S. Hackwood

1.7k citations
53 papers · 1.3k · h-index 19

Impact in

Papers in

S. Hackwood

48 papers receiving 1.2k citations

Peers

S. Hackwood
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 696
  • Polymers and Plastics 150
  • Human-Computer Interaction 53
  • Mechanical Engineering 326
  • Electronic, Optical and Magnetic Materials 157
Replace Lawrence A. Hornak with:
Lawrence A. Hornak United States
Sung‐Hoon Hong South Korea
Masao Sugi Japan
Hui‐Qiong Wang China
Ce Zhou China
Kenji Ishida Japan
Zheyao Wang China
Zheng Sun China
Arshad Khan Qatar
S. Hackwood relative to Lawrence A. Hornak United States Lawrence A. Hornak's profile →
Citations per field
00.5×7.8×
Lawrence A. Hornak · 1×
Citations per year

Countries citing papers authored by S. Hackwood

Since Specialization
Citations

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

Fields of papers citing papers by S. Hackwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981177
2 1982143
3 1982118
4 1983105
5 198264
6 198157
7 198156
8 198353
9 198252
10 199044
11 200335
12 198135
13 200332
14 198931
15 198622
16 200222
17 198120
18 198320
19 198418
20 198117

About S. Hackwood

S. Hackwood is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Computer Networks and Communications, Media Technology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (9 papers), Advanced Memory and Neural Computing (7 papers), Image Processing Techniques and Applications (6 papers), Electrowetting and Microfluidic Technologies (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Cellular Automata and Applications (5 papers), Transition Metal Oxide Nanomaterials (5 papers) and Photonic and Optical Devices (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (696 citations), Polymers and Plastics (150 citations), Human-Computer Interaction (53 citations), Mechanical Engineering (326 citations) and Electronic, Optical and Magnetic Materials (157 citations). S. Hackwood has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include G. Beni, J. Jackel, H. G. Craighead, Julian Cheng, Roger G. Linford, L. M. Schiavone, W. C. Dautremont–Smith, Lawrence A. Hornak, Rosalee Wolfe and A. H. Dayem. Their work appears in journals such as Applied Physics Letters, The International Journal of Robotics Research, Solid State Ionics, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Journal of Applied Electrochemistry.

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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