Kyle E. Niemeyer

2.7k citations
95 papers · 1.4k · h-index 17

Impact in

Papers in

Kyle E. Niemeyer

86 papers receiving 1.4k citations

Peers

Kyle E. Niemeyer
Comparison fields: 5 of 126
  • Fluid Flow and Transfer Processes 668
  • Computational Mechanics 651
  • Information Systems and Management 158
  • Aerospace Engineering 180
  • Atmospheric Science 127
Replace James C. Sutherland with:
James C. Sutherland United States
Yue Yang China
Ángelo Lucia United States
Bert Debusschere United States
Daniel Graves United States
Vassil Alexandrov United Kingdom
Ganesh Subramanian India
Michael Resch Germany
Damien Lebrun-Grandié United States
Kyle E. Niemeyer relative to James C. Sutherland United States James C. Sutherland's profile →
Citations per field
00.5×10×14.4×
James C. Sutherland · 1×
Citations per year

Countries citing papers authored by Kyle E. Niemeyer

Since Specialization
Citations

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

Fields of papers citing papers by Kyle E. Niemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle E. Niemeyer. 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 Kyle E. Niemeyer. The network helps show where Kyle E. Niemeyer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010288
2 2016123
3 201195
4 201778
5 201976
6 201773
7 201359
8 202256
9 201456
10 201648
11 201834
12 201528
13 200924
14 201720
15 201818
16 201817
17 201416
18 201616
19 201615
20 201915

About Kyle E. Niemeyer

Kyle E. Niemeyer is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Materials Chemistry and Biomedical Engineering, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (25 papers), Heat transfer and supercritical fluids (15 papers), Catalytic Processes in Materials Science (10 papers), Scientific Computing and Data Management (8 papers), Combustion and Detonation Processes (8 papers), Vehicle emissions and performance (7 papers) and Research Data Management Practices (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (668 citations), Computational Mechanics (651 citations), Information Systems and Management (158 citations), Aerospace Engineering (180 citations) and Atmospheric Science (127 citations). Kyle E. Niemeyer has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Chih‐Jen Sung, Mandhapati Raju, Daniel S. Katz, Arfon M. Smith, William Cannella, Tyler Huntington, Corinne D. Scown, Vi H. Rapp, Bryan W. Weber and Ariel Rokem. Their work appears in journals such as Combustion and Flame, Fuel, Journal of Computational Physics, Geoscientific model development and Computer Physics Communications.

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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