Sid Becker

62 papers receiving 1.2k citations

Peers

Sid Becker
Comparison fields: 5 of 102
  • Fluid Flow and Transfer Processes 309
  • Biotechnology 206
  • Pharmaceutical Science 136
  • Computational Mechanics 435
  • Automotive Engineering 161
Replace Sang Yong Lee with:
Sang Yong Lee South Korea
William R. Ketterhagen United States
Xiaoyu Wang China
S. McKee United Kingdom
Sung Jin Kim South Korea
Konstantin I. Matveev United States
Dhiman Chatterjee India
Mehrdad Negahban United States
Haowei Li China
S. Ramadhyani United States
Sid Becker relative to Sang Yong Lee South Korea Sang Yong Lee's profile →
Citations per field
00.5×10×15×18.7×
Sang Yong Lee · 1×
Citations per year

Countries citing papers authored by Sid Becker

Since Specialization
Citations

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

Fields of papers citing papers by Sid Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 2020130
3 202373
4 201368
5 202258
6 202345
7 202040
8 201939
9 201937
10 200636
11 202335
12 201433
13 202231
14 200729
15 202228
16 202328
17 200427
18 202325
19 201123
20 202323

About Sid Becker

Sid Becker is a scholar working on Computational Mechanics, Biomedical Engineering, Biotechnology, Pharmaceutical Science and Electrical and Electronic Engineering, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (19 papers), Advancements in Transdermal Drug Delivery (12 papers), Combustion and flame dynamics (12 papers), Microfluidic and Bio-sensing Technologies (11 papers), Advanced Combustion Engine Technologies (9 papers), Fluid Dynamics and Heat Transfer (7 papers), Ultrasound and Cavitation Phenomena (6 papers) and Toxin Mechanisms and Immunotoxins (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (309 citations), Biotechnology (206 citations), Pharmaceutical Science (136 citations), Computational Mechanics (435 citations) and Automotive Engineering (161 citations). Sid Becker has collaborated with scholars based in New Zealand, United States and China. Frequent co-authors include Dan Zhao, A. V. Kuznetsov, Bradley Boyd, He Zhao, Nataša Pavšelj, Damijan Miklavčič, Yancheng You, Yue Huang, Tao Cai and Zhiyu Wang. Their work appears in journals such as Journal of Biomechanical Engineering, Applied Thermal Engineering, International Journal of Heat and Mass Transfer, International Journal of Hydrogen Energy and Journal of Heat Transfer.

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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