T.J. Kotas

524 citations
16 papers · 319 indexed · h-index 8
Topics
Process Optimization and Integration (5 papers)Fluid Dynamics and Turbulent Flows (4 papers)Particle Dynamics in Fluid Flows (4 papers)
Partner nations
United Kingdom

In The Last Decade

T.J. Kotas

15 papers receiving 301 citations

Peers

T.J. Kotas
Comparison fields: 5 of 61
  • Mechanical Engineering 137
  • Computational Mechanics 90
  • Biomedical Engineering 76
  • Ocean Engineering 60
  • Control and Systems Engineering 55
Replace S. Spoelstra with:
S. Spoelstra Netherlands
J. Cervantes Mexico
Ali Jafarian Iran
Marco Gazzino Italy
Aghil Iranmanesh Iran
Paul A. Dellenback United States
Nenad Sarunac United States
Jue Zhou China
Chunjian Pan United States
Pascal Stouffs France
T.J. Kotas relative to S. Spoelstra Netherlands S. Spoelstra's profile →
Citations per field
00.5×1.5×1.8×
S. Spoelstra · 1×
Citations per year

Countries citing papers authored by T.J. Kotas

Since Specialization
Citations

This map shows the geographic impact of T.J. Kotas'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 T.J. Kotas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Kotas more than expected).

Fields of papers citing papers by T.J. Kotas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Kotas. 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 T.J. Kotas. The network helps show where T.J. Kotas may publish in the future.

Co-authorship network of co-authors of T.J. Kotas

This figure shows the co-authorship network connecting the top 25 collaborators of T.J. Kotas. A scholar is included among the top collaborators of T.J. Kotas 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 T.J. Kotas. T.J. Kotas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1
Different definitions of exergetic efficiences
2
2
An exergy analysis of an oil distillation process
1
3 27
4 8
5
Exergy Method of thermal and chemical plant analysis
43
6 2
7 9
8 80
9 65
10 63
11
An experimental study of a confined vortex flow
1
12 0
13
A solution for the turbulent boundary layer on the end wall of a vortex chamber
1
14 8
15 4
16 5

About T.J. Kotas

T.J. Kotas is a scholar working on Ocean Engineering, Statistical and Nonlinear Physics and Computational Mechanics, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Process Optimization and Integration (5 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Particle Dynamics in Fluid Flows (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (14 citations), Computational Mechanics (90 citations) and Ocean Engineering (60 citations). T.J. Kotas has collaborated with scholars based in United Kingdom. Frequent co-authors include Y. R. Mayhew, E.J. Le Fevre and Gerard Hirs. Their work appears in journals such as Journal of Fluid Mechanics, Process Safety and Environmental Protection and International Journal of Heat and Fluid Flow.

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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