Sam Williamson

2.6k citations
80 papers · 2.1k · h-index 22

Impact in

Papers in

Sam Williamson

75 papers receiving 1.9k citations

Peers

Sam Williamson
Comparison fields: 5 of 138
  • Energy Engineering and Power Technology 139
  • Cognitive Neuroscience 754
  • Pollution 153
  • Mechanics of Materials 309
  • Radiology, Nuclear Medicine and Imaging 236
Replace Young‐Keun Kim with:
Young‐Keun Kim South Korea
Yiming Deng United States
Linyuan Wang China
Takao Maeda Japan
Xin Ma China
Javier Romero Spain
Xiaowei Zhao United Kingdom
Kung‐Yen Lee Taiwan
Hamzah Arof Malaysia
Sam Williamson relative to Young‐Keun Kim South Korea Young‐Keun Kim's profile →
Citations per field
00.5×2×4×5.1×
Young‐Keun Kim · 1×
Citations per year

Countries citing papers authored by Sam Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Sam Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981275
2 1992248
3 1992235
4 2012204
5 1975125
6 201277
7 197075
8 199653
9 201843
10 201142
11 199839
12 202038
13 198336
14 201633
15 198533
16 202131
17 202026
18 201525
19 198224
20 202124

About Sam Williamson

Sam Williamson is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Cognitive Neuroscience, Mechanics of Materials and Mechanical Engineering, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cavitation Phenomena in Pumps (12 papers), Energy and Environment Impacts (11 papers), Neural dynamics and brain function (10 papers), Microgrid Control and Optimization (9 papers), Electric Motor Design and Analysis (9 papers), Smart Grid Energy Management (8 papers), Functional Brain Connectivity Studies (8 papers) and Hybrid Renewable Energy Systems (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (139 citations), Cognitive Neuroscience (754 citations), Pollution (153 citations), Mechanics of Materials (309 citations) and Radiology, Nuclear Medicine and Imaging (236 citations). Sam Williamson has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Lloyd Kaufman, J.D. Booker, Bernard H. Stark, Zhong‐Lin Lu, D. Brenner, N.G. Gençer, Paul Harper, Phil Mellor, Rafał Wróbel and Y.Z. Ider. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Energy Sustainable Development, Brain Topography, Physical Review Letters and Energies.

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.

Explore authors with similar magnitude of impact