Jay Peck

19 papers receiving 294 citations

Peers

Jay Peck
Comparison fields: 5 of 47
  • Fluid Flow and Transfer Processes 41
  • Applied Mathematics 63
  • Health, Toxicology and Mutagenesis 60
  • Automotive Engineering 43
  • Computational Mechanics 65
Replace D. Cecere with:
D. Cecere Italy
C.P. Thurgood Canada
Yuanyuan Dong China
M D. Rumminger United States
A. G. Tereshchenko Russia
Anshuman A. Lall United States
Sudarshan Kumar United States
Chung-Hsuan Huang United States
K. Janka Finland
Juha Harra Finland
Jay Peck relative to D. Cecere Italy D. Cecere's profile →
Citations per field
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D. Cecere · 1×
Citations per year

Countries citing papers authored by Jay Peck

Since Specialization
Citations

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

Fields of papers citing papers by Jay Peck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201648
3 201639
4 200539
5 201316
6 201414
7 201410
8 20059
9 20149
10 20159
11 20177
12 20136
13 20126
14 20115
15 20113
16
Novel Catalysts and Processing Technologies for Production of Aerospace Fuels from Non-Petroleum Raw Materials
20142
17 20101
18 20141
19
Demonstration of Novel Sampling Techniques for Measurement of Turbine Engine Volatile and Non-Volatile Particulate Matter (PM) Emissions
20151
20 20140

About Jay Peck

Jay Peck is a scholar working on Automotive Engineering, Global and Planetary Change, Materials Chemistry, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 21 papers that have together received 297 indexed citations. Recurring topics across this work include Vehicle emissions and performance (10 papers), Advanced Aircraft Design and Technologies (7 papers), Air Quality and Health Impacts (6 papers), Rocket and propulsion systems research (5 papers), Atmospheric chemistry and aerosols (5 papers), Thermal and Kinetic Analysis (4 papers), Advanced Sensor Technologies Research (3 papers) and Combustion and flame dynamics (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (41 citations), Applied Mathematics (63 citations), Health, Toxicology and Mutagenesis (60 citations), Automotive Engineering (43 citations) and Computational Mechanics (65 citations). Jay Peck has collaborated with scholars based in United States. Frequent co-authors include Ian A. Waitz, Jean Lachaud, Hsi‐Wu Wong, Nagi N. Mansour, Francesco Panerai, Christopher M. Spadaccini, Richard C. Miake‐Lye, Robin Bonomi, Michaël T. Timko and Lino Gonzalez. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, Aerosol Science and Technology, Environmental Science & Technology, Journal of the Air & Waste Management Association and Polymer Degradation and Stability.

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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