Sid Becker

1.5k citations
54 papers · 1.1k indexed · h-index 20

Sid Becker

51 papers receiving 1.1k citations

Peers

Sid Becker
Comparison fields: 5 of 97
  • Fluid Flow and Transfer Processes 300
  • Computational Mechanics 410
  • Biotechnology 155
  • Pharmaceutical Science 101
  • Automotive Engineering 157
Replace Sang Yong Lee with:
Sang Yong Lee South Korea
William R. Ketterhagen United States
Konstantin I. Matveev United States
Shixing Wang China
Dhiman Chatterjee India
Mehrdad Negahban United States
Maziyar Jalaal Canada
S. Ramadhyani United States
Gaetano D’Avino Italy
Siamak Kazemzadeh Hannani Iran
Sid Becker relative to Sang Yong Lee South Korea Sang Yong Lee's profile →
Citations per field
00.5×10×14.1×
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-authorship network

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
#Work
1 20253
2 20241
3 20241
4 202344
5 20231
6 20225
7 20226
8 20210
9 20216
10 20214
11 202039
12 20191
13 20195
14 20187
15 201719
16 201513
17 201428
18 201358
19 201314
20 200515

About Sid Becker

Sid Becker is a scholar working on Biotechnology, Fluid Flow and Transfer Processes, Pharmaceutical Science, Computational Mechanics and Biomedical Engineering, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (14 papers), Combustion and flame dynamics (12 papers), Advanced Combustion Engine Technologies (9 papers), Microfluidic and Bio-sensing Technologies (9 papers), Advancements in Transdermal Drug Delivery (7 papers), Fluid Dynamics and Heat Transfer (6 papers), Heat transfer and supercritical fluids (4 papers) and Transgenic Plants and Applications (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (300 citations), Computational Mechanics (410 citations), Biotechnology (155 citations), Pharmaceutical Science (101 citations) and Automotive Engineering (157 citations). Sid Becker has collaborated with scholars based in New Zealand, United States and China. Frequent co-authors include Dan Zhao, A. V. Kuznetsov, He Zhao, Damijan Miklavčič, Tao Cai, Nataša Pavšelj, Zhiyu Wang, Jianqin Fu, Yancheng You and Bin Wang. Their work appears in journals such as Journal of Biomechanical Engineering, Applied Thermal Engineering, International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and International Journal of Thermal Sciences.

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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