Kai Morganti

1.2k citations
26 papers · 1.0k indexed · h-index 17
Topics
Advanced Combustion Engine Technologies (26 papers)Biodiesel Production and Applications (14 papers)Vehicle emissions and performance (13 papers)

In The Last Decade

Kai Morganti

26 papers receiving 989 citations

Peers

Kai Morganti
Comparison fields: 5 of 54
  • Fluid Flow and Transfer Processes 861
  • Computational Mechanics 532
  • Biomedical Engineering 471
  • Automotive Engineering 348
  • Aerospace Engineering 125
Replace Thomas G. Leone with:
Thomas G. Leone United States
Tien Mun Foong United States
Michael H. Shelby United States
Scott A. Miers United States
Cinzia Tornatore Italy
Bradley T. Zigler United States
R.S.G. Baert Netherlands
Gordon McTaggart-Cowan Canada
Yanqing Cui China
Timothy J. Jacobs United States
Kai Morganti relative to Thomas G. Leone United States Thomas G. Leone's profile →
Citations per field
00.5×1.7×
Thomas G. Leone · 1×
Citations per year

Countries citing papers authored by Kai Morganti

Since Specialization
Citations

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

Fields of papers citing papers by Kai Morganti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Morganti

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Morganti. A scholar is included among the top collaborators of Kai Morganti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Morganti. Kai Morganti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 16
3 7
4 48
5 3
6 67
7 12
8 21
9 39
10 43
11 6
12 31
13 41
14 47
15 25
16 41
17 38
18 244
19 86
20 88

About Kai Morganti

Kai Morganti is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (26 papers), Biodiesel Production and Applications (14 papers) and Vehicle emissions and performance (13 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (861 citations), Automotive Engineering (348 citations) and Computational Mechanics (532 citations). Kai Morganti has collaborated with scholars based in United States, Saudi Arabia and Australia. Frequent co-authors include Michael J. Brear, Yi Yang, Gabriel da Silva, Frederick L. Dryer, Tien Mun Foong, Gautam Kalghatgi, Ibrahim M. Algunaibet, Robert W. Dibble, Eshan Singh and S. Mani Sarathy. Their work appears in journals such as Energy & Environmental Science, Applied Energy and Energy Conversion and Management.

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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