E. W. Saaski

609 citations
30 papers · 428 · h-index 9

Impact in

Papers in

E. W. Saaski

28 papers receiving 396 citations

Peers

E. W. Saaski
Comparison fields: 5 of 72
  • Bioengineering 85
  • Biomedical Engineering 221
  • Biotechnology 35
  • Endocrinology 16
  • Electrical and Electronic Engineering 155
Replace Ramji S. Lakshmanan with:
Ramji S. Lakshmanan United States
N. F. Hartman United States
Syed Barizuddin United States
Haiqing Gong Singapore
Ioanna Giouroudi Austria
H. John Crabtree Canada
Vasa Radonić Serbia
Ning Yuan China
Lars Blohm Germany
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Citations per field
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Citations per year

Countries citing papers authored by E. W. Saaski

Since Specialization
Citations

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

Fields of papers citing papers by E. W. Saaski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside E. W. Saaski, 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 E. W. Saaski Line = papers co-authored together E. W. Saaski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199991
2 199186
3 199956
4 199251
5 200339
6 199219
7 197712
8
Investigation of an inverted meniscus heat pipe wick concept
197510
9 199310
10 19887
11 19986
12
Investigation of bubbles in arterial heat pipes
19725
13 19754
14 19944
15 20094
16 19734
17 19983
18 19903
19
Two-phase working fluids for the temperature range of 50 to 350 deg, phase 2
19802
20
Two-phase working fluids for the temperature range 50 to 350 C
19772

About E. W. Saaski

E. W. Saaski is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology and Aerospace Engineering, having authored 30 papers that have together received 428 indexed citations. Recurring topics across this work include Heat Transfer and Boiling Studies (11 papers), Heat Transfer and Optimization (5 papers), Analytical Chemistry and Sensors (4 papers), Advanced Fiber Optic Sensors (4 papers), Fluid Dynamics and Mixing (4 papers), Semiconductor Lasers and Optical Devices (4 papers), Advanced Biosensing Techniques and Applications (4 papers) and Spacecraft and Cryogenic Technologies (4 papers). The work is most often cited by research in Bioengineering (85 citations), Biomedical Engineering (221 citations), Biotechnology (35 citations), Endocrinology (16 citations) and Electrical and Electronic Engineering (155 citations). E. W. Saaski has collaborated with scholars based in United States. Frequent co-authors include David A. McCrae, Gordon L. Mitchell, Roger A. Wolthuis, Daniel V. Lim, George P. Anderson, Martin A. Afromowitz, Keeley D. King, Karen Bullock, Frances S. Ligler and Brian M. Lingerfelt. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Food Protection, Biosensors and Bioelectronics, IEEE Sensors Journal and IEEE Transactions on Power Apparatus and Systems.

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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