (5 papers), Tribology and Lubrication Engineering (4 papers), Advanced Combustion Engine Technologies (4 papers), Silicon Carbide Semiconductor Technologies (3 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Statistics and Probability (273 citations), Statistics, Probability and Uncertainty (167 citations), General Decision Sciences (18 citations), Management Science and Operations Research (109 citations) and Artificial Intelligence (219 citations). Peter M. Lee has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Eric R. Ziegel, L. Mark Berliner, Lawrence Joseph, Nicholas G. Polson, James J. Higgins, Ronghua Wei, Jianliang Lin, R. J. Chittenden, Michael J. Solomon and Carlos Sánchez. Their work appears in journals such as Tribology Letters, Wear, IEICE Transactions on Electronics, Technometrics and Diseases of the Colon & Rectum.

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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