Jay Peck

21 papers receiving 310 citations

Peers

Jay Peck
Comparison fields: 5 of 56
  • Fluid Flow and Transfer Processes 41
  • Applied Mathematics 64
  • Health, Toxicology and Mutagenesis 61
  • Automotive Engineering 44
  • Computational Mechanics 65
Replace Howard G. Maahs with:
Howard G. Maahs United States
D. Cecere Italy
Yuanyuan Dong China
S R. Kukuck United States
Juha Harra Finland
Joseph P. Abrahamson United States
Anshuman A. Lall United States
A. G. Tereshchenko Russia
Sudarshan Kumar United States
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Citations per field
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201651
3 200539
4 201639
5 201316
6 201414
7
The Rush Site (41TG346): A Stratified Late Prehistoric Locale in Tom Green County, Texas
199514
8 201411
9 20059
10 20159
11 20149
12 20177
13 20126
14 20136
15 20115
16 20113
17
Novel Catalysts and Processing Technologies for Production of Aerospace Fuels from Non-Petroleum Raw Materials
20142
18
Early Archaic Use of the Concho River Terraces; Cultural Resource Investigations at 41TG307 and 41TG309 Tom Green County, San Angelo, Texas
19962
19 20141
20 20101

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 23 papers that have together received 321 indexed citations. Recurring topics across this work include Vehicle emissions and performance (9 papers), Advanced Aircraft Design and Technologies (7 papers), Atmospheric chemistry and aerosols (5 papers), Air Quality and Health Impacts (5 papers), Rocket and propulsion systems research (5 papers), Thermal and Kinetic Analysis (4 papers), Combustion and flame dynamics (3 papers) and Advanced Sensor Technologies Research (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (41 citations), Applied Mathematics (64 citations), Health, Toxicology and Mutagenesis (61 citations), Automotive Engineering (44 citations) and Computational Mechanics (65 citations). Jay Peck has collaborated with scholars based in United States. Frequent co-authors include Hsi‐Wu Wong, Ian A. Waitz, Nagi N. Mansour, Jean Lachaud, Francesco Panerai, Christopher M. Spadaccini, Richard C. Miake‐Lye, Robin Bonomi, Michaël T. Timko and Philip Croteau. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, Aerosol Science and Technology, Polymer Degradation and Stability, Environmental Science & Technology and Journal of Analytical and Applied Pyrolysis.

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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